Andrew Gelman | Academic Influence

Andrew Gelman's AcademicInfluence.com Rankings

Andrew Gelman

Mathematics

#432

World Rank

#866

Historical Rank

#196

USA Rank

Statistics

#11

World Rank

#17

Historical Rank

#6

USA Rank

Measure Theory

#18

World Rank

#37

Historical Rank

#7

USA Rank

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Mathematics

Why Is Andrew Gelman Influential?

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According to Wikipedia, Andrew Eric Gelman is an American statistician and professor of statistics and political science at Columbia University. Gelman received bachelor of science degrees in mathematics and in physics from MIT, where he was a National Merit Scholar, in 1986. He then received a master of science in 1987 and a doctor of philosophy in 1990, both in statistics from Harvard University, under the supervision of Donald Rubin.

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Andrew Gelman'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

Inference from Iterative Simulation Using Multiple Sequences (1992) (13247)
Bayesian Data Analysis (1996) (10094)
General methods for monitoring convergence of iterative simulations (1998) (5500)
Generalized Linear Models, 2nd Edn. (1990) (5252)
Data Analysis Using Regression and Multilevel/Hierarchical Models (2006) (5093)
Stan: A Probabilistic Programming Language. (2017) (5044)
Generalized Linear Models (1972) (4140)
Regression Models for Ordinal Data (1980) (3615)
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper) (2004) (3367)
The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo (2011) (3085)
Bayesian data analysis, third edition (2013) (2716)
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC (2015) (2666)
Handbook of Markov Chain Monte Carlo (2011) (2422)
POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES (1996) (2140)
Generalized linear models. 2nd ed. (1993) (1862)
Scaling regression inputs by dividing by two standard deviations (2008) (1841)
Weak convergence and optimal scaling of random walk Metropolis algorithms (1997) (1713)
R2WinBUGS: A Package for Running WinBUGS from R (2005) (1670)
A weakly informative default prior distribution for logistic and other regression models (2008) (1600)
Understanding predictive information criteria for Bayesian models (2013) (1512)
Analysis of Ordinal Categorical Data (1985) (1212)
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs (2014) (1188)
Why We (Usually) Don't Have to Worry About Multiple Comparisons (2009) (1034)
Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling (1998) (1019)
Tensor Methods in Statistics (1987) (912)
The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant (2006) (834)
Quasi-Likelihood Functions (1983) (717)
An Analysis of the New York City Police Department's “Stop-and-Frisk” Policy in the Context of Claims of Racial Bias (2007) (692)
Analysis of variance: Why it is more important than ever? (2005) (685)
Beyond Power Calculations (2014) (659)
Markov Chain Monte Carlo in Practice: A Roundtable Discussion (1998) (646)
Estimating Incumbency Advantage Without Bias (1990) (645)
Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box (2011) (610)
The statistical crisis in science (2014) (610)
Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination (2009) (593)
Abandon Statistical Significance (2017) (581)
Automatic Differentiation Variational Inference (2016) (569)
Increasing Transparency Through a Multiverse Analysis (2016) (561)
Philosophy and the practice of Bayesian statistics. (2010) (545)
Struggles with survey weighting and regression modeling (2007) (510)
Visualization in Bayesian workflow (2017) (479)
Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do (2008) (471)
Multilevel (Hierarchical) Modeling: What It Can and Cannot Do (2006) (466)
Why Are American Presidential Election Campaign Polls So Variable When Votes Are So Predictable? (1993) (447)
The garden of forking paths : Why multiple comparisons can be a problem , even when there is no “ fishing expedition ” or “ p-hacking ” and the research hypothesis was posited ahead of time ∗ (2019) (436)
