Donald Rubin | Academic Influence

Donald Rubin's AcademicInfluence.com Rankings

Donald Rubin

Mathematics

#226

World Rank

#496

Historical Rank

#106

USA Rank

Statistics

#4

World Rank

#7

Historical Rank

#1

USA Rank

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Mathematics

Why Is Donald Rubin Influential?

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According to Wikipedia, Donald Bruce Rubin is an Emeritus Professor of Statistics at Harvard University, where he chaired the department of Statistics for 13 years. He also works at Tsinghua University in China and at Temple University in Philadelphia.

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Donald Rubin's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper (1977) (50586)
The central role of the propensity score in observational studies for causal effects (1983) (27763)
Inference from Iterative Simulation Using Multiple Sequences (1992) (13247)
Statistical Analysis with Missing Data (1988) (10431)
Bayesian Data Analysis (1996) (10094)
INFERENCE AND MISSING DATA (1975) (8757)
Estimating causal effects of treatments in randomized and nonrandomized studies. (1974) (8052)
Multiple imputation for nonresponse in surveys (1989) (6921)
Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score (1985) (5887)
Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data (2002) (5708)
Identification of Causal Effects Using Instrumental Variables (1993) (5588)
Reducing Bias in Observational Studies Using Subclassification on the Propensity Score (1984) (4049)
Multiple Imputation After 18+ Years (1996) (3677)
Testing the number of components in a normal mixture (2001) (3643)
Bayesian data analysis, third edition (2013) (2716)
Bayesian Inference for Causal Effects: The Role of Randomization (1978) (2386)
Comparing correlated correlation coefficients (1992) (2346)
Maximum likelihood estimation via the ECM algorithm: A general framework (1993) (1855)
Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation (2001) (1769)
[On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies (1990) (1669)
The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. (1974) (1586)
Principal Stratification in Causal Inference (2002) (1381)
Multiple imputation in health-care databases: an overview and some applications. (1991) (1327)
Assignment to Treatment Group on the Basis of a Covariate (1976) (1307)
Matching using estimated propensity scores: relating theory to practice. (1996) (1304)
Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician (1984) (1269)
Max-imum Likelihood from Incomplete Data (1972) (1210)
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (2015) (1196)
Causal Inference Using Potential Outcomes (2005) (1166)
A Simple, General Purpose Display of Magnitude of Experimental Effect (1982) (1140)
Interpersonal expectancy effects: the first 345 studies (1978) (1108)
Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome (1983) (1048)
Controlling Bias in Observational Studies: A Review. (1974) (1025)
The Analysis of Social Science Data with Missing Values (1989) (1022)
The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials (2007) (1012)
Fully conditional specification in multivariate imputation (2006) (1007)
Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies (1978) (929)
Matched Sampling for Causal Effects: Matching to Remove Bias in Observational Studies (1973) (901)
Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse (1986) (745)
For objective causal inference, design trumps analysis (2008) (733)
Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates (2000) (721)
Small-sample degrees of freedom with multiple imputation (1999) (715)
Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. (2000) (695)
Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment (1980) (629)
EM algorithms for ML factor analysis (1982) (627)
The Bayesian Bootstrap (1981) (619)
The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence (1994) (619)
Ignorability and Coarse Data (1991) (602)
Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM Algorithm (1991) (596)
Matched Sampling for Causal Effects: The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies (1973) (579)
Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach (1999) (566)
Bayesian inference for causal effects in randomized experiments with noncompliance (1997) (551)
Statistical Analysis with Missing Data, Third Edition (2019) (539)
Formal modes of statistical inference for causal effects (1990) (494)
Contrasts and Effect Sizes in Behavioral Research (1999) (479)
Statistical Matching Using File Concatenation With Adjusted Weights and Multiple Imputations (1986) (472)
Statistics and Causal Inference: Comment: Which Ifs Have Causal Answers (1986) (461)
Contrasts and Correlations in Effect-Size Estimation (2000) (457)
Estimating Outcome Distributions for Compliers in Instrumental Variables Models (1997) (449)
MULTIPLE IMPUTATIONS IN SAMPLE SURVEYS-A PHENOMENOLOGICAL BAYESIAN APPROACH TO NONRESPONSE (2002) (444)
Estimation in Covariance Components Models (1981) (441)
Multiple Imputation for Statistical Disclosure Limitation (2003) (434)
Comparing Effect Sizes of Independent Studies (1982) (408)
Formalizing Subjective Notions about the Effect of Nonrespondents in Sample Surveys (1977) (403)
Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes (1999) (400)
Causal Inference for Statistics, Social, and Biomedical Sciences: A General Method for Estimating Sampling Variances for Standard Estimators for Average Causal Effects (2015) (393)
Identification of Causal Effects Using Instrumental Variables: Comment (1996) (384)
The bias due to incomplete matching. (1983) (380)
Assessing the effect of an influenza vaccine in an encouragement design. (2000) (375)
Causal Inference for Statistics, Social, and Biomedical Sciences: Sensitivity Analysis and Bounds (2015) (369)
BEST PRACTICES IN QUASI- EXPERIMENTAL DESIGNS Matching Methods for Causal Inference (2007) (346)
Meta-Analytic Procedures for Combining Studies With Multiple Effect Sizes (1986) (345)
Estimation and Hypothesis Testing in Finite Mixture Models (1985) (340)
Bias Reduction Using Mahalanobis-Metric Matching (1980) (338)
Direct and Indirect Causal Effects via Potential Outcomes * (2004) (334)
Performing likelihood ratio tests with multiply-imputed data sets (1992) (330)
Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Death” (2003) (329)
ML ESTIMATION OF THE t DISTRIBUTION USING EM AND ITS EXTENSIONS, ECM AND ECME (1999) (329)
r equivalent: A simple effect size indicator. (2003) (323)
Comment : A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest : The SIR Algorithm (1987) (318)
Intention‐to‐treat analysis and the goals of clinical trials (1995) (312)
Large-sample significance levels from multiply imputed data using moment-based statistics and an F reference distribution (1991) (312)
Comment: Which Ifs Have Causal Answers (1986) (307)
In utero exposure to phenobarbital and intelligence deficits in adult men. (1995) (299)
Matched Sampling for Causal Effects (2006) (296)
Estimating and Using Propensity Scores with Partially Missing Data (2000) (292)
On principles for modeling propensity scores in medical research (2004) (285)
Rerandomization to improve covariate balance in experiments (2012) (269)
BIAS REDUCTION USING MAHALANOBIS METRIC MATCHING (1978) (268)
Comparing Correlated but Nonoverlapping Correlations (1996) (263)
Estimation in Parallel Randomized Experiments (1981) (261)
Measuring the Appropriateness of Multiple-Choice Test Scores (1979) (261)
Parameter expansion to accelerate EM: The PX-EM algorithm (1998) (259)
A Potential Outcomes View of Value-Added Assessment in Education (2004) (258)
Incomplete data in sample surveys (1985) (252)
Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism. (1991) (250)
Significance levels from repeated p-values with multiply imputed data (1991) (243)
The Effect of Implicit Contracts on the Movement of Wages Over the Business Cycle : Evidence from Micro Data (2007) (242)
Principal Stratification Approach to Broken Randomized Experiments (2003) (239)
Comment : Neyman ( 1923 ) and Causal Inference in Experiments and Observational Studies (2007) (237)
Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome. Commentary. Authors' reply (1999) (237)
Further meta-analytic procedures for assessing cognitive gender differences. (1982) (231)
Validation of Software for Bayesian Models Using Posterior Quantiles (2006) (223)
A Note on Percent Variance Explained as A Measure of the Importance of Effects (1979) (222)
Characterizing the Estimation of Parameters in Incomplete-Data Problems (1974) (218)
The Bias Due to Incomplete Matching (1985) (216)
Markov chain Monte Carlo methods in biostatistics (1996) (206)
Handling “Don't Know” Survey Responses: The Case of the Slovenian Plebiscite (1995) (206)
Bayesian Inference for Causal Effects (2005) (205)
Multiple Imputation of Industry and Occupation Codes in Census Public-use Samples Using Bayesian Logistic Regression (1991) (198)
A method for calibrating false-match rates in record linkage (1995) (197)
Criminality in XYY and XXY men. (1976) (196)
Characterizing the effect of matching using linear propensity score methods with normal distributions (1992) (195)
Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with “Censoring” Due to Death (2006) (195)
Inference from Coarse Data via Multiple Imputation with Application to Age Heaping (1990) (191)
Iterative Automated Record Linkage Using Mixture Models (2001) (189)
Using Empirical Bayes Techniques in the Law School Validity Studies (1980) (185)
On Jointly Estimating Parameters and Missing Data by Maximizing the Complete-Data Likelihood (1983) (173)
A Single Series from the Gibbs Sampler Provides a False Sense of Security * (2008) (167)
Combining Panel Data Sets with Attrition and Refreshment Samples (1998) (165)
Selection Modeling Versus Mixture Modeling with Nonignorable Nonresponse (1986) (156)
ON LORD'S PARADOX (1982) (155)
Comment on "Causal inference without counterfactuals," by Dawid AP (2000) (154)
Difficulties with regression analyses of age-adjusted rates. (1984) (148)
Principal Stratification for Causal Inference With Extended Partial Compliance (2008) (146)
Multiple imputation in mixture models for nonignorable nonresponse with follow-ups (1993) (140)
Affinely Invariant Matching Methods with Ellipsoidal Distributions (1992) (135)
Causal Inference in Retrospective Studies (1987) (133)
Multiple imputations in sample surveys (1978) (130)
Multivariate Matching Methods That are Equal Percent Bias Reducing, II: Maximums on Bias Reduction for Fixed Sample Sizes (1976) (129)
Multiple Imputation for Multivariate Data with Missing and Below‐Threshold Measurements: Time‐Series Concentrations of Pollutants in the Arctic (2001) (129)
The Counternull Value of an Effect Size: A New Statistic (1994) (128)
Identification of Causal Effects Using Instrumental Variables: Rejoinder (1996) (126)
Reliability of measurement in psychology: From Spearman-Brown to maximal reliability. (1996) (125)
CHAPMAN & HALL/CRC Texts in Statistical Science Series (2002) (121)
Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification (2009) (118)
Nested multiple imputation of NMES via partially incompatible MCMC (2003) (117)
Causal Effects of Perceived Immutable Characteristics (2011) (115)
Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models: Comment (1999) (114)
AN OVERVIEW OF MULTIPLE IMPUTATION (2002) (109)
THE ACCEPTABILITY OF REGRESSION SOLUTIONS: ANOTHER LOOK AT COMPUTATIONAL ACCURACY (1972) (106)