R-squared for Bayesian Regression Models (2019) (413)
Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls (2004) (398)
Measurement error and the replication crisis (2017) (387)
Partisans without Constraint: Political Polarization and Trends in American Public Opinion. (2008) (369)
Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion) (2019) (366)
Physiological Pharmacokinetic Analysis Using Population Modeling and Informative Prior Distributions (1996) (361)
Bias Correction in Generalized Linear Models (1991) (352)
Partisans without Constraint: Political Polarization and Trends in American Public Opinion1 (2008) (318)
Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization. (2015) (313)
The GLIM System, Release 3: Generalized linear interactive modelling (1979) (312)
A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models (2013) (302)
Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models (2006) (298)
Applied Bayesian Modeling And Causal Inference From Incomplete-Data Perspectives (2005) (298)
Forecasting elections with non-representative polls (2015) (286)
The Prior Can Often Only Be Understood in the Context of the Likelihood (2017) (285)
Estimating the Number of Unseen Species: How Many Words did Shakespeare Know? (2008) (271)
Segregation in Social Networks Based on Acquaintanceship and Trust (2011) (249)
Type S error rates for classical and Bayesian single and multiple comparison procedures (2000) (248)
Bayesian statistics and modelling (2021) (248)
A Unified Method of Evaluating Electoral Systems and Redistricting Plans (1994) (240)
Rich State, Poor State, Red State, Blue State: What's the Matter with Connecticut? (2005) (236)
Inference from Simulations and Monitoring Convergence (2011) (234)
Using Stacking to Average Bayesian Predictive Distributions (with Discussion) (2017) (234)
A Simple Method for the Adjustment of Profile Likelihoods (1990) (233)
Global shifts in the phenological synchrony of species interactions over recent decades (2018) (231)
Promotion of well-switching to mitigate the current arsenic crisis in Bangladesh. (2002) (228)
Parameterization and Bayesian Modeling (2004) (228)
A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing * (2003) (227)
Practical Issues in Implementing and Understanding Bayesian Ideal Point Estimation (2005) (226)
Validation of Software for Bayesian Models Using Posterior Quantiles (2006) (223)
Laplace Approximation of High Dimensional Integrals (1995) (219)
Voting as a Rational Choice: Why and How People Vote to Improve the Well-Being of Others (2007) (211)
Enhancing Democracy Through Legislative Redistricting (1994) (209)
Objections to Bayesian statistics (2008) (208)
Automatic Variational Inference in Stan (2015) (208)
How Many People Do You Know in Prison? (2006) (206)
Markov chain Monte Carlo methods in biostatistics (1996) (206)
Diagnostics for multivariate imputations (2007) (202)
Exploratory Data Analysis for Complex Models (2004) (201)
A Connection between Rasch's Item Analysis Model and a Multiplicative Poisson Model (1982) (176)
Statistical Computing and Graphics Let's Practice What We Preach: Turning Tables into Graphs (2002) (172)
A Single Series from the Gibbs Sampler Provides a False Sense of Security * (2008) (167)
P values and statistical practice. (2013) (167)
Monograph on Statistics and Applied Probability (1989) (167)
Splitting a Predictor at the Upper Quarter or Third and the Lower Quarter or Third (2007) (166)
Beautiful Data: The Stories Behind Elegant Data Solutions (2009) (166)
Economic Disparities and Life Satisfaction in European Regions (2010) (162)
A class of parametric models for the analysis of square contingency tables with ordered categories (1978) (160)
Pareto Smoothed Importance Sampling (2015) (159)
Standard Voting Power Indexes Do Not Work: An Empirical Analysis (2002) (158)
Some aspects of analysis of covariance. (1982) (152)
Not Asked and Not Answered: Multiple Imputation for Multiple Surveys (1998) (151)
Validating Bayesian Inference Algorithms with Simulation-Based Calibration (2018) (148)
Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups (2013) (148)