Clustered encouragement designs with individual noncompliance: bayesian inference with randomization, and application to advance directive forms. (2002) (104)
EM and beyond (1991) (104)
More powerful randomization-based p-values in double-blind trials with non-compliance. (1998) (101)
Matching With Multiple Control Groups With Adjustment for Group Differences (2008) (98)
Teaching Statistical Inference for Causal Effects in Experiments and Observational Studies (2004) (97)
Comparing Significance Levels of Independent Studies (1979) (96)
Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data (2012) (96)
Multiple Contrasts and Ordered Bonferroni Procedures (1984) (96)
MULTIVARIATE MATCHING METHODS THAT ARE EQUAL PERCENT BIAS REDUCING, I: SOME EXAMPLES (1974) (95)
Should observational studies be designed to allow lack of balance in covariate distributions across treatment groups? (2009) (95)
Propensity score methods. (2010) (94)
Multivariate matching methods that are equal percent bias reducing, I : some examples (1976) (91)
Comment: Assumptions and Procedures in the File Drawer Problem (1988) (91)
Incomplete data in sample surveys. Vol. 2: theory and bibliographies (1983) (90)
On the global and componentwise rates of convergence of the EM algorithm (1994) (90)
Estimating the Causal Effects of Marketing Interventions Using Propensity Score Methodology (2006) (86)
Asymptotic theory of rerandomization in treatment–control experiments (2016) (85)
Comment: The Design and Analysis of Gold Standard Randomized Experiments (2008) (84)
Evaluating the effects of job training programs on wages through principal stratification (2008) (82)
A Non‐Iterative Algorithm for Least Squares Estimation of Missing Values in Any Analysis of Variance Design (1972) (82)
Projecting From Advance Data Using Propensity Modeling: An Application to Income and Tax Statistics (1992) (79)
Resolving the latent structure of schizophrenia endophenotypes using expectation-maximization-based finite mixture modeling. (2007) (79)
Effect Size Estimation for One-Sample Multiple-Choice-Type Data: Design, Analysis, and Meta-Analysis (1989) (79)
Principal stratification approach to broken randomized experiments: A case study of school choice vouchers in New York City. Comments. Authors' reply (2003) (79)
Affinely invariant matching methods with discriminant mixtures of proportional ellipsoidally symmetric distributions (2006) (78)
The Computerized Construction of a Matched Sample (1970) (76)
Meta-Analysis: Literature Synthesis or Effect-Size Surface Estimation? (1992) (74)
Rerandomization to Balance Tiers of Covariates (2015) (73)
Maximum-Likelihood Estimation in Panel Studies with Missing Data (1980) (73)
Rubin Causal Model (2011) (73)
Reflections stimulated by the comments of Shadish (2010) and West and Thoemmes (2010). (2010) (72)
Bayes and Multiple Imputation (2014) (72)
Rumor and Gossip Research (2005) (69)
‘Clarifying missing at random and related definitions, and implications when coupled with exchangeability’ (2015) (69)
Discussion on Multiple Imputation (2003) (68)
Multivariate matching methods that are equal percent bias reducing (1974) (68)
On the limitations of comparative effectiveness research (2010) (68)
Empirical bayes estimation of coefficients in the general linear model from data of deficient rank (1983) (67)
Logit-Based Interval Estimation for Binomial Data Using the Jeffreys Prior (1987) (66)
Hypothesis: A single clinical trial plus causal evidence of effectiveness is sufficient for drug approval (2003) (65)
Causal inference from 2K factorial designs by using potential outcomes (2015) (64)
Principal Stratification Designs to Estimate Input Data Missing Due to Death (2007) (64)
Avoiding Model Selection in Bayesian Social Research (1995) (62)
Assumptions allowing the estimation of direct causal effects (2003) (62)
Hierarchical logistic regression models for imputation of unresolved enumeration status in undercount estimation. (1993) (60)
[Propensity score methods for creating covariate balance in observational studies]. (2011) (59)
THE EFFECTIVENESS OF COACHING FOR THE SAT: REVIEW AND REANALYSIS OF RESEARCH FROM THE FIFTIES TO THE FTC (1980) (59)
MULTIPLE IMPUTATION OF MISSING BLOOD ALCOHOL CONCENTRATION (BAC) VALUES IN FARS (1998) (59)
The Design of a General and Flexible System for Handling Nonresponse in Sample Surveys (2004) (58)
Ellipsoidally symmetric extensions of the general location model for mixed categorical and continuous data (1998) (56)
The analysis of repeated-measures data on schizophrenic reaction times using mixture models. (1995) (56)
Rounding Error in Regression: The Appropriateness of Sheppard's Corrections, (1983) (55)
Ensemble-Adjusted p Values (1983) (55)
A Broader Template for Analyzing Broken Randomized Experiments (1998) (54)
Did the Military Interventions in the Mexican Drug War Increase Violence? (2015) (53)
Multiple imputation for nonresponse in surveys (book review) (1989) (52)
Selection modelling versus mixture modelling with nonignorable nonresponse (1986) (52)
The NHANES III multiple imputation project (1996) (52)
Multiple-bias modelling for analysis of observational data - Discussion (2005) (52)
Sensitivity analysis for a partially missing binary outcome in a two‐arm randomized clinical trial (2014) (49)
Statistical Analysis: Summarizing Evidence Versus Establishing Facts (1985) (49)
Estimation of causal effects of binary treatments in unconfounded studies (2015) (48)
Finding maximum likelihood estimates of patterned covariance matrices by the EM algorithm (1982) (48)
MAXIMUM LIKELIHOOD ESTIMATION OF FACTOR ANALYSIS USING THE ECME ALGORITHM WITH COMPLETE AND INCOMPLETE DATA (1998) (45)
Spatial and object working memory impairments in schizophrenia patients: a Bayesian item-response theory analysis. (2002) (45)
Credible Causal Inference for Empirical Legal Studies (2011) (42)
Matching methods for causal inference: Designing observational studies (2007) (41)
Issues in summarizing the first 345 studies of interpersonal expectancy effects (1978) (40)
A Modified General Location Model for Noncompliance With Missing Data (2010) (39)
Iteratively Reweighted Least Squares (2006) (39)
EFFECT OF INCREASED TEST‐TAKING TIME ON TEST SCORES BY ETHNIC GROUP, YEARS OUT OF SCHOOL, AND SEX (1982) (38)
The Varying Role of Voter Information Across Democratic Societies (2007) (38)
Robust estimation of causal effects of binary treatments in unconfounded studies with dichotomous outcomes (2013) (38)
Addressing an Idiosyncrasy in Estimating Survival Curves Using Double Sampling in the Presence of Self‐Selected Right Censoring (2001) (37)
Rejection, rebuttal, revision: Some flexible features of peer review (1982) (37)
2 Statistical Inference for Causal Effects, With Emphasis on Applications in Epidemiology and Medical Statistics (2007) (36)
Individual privacy versus public good: protecting confidentiality in health research (2015) (35)
Public Schools Versus Private Schools: Causal Inference With Partial Compliance (2009) (34)
Efficiently Simulating the Coverage Properties of Interval Estimates (1986) (33)
Matched Sampling for Causal Effects: William G. Cochran's Contributions to the Design, Analysis, and Evaluation of Observational Studies (2006) (33)
Bridging observational studies and randomized experiments by embedding the former in the latter (2017) (33)
More on EM for ML factor analysis (1983) (33)
Missing data, imputation, and the bootstrap. Comment (1994) (32)
A stimulation study to evaluate the performance of model-based multiple imputations in HCHS health examination surveys (1995) (32)
Using Mixture Models in Temperament Research (1995) (32)
Modeling schizophrenic behavior using general mixture components. (1997) (31)
A Research Agenda for Assessment and Propagation of Model Uncertainty (1987) (31)
Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments (2018) (30)
Estimating the causal effects of smoking (2001) (30)
Rejoinder to Discussions on Addressing an Idiosyncrasy in Estimating Survival Curves Using Double Sampling in the Presence of Self‐Selected Right Censoring (2001) (30)
Sequential rerandomization (2017) (29)
Comment: Estimating the Effects Caused by Treatments (1984) (29)
Propensity score methods for creating covariate balance in observational studies (2011) (28)
Sensitivity of Bayes Inference with Data-Dependent Stopping Rules (1984) (28)
Assumptions when Analyzing Randomized Experiments with Noncompliance and Missing Outcomes (2002) (28)
Relating tests given to different samples (1978) (28)
Single Imputation Methods (2014) (28)
Multiple Imputation by Ordered Monotone Blocks With Application to the Anthrax Vaccine Research Program (2014) (28)
Assessing Sensitivity to an Unobserved Binary Covariate in a Nonrandomized Experiment with Binary Outcome. (1982) (27)
School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment (2001) (27)
Imputing Missing Data by Fully Conditional Models : Some Cautionary Examples and Guidelines (2012) (27)
Improving covariate balance in 2K factorial designs via rerandomization with an application to a New York City Department of Education High School Study (2016) (27)
Testing treatment effects in unconfounded studies under model misspecification: Logistic regression, discretization, and their combination (2009) (25)
Conditions for Ignoring the Missing-Data Mechanism in Likelihood Inferences for Parameter Subsets (2017) (24)
Finding the "genuine" schizotype: a model and method for resolving heterogeneity in performance on laboratory measures in experimental psychopathology research. (2003) (23)
A Bayesian Perspective on the Analysis of Unreplicated Factorial Experiments Using Potential Outcomes (2016) (23)
Diagnostics for confounding in PK/PD models for oxcarbazepine (2007) (23)
Intermittent degradation in performance in schizophrenia (1999) (23)
Matched Sampling for Causal Effects: Contributor Acknowledgments (2006) (23)
Comparing Regressions When Some Predictor Values Are Missing (1976) (22)
Efficient Methods for Estimation and Testing with Seemingly Unrelated Regressions in the Presence of Latent Variables and Missing Observations (1996) (22)
When possible, report a Fisher-exact P value and display its underlying null randomization distribution (2020) (22)
Some applications of Bayesian statistics to educational data (1983) (22)
Matched Sampling for Causal Effects: Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation (2006) (22)
Multiple Imputation Methods (2005) (21)
Noniterative Least Squares Estimates, Standard Errors and F‐Tests for Analyses of Variance with Missing Data (1976) (21)
Statistical Inference for Causal Effects (2011) (20)
Essential concepts of causal inference: a remarkable history and an intriguing future (2019) (20)
Matching with Multiple Control Groups , and Adjusting for Group Differences (2005) (20)
THE VARIANCE OF A LINEAR COMBINATION OF INDEPENDENT ESTIMATORS USING ESTIMATED WEIGHTS (1974) (20)
Measurement Error and Regression to the Mean in Matched Samples (1971) (20)
On Variance Estimation With Imputed Survey Data: Comment (1996) (19)
Comment: Dose-Response Estimands (1991) (19)
Discussion of “on State Education Statistics”: A Difficulty with Regression Analyses of Regional Test Score Averages (1985) (19)
Evaluating and Using Statistical Methods in the Social Sciences (1999) (19)
Further issues in effect size estimation for one-sample multiple-choice-type data (1991) (18)
19 Incomplete Data in Epidemiology and Medical Statistics (2007) (17)
STATISTICAL CHOICES IN INFANT TEMPERAMENT RESEARCH (1994) (17)
Comments on the Neyman-Fisher Controversy and Its Consequences (2014) (16)