Regression and Other Stories (2020) (146)
All maps of parameter estimates are misleading. (1999) (145)
Beyond subjective and objective in statistics (2015) (143)
An outline of generalized linear models (1983) (141)
Bursts: The Hidden Pattern Behind Everything We Do (2010) (136)
Multivariate Logistic Models (1995) (136)
2. Average Predictive Comparisons for Models with Nonlinearity, Interactions, and Variance Components (2007) (126)
Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data (2005) (125)
What is a statistical model (2002) (125)
Of Beauty, Sex and Power (2009) (125)
A case study on the choice, interpretation and checking of multilevel models for longitudinal binary outcomes. (2001) (123)
CHAPMAN & HALL/CRC Texts in Statistical Science Series (2002) (121)
Discussion on the paper by Spiegelhalter, Sherlaw-Johnson, Bardsley, Blunt, Wood and Grigg (2012) (119)
How many clusters (2008) (117)
Efficient implementation of leave-one-out cross-validation and WAIC for evaluating fitted Bayesian models (2015) (115)
Partition models (2015) (112)
Diagnostic checks for discrete data regression models using posterior predictive simulations (2000) (111)
The Connection Between Varying Treatment Effects and the Crisis of Unreplicable Research (2015) (111)
Estimating the Probability of Events that Have Never Occured: When is Your Vote Decisive? (1998) (109)
Adaptively Scaling the Metropolis Algorithm Using Expected Squared Jumped Distance (2007) (109)
Data-dependent analysis—a "garden of forking paths"— explains why many statistically significant comparisons don't hold up. (2014) (108)
Models, assumptions and model checking in ecological regressions (2001) (108)
Analysis of Variance Models in Orthogonal Designs (1984) (107)
State-Level Opinions from National Surveys: Poststratification using Multilevel Logistic Regression (2009) (107)
Walking to school and traffic exposure in Australian children (1977) (106)
The Mathematics and Statistics of Voting Power (2002) (105)
Estimating the Electoral Consequences of Legislative Redistricting (1990) (105)
Systematic Consequences of Incumbency Advantage in the U.S. House Elections (1991) (103)
Yes, but Did It Work?: Evaluating Variational Inference (2018) (102)
A theory of statistical models for Monte Carlo integration (2003) (101)
Characterizing a joint probability distribution by conditionals (1993) (101)
Two simple examples for understanding posterior p-values whose distributions are far from uniform (2013) (101)
Why Ask Why? Forward Causal Inference and Reverse Causal Questions (2013) (101)
The Conditional Distribution of Goodness-of-Fit Statistics for Discrete Data (1986) (100)
Bayesian analysis of tests with unknown specificity and sensitivity (2020) (99)
Fitting Multilevel Models When Predictors and Group Effects Correlate (2007) (99)
ON THE STATIONARY DISTRIBUTION OF ITERATIVE IMPUTATIONS (2010) (99)
The statistical significance filter leads to overoptimistic expectations of replicability (2018) (97)
Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in stan. (2019) (97)
Community prevalence of SARS-CoV-2 in England from April to November, 2020: results from the ONS Coronavirus Infection Survey (2020) (96)
Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models (2015) (95)
Population toxicokinetics of tetrachloroethylene (1996) (92)
What is the Probability Your Vote Will Make a Difference? (2009) (89)
Stan (2015) (87)
The Mythical Swing Voter (2014) (83)
DISCUSSION ON THE MEETING ON THE GIBBS SAMPLER AND OTHER MARKOV CHAIN-MONTE CARLO METHODS (1993) (82)
The Failure of Null Hypothesis Significance Testing When Studying Incremental Changes, and What to Do About It (2018) (82)
A Bayesian approach to the selection and testing of mixture models (2003) (82)
Bayesian prediction of mean indoor radon concentrations for Minnesota counties. (1996) (81)
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence Rank-Normalization, Folding, and Localization: An Improved (cid:2) R for Assessing Convergence of MCMC An assessing for assessing An improved (cid:2) R for assessing convergence of MCMC (2020) (81)