Causal inference from $2^k$ factorial designs using the potential outcomes model (2012) (16)
A Case Study of the Robustness of Bayesian Methods of Inference: Estimating the Total in a Finite Population Using Transformations to Normality (1983) (16)
Test Equating From Biased Samples, With Application to the Armed Services Vocational Aptitude Battery (1994) (16)
Tasks in statistical inference for studying variation in medicine. (1993) (15)
Markov-Normal analysis of iterative simulations before their convergence (1996) (15)
Automatic detection of influential actors in disinformation networks (2020) (15)
Complete‐Case and Available‐Case Analysis, Including Weighting Methods (2014) (15)
Causal inference for ordinal outcomes (2015) (15)
Basic Concepts of Statistical Inference for Causal Effects in Experiments and Observational Studies (2004) (14)
Rerandomization in $2^{K}$ factorial experiments (2018) (14)
Sex Differences in Developmental Milestones During the First Year of Life (1991) (14)
Estimating the Effects Caused by Treatments (1984) (14)
A Note on Bayesian, Likelihood, and Sampling Distribution Inferences (1978) (14)
On the Nature and Discovery of Structure: Comment (1984) (14)
Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes (2018) (14)
Statistical Issues in the Estimation of the Causal Effects of Smoking Due to the Conduct of the Tobacco Industry (2000) (14)
A COMPARISON OF IMPUTATION TECHNIQUES IN THE THIRD NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY (2002) (14)
Algorithms for multiple imputation and posterior simulation from incomplete multivariate data with ignorable nonresponse (1992) (14)
Comment: Assessing the Fit of Logistic Regressions Using the Implied Discriminant Analysis (1984) (14)
Matched Sampling for Causal Effects: Matched Sampling for Causal Effects (2006) (13)
Summarizing multiple-choice tests using three informative statistics. (1991) (12)
Re: "dealing with missing outcome data in randomized trials and observational studies". (2012) (12)
Multiple Imputation in the Anthrax Vaccine Research Program (2010) (12)
Analyses that Inform Policy Decisions (2012) (12)
The ethics of consulting for the tobacco industry (2002) (12)
Imputing Income in the CPS: Comments on "Measures of Aggregate Labor Cost in the United States" (1983) (11)
THE GRADUATE MANAGEMENT ADMISSION TEST PREDICTION BIAS STUDY (1981) (11)
On estimating the causal effects of DNR orders. (1999) (11)
Discussion of: 'Causal Diagrams for Empirical Research' by J. Pearl (1995) (11)
Computational aspects of analysing random effects/longitudinal models. (1992) (11)
Comment: Distinguishing between the Scale of the Estimand and the Transformation to Normality (1984) (11)
Procedures with Nonignorable Nonresponse (2008) (11)
A hierarchical finite mixture model that accommodates zero‐inflated counts, non‐independence, and heterogeneity (2014) (10)
Missing Data in Experiments (2014) (10)
MISSING DATA IN LARGE DATA SETS (1983) (10)
BAYES, NEYMAN, AND CALIBRATION (1995) (10)
ESTIMATING CAUSAL EFFECTS OF TREATMENTS IN EXPERIMENTAL AND OBSERVATIONAL STUDIES (1972) (10)
Composite Points in Weighted Least Squares Regressions (1980) (10)
Randomization to Randomization Probability: Estimating Treatment Effects Under Actual Conditions of Use (2017) (10)
On optimal rerandomization designs (2021) (9)
Further issues in summarizing 345 studies of interpersonal expectancy effects (1980) (9)
Influence Estimation on Social Media Networks Using Causal Inference (2018) (9)
Gaussian process models (2013) (9)
Bayesian causal inference: Approaches to estimating the effect of treating hospital type on cancer survival in Sweden using principal stratification (2018) (9)
[Practical Markov Chain Monte Carlo]: Rejoinder: Replication without Contrition (1992) (9)
Compliance as an Explanatory Variable in Clinical Trials: Comment: Dose-Response Estimands (1991) (8)
Outcome-free Design of Observational Studies: Peer Influence on Smoking (2008) (8)
Resolving the latent structure of schizophrenia endophenotypes using em-based finite mixture modeling (2007) (8)
Using Parameter Expansion to Improve the Performance of the EM Algorithm for Multidimensional IRT Population-Survey Models (2001) (8)
Nonstandard conditionally specified models for nonignorable missing data (2020) (8)
SAMPLE SIZE DETERMINATION USING POSTERIOR PREDICTIVE DISTRIBUTIONS (2016) (8)
MODEL-BASED ANALYSIS TO IMPROVE THE PERFORMANCE OF ITERATIVE SIMULATIONS (2002) (8)
Causal Inference in Prospective and Retrospective Studies. (1980) (7)
SOME APPLICATIONS OF MULTILEVEL MODELS TO EDUCATIONAL DATA11This paper is a modification of “Some applications of Bayesian models to educational data,” which appeared in The Statistician, 32, 1983. (1989) (7)
Diagnosing missing always at random in multivariate data (2017) (7)
Burt's Tables. (1979) (7)
The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches (2016) (7)
Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse (2014) (7)
The Analysis of Transformed Data: Comment (1984) (7)
Expert Report on Multiple Imputation (2005) (7)
Nonignorable Missing‐Data Models (2014) (7)
Multiply-Imputed Synthetic Data: Advice to the Imputer (2017) (7)
Missing Data and Imputation Methods (2011) (7)
Fisher's Exact P-Values for Completely Randomized Experiments (2015) (7)
Assessing the Potential Impact of a Nationwide Class-Based Affirmative Action System (2015) (6)
An Evaluation of Model-Dependent and Probability-Sampling Inferences in Sample Surveys: Comment (1983) (6)
Discussion of “Estimation of Intervention Effects with Noncompliance: Alternative Model Specifications” by Booil Jo (2002) (6)
An application of Bayesian statistics using sampling/importance resampling for a deceptively simple problem in quality control (1991) (6)