Assessing the Implementation and Effects of a Trauma-Focused Intervention for Youths in Residential Treatment (2004) (79)
Case studies in binary dispersion. (1993) (78)
Using Redundant Parameterizations to Fit Hierarchical Models (2008) (76)
Bayesian Workflow. (2020) (75)
On the asymptotic distribution of pearson's statistic in linear exponential-family models (1985) (74)
Poststratification and Weighting Adjustments (2000) (74)
Some Issues in Monitoring Convergence of Iterative Simulations (1998) (73)
Multiple Imputation for Continuous and Categorical Data: Comparing Joint Multivariate Normal and Conditional Approaches (2014) (73)
Invariants and likelihood ratio statistics (1986) (71)
Möbius transformation and Cauchy parameter estimation (1996) (70)
A Note on Bivariate Distributions That are Conditionally Normal (1991) (70)
THE POLLS-A REVIEW PREELECTION SURVEY METHODOLOGY: DETAILS FROM EIGHT POLLING ORGANIZATIONS, 1988 AND 1992 (1995) (70)
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data (2014) (70)
Five ways to fix statistics (2017) (69)
Efficient Leave-One-Out Cross-Validation and WAIC for BayesianModels (2015) (69)
A consensus-based transparency checklist (2019) (69)
Causality and Statistical Learning1 (2010) (69)
Reliability of a commercial kit to test groundwater for arsenic in Bangladesh. (2005) (68)
REML Estimation with Exact Covariance in the Logistic Mixed Model (1993) (67)
Quasi‐Likelihood Functions (2006) (67)
Infovis and Statistical Graphics: Different Goals, Different Looks (2013) (67)
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC (2016) (67)
Income Inequality and Partisan Voting in the United States (2010) (66)
Tensor notation and cumulants of polynomials (1984) (66)
Sampling for Bayesian Computation with Large Datasets (2005) (66)
Large-Scale Replication Projects in Contemporary Psychological Research (2017) (65)
Data Analysis Using Regression and Multilevel/Hierarchical Models: Missing-data imputation (2006) (64)
Bayesian Nonparametric Weighted Sampling Inference (2013) (63)
Community prevalence of SARS-CoV-2 in England during April to September 2020: Results from the ONS Coronavirus Infection Survey (2020) (63)
Avoiding Model Selection in Bayesian Social Research (1995) (62)
Estimating Incumbency Advantage and Its Variation, as an Example of a Before–After Study (2008) (61)
The permanental process (2006) (61)
Some Natural Solutions to the p-Value Communication Problem—and Why They Won’t Work (2017) (60)
Bayesian Checking of the Second Levels of Hierarchical Models. Comment.. (2007) (59)
Probability based on Radon measures (1982) (56)
Don't Calculate Post-hoc Power Using Observed Estimate of Effect Size. (2018) (54)
Disentangling Bias and Variance in Election Polls (2018) (54)
Multiple-bias modelling for analysis of observational data - Discussion (2005) (52)
Age-aggregation bias in mortality trends (2015) (52)
Analysis of Local Decisions Using Hierarchical Modeling, Applied to Home Radon Measurement and Remediation (1999) (52)
Cumulants and Partition Lattices (2012) (52)
Edgeworth Series for Lattice Distributions (1990) (50)
The Millennium Villages Project: a retrospective, observational, endline evaluation. (2018) (50)
Potential functions and conservative estimating functions (1994) (50)
Bayesian Analysis of Serial Dilution Assays (2004) (49)
Conditional inference and Cauchy models (1992) (48)
A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data (2015) (48)
Nonlinear Regression, Quasi Likelihood, and Overdispersion in Generalized Linear Models (1998) (47)
Two-Stage Regression and Multilevel Modeling: A Commentary (2005) (46)
Exploring the Relationships Between USMLE Performance and Disciplinary Action in Practice: A Validity Study of Score Inferences From a Licensure Examination (2017) (46)
Bayesian Combination of State Polls and Election Forecasts (2010) (46)
Many perspectives on Deborah Mayo's "Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars" (2019) (46)
Gibbs fragmentation trees (2007) (46)
A broken system: the persistent patterns of reversals of death sentences in the United States (2004) (46)