Catalytic prior distributions with application to generalized linear models (2020) (6)
Permutation tests for detecting and estimating mixtures in task performance within groups (2002) (6)
Rejoinder to discussions on clustered encouragement designs with individual noncompliance: Bayesian inference with randomization, and application to advance directive forms (2002) (6)
Non-standard conditionally specified models for non-ignorable missing data (2016) (6)
Comparing High Schools with Respect to Student Performance in University (1977) (6)
The Calculation of the Posterior Distribution of the Cell Means in a Two‐Way Unbalanced Manova (1977) (6)
MEASURING THE APPROPRIATENESS OF MULTIPLE‐CHOICE TEST SCORES1,2 (1976) (6)
Conceptual, computational and inferential benefits of the missing data perspective in applied and theoretical statistical problems (2006) (6)
MISSING AT RANDOM - WHAT DOES IT MEAN? (1973) (6)
Control of confounding through secondary samples (2006) (5)
Converting rejections into positive stimuli (2014) (5)
Example of computation in R and Bugs (5)
Matched Sampling for Causal Effects: Estimating Causal Effects from Large Data Sets Using Propensity Scores (2006) (5)
Dorfman's data analysis. (1979) (5)
The practical importance of understanding placebo effects and their role when approving drugs and recommending doses for medical practice (2019) (5)
Three contributions to statistical computing (2005) (5)
Assessing Overlap in Covariate Distributions (2015) (5)
Underlying Bayesian Theory (2008) (5)
On optimal re-randomization designs (2019) (5)
24 Statistical Inference for Causal Effects, with Emphasis on Applications in Psychometrics and Education (2006) (5)
Evaluating the Validity of Post-Hoc Subgroup Inferences: A Case Study (2016) (5)
Evaluating, comparing, and expanding models (2013) (5)
Bayesian Break-Point Forecasting in Parallel Time Series, with Application to University Admissions (1987) (5)
Comparing Within- and Between-Subjects Studies (1980) (5)
Algorithm AS 120: A Fortran Algorithm for the Additive Model in a Two-Way Unbalanced Manova (1978) (5)
Basics of Markov chain simulation (2013) (5)
More on Computational Accuracy in Regression: Comment (1977) (4)
Evaluating the e ff ect of training on wages in the presence of noncompliance (2009) (4)
On Variance Estimation With Imputed Survey Data: Rejoinder (1996) (4)
The importance of mentors (2014) (4)
Disentangling Treatment and Placebo Effects in Randomized Experiments Using Principal Stratification—An Introduction (2017) (4)
Causal Inference for Statistics, Social, and Biomedical Sciences: Causality: The Basic Framework (2015) (4)
A REPRESENTATION FOR THE REGRESSION COEFFICIENTS IN WEIGHTED LEAST SQUARES (1978) (4)
Simulation Modeling for Cost Estimation (2000) (4)
Matched Sampling for Causal Effects: Bias Reduction Using Mahalanobis-Metric Matching (2006) (4)
Heterogeneous ozone effects on the DNA methylome of bronchial cells observed in a crossover study (2020) (4)
Models for robust inference (1995) (4)
Design and Modeling in Conjoint Analysis with Partial Profiles (2004) (4)
Estimation of Imputation Uncertainty (2014) (4)
Rejoinder to Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with (2006) (4)
Subclassification on the Propensity Score (2015) (4)
Matched Sampling for Causal Effects: Multivariate Matching Methods That Are Equal Percent Bias Reducing, II: Maximums on Bias Reduction for Fixed Sample Sizes (2006) (3)
A Potential Outcomes, and Typically More Powerful, Alternative to 'Cochran-Mantel-Haenszel' (2012) (3)
Using Empirical Bayes Techniques in the Law School Validity Studies: Rejoinder (1980) (3)
Imputation and multiple imputation (2009) (3)
Contrast-specific propensity scores (2020) (3)
Probability and inference (2013) (3)
The future of statistics (1993) (3)
NONITERATIVE LEAST SQUARES ESTIMATES, STANDARD ERRORS, AND F-TESTS FOR ANY ANALYSIS OF VARIANCE WITH MISSING DATA (1974) (3)
Multiple Imputation for Data-Base Construction (1988) (3)
The broad role of multiple imputation in statistical science (2000) (3)
Imputation strategies for estimating the undercount (1988) (3)
Principal Strati cation Approach to Broken Randomized Experiments: A Case Study of School Choice Vouchers in New York City (2003) (3)
Performance Assessment and League Tables: Comparing Like with Like (2007) (3)
Fitting Additive Models to Unbalanced Two-Way Data (1981) (3)
PCA Rerandomization (2021) (3)
Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions (2003) (3)
Enhanced Tipping-Point Displays (2012) (3)
Pseudo-Opinion Polls: SLOP or Useful Data?: Statistical Cryptic (1995) (2)
A VARIATIONAL CONTROL VARIABLE FOR ASSESSING THE CONVERGENCE OF THE GIBBS SAMPLER (2022) (2)
A Bayesian Perspective on the Analysis of Unreplicated Factorial Designs Using Potential Outcomes (2014) (2)
How big was the effect? (1993) (2)
[Delayed effects of prenatal exposure to phenobarbital on intelligence--Phenemal]. (1996) (2)
Bayesian Data Analysis.@@@Bayes and Empirical Bayes Methods for Data Analysis. (1997) (2)
Dealing with noncompliance and missing outcomes in a randomized trial using Bayesian technology: Prevention of perinatal sepsis clinical trial, Soweto, South Africa (2010) (2)
Stratified Randomized Experiments (2015) (2)
Interpersonal expectations: Statistical tools for meta-analysis: From straightforward to esoteric (1993) (2)
Instrumental Variables Analysis of Randomized Experiments with One-Sided Noncompliance (2015) (2)
Clinical trials in psychiatry : should protocol deviation censor patient data ? a comment (1992) (2)
Comment: EM for PET (1985) (2)
C. R. Rao's century (2020) (2)
Bayesianly Justifiable and Relevant Frequency Calculations for the Applies Statistician Author(s) (2007) (2)
Contrasts and Effect Sizes in Behavioral Research: Basic Procedures for Two Groups (1999) (2)
A Statistical Model for Positron Emission Tomography: Comment (1985) (2)
Fisher, Neyman, and Bayes at FDA (2016) (2)
Propensity Scores in the Design of Observational Studies for Causal Effects (2022) (2)
Incomplete Data in Epidemiology and Medical Statistics (2019) (2)
In Utero Exposure to Phenobarbitol and Intelligence Deficits in Adult Men (1996) (2)
Mixed Normal and Non‐Normal Data with Missing Values, Ignoring the Missing‐Data Mechanism (2014) (2)
Author's Reply (2)
Potential updates to Cornfield's 1959 ‘Principles of Research’ (2012) (2)
Computationally efficient Markov chain simulation (2013) (2)
Imputing Income in the CPS: Comments on 'What Do We Know about Wages: The Importance of Non-Reporting and Census Imputation' by Lillard, Smith and Welch. (1982) (2)
Working Memory Impairments in Schizophrenia Patients: A Bayesian Bivariate IRT Analysis (2002) (2)
Causal Inference for Statistics, Social, and Biomedical Sciences: Instrumental Variables Analysis of Randomized Experiments with Two-Sided Noncompliance (2015) (2)
Bugs, Lacunae, and the Minnesota/DC Effect—A Discussion of H. Wainer’s “Eelworms, Bullet Holes, and Geraldine Ferraro” (1989) (2)
Book Reviews (2014) (2)
Research Designs and Causal Inferences: On Lord’s Paradox (1986) (2)
Missing at Random: What Does it Mean? Draft. (1973) (1)
Inference for General Causal Estimands (2015) (1)
Factored Likelihood Methods, Ignoring the Missing‐Data Mechanism (2014) (1)
Large-sample inference and frequency properties of Bayesian inference (1995) (1)
SELECTING THE “BEST” REGRESSION WHEN FACED WITH MISSING OBSERVATIONS (1975) (1)
Visual Revelations: Causal Inference and Death (2015) (1)
Graphical Methods for Assessing Logistic Regression Models: Comment (1984) (1)
RERANDOMIZATION TO IMPROVE COVARIATE BALANCE IN EXPERIMENTS1 BY KARI (2012) (1)
RERANDOMIZATION TO IMPROVE COVARIATE BALANCE IN EXPERIMENTS1 BY KARI (2012) (1)
Causal Inference in Rebuilding and Extending the Recondite Bridge between Finite Population Sampling and Experimental Design (2016) (1)
Matched Sampling for Causal Effects: My Introduction to Matched Sampling (2006) (1)
Incomplete Data - Encyclopedia Entry. (1982) (1)
Causality in Experiments and Observational Studies (2015) (1)
Modeling monotone nonlinear disease progression and checking the correctness of the associated software (2004) (1)
Statistical Inference for Causal Effects in Clinical Psychology (2020) (1)
On Advice for Beginners in Statistical Research (2004) (1)
Estimating adjusted risk differences by multiply‐imputing missing control binary potential outcomes following propensity score‐matching (2021) (1)
DEALING WITH MULTIVARIATE OUTCOMES IN STUDIES FOR CAUSAL EFFECTS (2007) (1)
Contrasts and Effect Sizes in Behavioral Research: Basic Concepts of Focused Procedures (1999) (1)
Catalytic Priors: Using Synthetic Data to Specify Prior Distributions in Bayesian Analysis (2022) (1)
THE ASSESSMENT OF A TREATMENT EFFECT WHEN A COVARIATE IS OBSERVED ON A SUBSET OF THE UNITS: I. SIMPLE ESTIMATORS (1974) (1)
Models for Partially Classified Contingency Tables, Ignoring the Missing‐Data Mechanism (2014) (1)
Multivariate Normal Examples, Ignoring the Missing‐Data Mechanism (2014) (1)
Matching to Improve Balance in Covariate Distributions (2015) (1)
Imputation (2021) (1)
Contrasts and Effect Sizes in Behavioral Research: Contrasts in Repeated Measures (1999) (1)
High-dimensional randomization-based inference capitalizing on classical design and modern computing (2022) (1)
Asymptotics and connections to non-Bayesian approaches (2013) (1)
The importance of having a conceptual stage when reporting non-randomized studies (2021) (1)
Pairwise Randomized Experiments (2015) (1)
Unconfounded Treatment Assignment (2015) (1)
Supplement to “ Comments on the Neyman-Fisher Controversy and its Consequences ” (2013) (1)
Improving Covariate Balance in 2^K Factorial Designs via Rerandomization (2015) (1)
Statistical Data, Missing (2001) (1)
A NOTE ON A SIMPLE PROBLEM IN INFERENCE (1975) (1)
Bayesian Analysis of a Two-Group Randomized Encouragement Design (2011) (1)
Regression Methods for Completely Randomized Experiments (2015) (1)
Sensitivity of Bayes Inference with Ignorable but Data-Dependent Stopping Rules. (1982) (0)
On Lord's Paradox. Program Statistics Research. (1982) (0)
Case Study: An Experimental Evaluation of a Labor Market Program (2015) (0)
Matched Sampling for Causal Effects: THE EARLY YEARS AND THE INFLUENCE OF WILLIAM G. COCHRAN (2006) (0)
Enhanced TippingPoint Displays (2012) (0)
Modeling and simulation in the drug approval process (1998) (0)
REGULAR ASSIGNMENT MECHANISMS: ANALYSIS (2015) (0)
Balanced Subclassification in Observational Studies Using the Propensity Score: A Case Study. (1983) (0)
Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism (2022) (0)
Randomization‐Based Evaluations (2008) (0)
AN ALGORITHM FOR THE POSTERIOR DISTRIBUTION OF THE CELL MEANS IN A TWO‐WAY UNBALANCED MANOVA (1974) (0)
The role of race in the stereotyping of a speaker ’ s accent as native or non-native (2019) (0)
One-Way Contrast Analyses (1999) (0)
High-Dimensional Randomized Crossover Studies: A Clarification Of P-Values Interpretation (2015) (0)
“Comment on the Shigemasu’s article - Sage Statisticians in Social Sciences: Impact of Rubin’s Work” (2022) (0)
Transporting established insights from classical experimental design, implemented using methods that rely on modern computing to address causal questions in environmental epidemiology (2016) (0)
Matched Sampling for Causal Effects: FUNDAMENTALS OF PROPENSITY SCORE MATCHING (2006) (0)
Symposium on Causality 2006 - Session 3 (2006) (0)
CLASSICAL RANDOMIZED EXPERIMENTS (2015) (0)
SOME APPLIED CONTRIBUTIONS (2006) (0)
Theory of Inference Based on the Likelihood Function (2014) (0)
Is J 6 reskog ' s Original Solution the Only Local Maximum and How Do We Know ? (0)
Overview of computation (1995) (0)
Modeling schizophrenic behavior and testing drug efficacy using general mixture components (1998) (0)
Iteratively Reweighted Least Squares - Encyclopedia Entry. (1982) (0)
The practical importance of understanding placebo effects and their role when approving drugs and recommending doses for medical practice (2019) (0)
Elizabeth Stuart & Donald Rubin - Estimating causal effects using matching with multiple control groups (2004) (0)
Correction for Huang et al., Catalytic prior distributions with application to generalized linear models (2020) (0)
Coordinating Editor and Applications Editor (1978) (0)
On Stephen E. Fienberg as a discussant and a friend (2018) (0)
Causal effects of extreme hot days on mortality in US cities (2015) (0)
Reply to Discussion (2004) (0)
Rejoinder. Complex Causal Questions Require Careful Model Formulation: Discussion of Rubin on Experiments wit "Censoring" Due to Death. (2006) (0)
Modeling accounting for data collection (2013) (0)
Comment: Self-Experimentation for Causal Effects (2001) (0)
Rubin, D. B. (2005), Causal Inference Using Potential Outcomes : Design, Modeling, Decisions, Journal Of The American Statistical Association, 100, 322-331: Comment by Wong and Reply (2008) (0)
DUE TO DEATH AND TO STUDIES OF THE EFFECT OF JOB-TRAINING PROGRAMS ON WAGES (2005) (0)
Matched Sampling for Causal Effects: UNIVARIATE MATCHING METHODS AND THE DANGERS OF REGRESSION ADJUSTMENT (2006) (0)
2 Role of missing data in the pivotal trial (2006) (0)
Matched Sampling for Causal Effects: Multivariate Matching Methods That Are Equal Percent Bias Reducing, I: Some Examples (2006) (0)
Rejoinder: Principal Stratification and Missing Inputs (2007) (0)
A Powerful, Potential Outcomes Method for Estimating Any Estimand across Multiple Groups. (2013) (0)
Rejoinder (2007) (0)
Comparison of Mortality Rates for Three Smoking Groups in Three Databases * (2009) (0)
Wiley Series in Probability and Statistics (2002) (0)
In Memory of Professor Susanne Rässler (2019) (0)
A METHOD FOR FORMALIZING SUBJECTIVE NOTIONS ABOUT THE EFFECT OF NON‐RESPONDENTS IN SAMPLE SURVEYS (1975) (0)
Estimating the Propensity Score (2015) (0)
Matched Sampling for Causal Effects: SOME FOCUSED APPLICATIONS (2006) (0)
Hierarchical linear models (1995) (0)
A Single Series fromtheGibbs Sampler Provides a False Sense ofSecurity (1992) (0)
Finite mixture models (2013) (0)
Studies Teaching Statistical Inference for Causal Effects in Experiments and Observational (2012) (0)
Comment (2000) (0)
Connections and challenges (1995) (0)
Contrasts and Effect Sizes in Behavioral Research: References (1999) (0)
Dorfman's Data Analysis (1979) (0)
Donald Rubin - Basic Concepts of Statistical Inference for Causal Effects in Experiments and Observational Studies (2004) (0)
Rejoinder : on the duality of missing data and causal effects (2007) (0)
Introduction to Bayesian computation (2013) (0)
Matched Sampling for Causal Effects: BASIC THEORY OF MULTIVARIATE MATCHING (2006) (0)
Matched Sampling for Causal Effects: References (2006) (0)
Valid randomization‐based p‐values for partially post hoc subgroup analyses (2015) (0)
A Brief History of the Potential Outcomes Approach to Causal Inference (2015) (0)
Matched Sampling for Causal Effects: Conclusion: Advice to the Investigator (2006) (0)
A Classification of Assignment Mechanisms (2015) (0)
A direct likelihood approach to principal stratification analysis (2013) (0)
Causality Beyond Instrumental Variables (1995) (0)
Causality Regularity Models of Causation (0)
Contribution to the discussion of Scharfstein em et al (1999) (0)
Contrasts and Effect Sizes in Behavioral Research: List of Equations (1999) (0)
Large‐Sample Inference Based on Maximum Likelihood Estimates (2014) (0)
Conclusions and Extensions (2015) (0)
Model-Based Analysis in Instrumental Variable Settings: Randomized Experiments with Two-Sided Noncompliance (2015) (0)
Matched Sampling for Causal Effects: AFFINELY INVARIANT MATCHING METHODS WITH ELLIPSOIDALLY SYMMETRIC DISTRIBUTIONS, THEORY AND METHODOLOGY (2006) (0)
A Bayesian Approach to Reducing Heterogeneity in Laboratory Measures: An Illustration from Schizophrenia Research (2002) (0)
Model-Based Inference for Completely Randomized Experiments (2015) (0)
Discussion (2008) (0)
Bayesian Criterion for Re-randomization (2023) (0)
Modal and distributional approximations (2013) (0)
Models for missing data (2013) (0)
Use of Multiple Imputation Models in Medical Device Trials (2006) (0)
Contrasts and Effect Sizes in Behavioral Research: Contrasts in Factorial Designs (1999) (0)
Symposium on Causality 2008 - Session 9 (2008) (0)
Valid and Informative P-Values from Big Data, Illustrated in Environmental Epigenomics (2018) (0)
Review of the book “ Causal Inference for Statistics , Social , and Biomedical Sciences ” by (2012) (0)
A Taxonomy of Classical Randomized Experiments (2015) (0)
When possible, report exact p-values and display informative Fisherian null randomization distributions (2020) (0)
SMABS 2004 - Rubin Workshop - Basic Concepts of Statistical Inference for Causal Effects in Experiments and Observational Studies (2011) (0)
Rejoinder on Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with ``Censoring'' Due to Death by D. B. Rubin (2006) (0)
Special topics in computation (1995) (0)
Causal Conference Program 2016 Causal Conference Titles and Abstracts Title: Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing Title: One-step Targeted Mle and the Highly Adaptive Lasso (2016) (0)
Introduction to multiparameter models (2013) (0)
Single-parameter models (2013) (0)
Neyman's Repeated Sampling Approach to Completely Randomized Experiments (2015) (0)

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Bayesian Data Analysis