Correlations and Multiple Comparisons in Functional Imaging: A Statistical Perspective (Commentary on Vul et al., 2009) (2009) (45)
Of beauty, sex, and power: Statistical challenges in estimating small eects (2008) (44)
Bayes, Jeffreys, Prior Distributions and the Philosophy of Statistics (2009) (44)
The Boxer, the Wrestler, and the Coin Flip (2006) (44)
Visualizing Distributions of Covariance Matrices ∗ (2011) (44)
A Practical Guide to Measuring Social Structure Using Indirectly Observed Network Data (2013) (44)
Optimal design for a study of butadiene toxicokinetics in humans. (1999) (44)
Let's Practice What We Preach (2002) (43)
The Great Society, Reagan's Revolution, and Generations of Presidential Voting (2022) (42)
Are confidence intervals better termed “uncertainty intervals”? (2019) (42)
Stochastic classification models (2006) (42)
Of Beauty , Sex and Power Too little attention has been paid to the statistical challenges in estimating small effects (42)
Bayesian Model-Building By Pure Thought: Some Principles and Examples (1994) (42)
Evidence on the deleterious impact of sustained use of polynomial regression on causal inference (2015) (41)
Measuring social distance using indirectly observed network data (2010) (40)
You Can Load a Die, But You Can't Bias a Coin (2002) (40)
Limitations of “Limitations of Bayesian Leave-one-out Cross-Validation for Model Selection” (2018) (39)
Causality and Statistical Learning (2010) (39)
Conditional probability distributions (1975) (39)
Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models [R package loo version 2.4.1] (2020) (39)
[Regression Models for Discrete Longitudinal Responses]: Comment (1993) (39)
An Analysis of the NYPD's Stop-and-Frisk Policy in the Context of Claims of Racial Bias (2006) (39)
Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC (2017) (39)
Some Statistical Properties of a Family of Continuous Univariate Distributions (1989) (38)
A method for estimating design-based sampling variances for surveys with weighting, poststratification, and (2003) (38)
Resampling and exchangeable arrays (2000) (38)
Why Tables Are Really Much Better Than Graphs (2011) (37)
A method for quantifying artefacts in mapping methods illustrated by application to headbanging. (2000) (36)
Induction and Deduction in Baysian Data Analysis (2011) (36)
Exponential mixtures and quadratic exponential families (1994) (36)
Some applications of quasisymmetry (1982) (35)
Method of Moments Using Monte Carlo Simulation (1995) (35)
Regression Modeling and Meta-Analysis for Decision Making (2003) (35)
Discussion: Difficulties in making inferences about scientific truth from distributions of published p-values. (2014) (35)
Public Opinion on Health Care Reform (2010) (35)
On the Elimination of Nuisance Parameters in the Proportional Odds Model (1984) (35)
Hierarchical models for estimating state and demographic trends in US death penalty public opinion (2015) (34)
Letter to the editors regarding some papers of Dr. Satoshi Kanazawa. (2007) (34)
Iterative and Non-iterative Simulation Algorithms (2006) (33)
Discussion points for Bayesian inference (2020) (33)
A Bayesian bird's eye view of ‘Replications of important results in social psychology’ (2017) (33)
Rates and Correlates of HIV and STI Infection Among Homeless Women (2013) (32)
Direct Data Manipulation for Local Decision Analysis as Applied to the Problem of Arsenic in Drinking Water from Tube Wells in Bangladesh (2004) (32)
Simulation-efficient shortest probability intervals (2013) (32)
Applied regression and multilevel/hierarchical models (2006) (32)
Bayesian statistics and modelling (2021) (32)
Multiple Perspectives on Inference for Two Simple Statistical Scenarios (2018) (31)
Evidence for conformal invariance of crop yields (2006) (31)
When Do Stories Work? Evidence and Illustration in the Social Sciences (2014) (30)
Community prevalence of SARS-CoV-2 in England: Results from the ONS Coronavirus Infection Survey Pilot (2020) (30)
Probabilistic feature analysis of facial perception of emotions (2005) (30)
Targeting Low-arsenic Groundwater with Mobile-phone Technology in Araihazar, Bangladesh (2006) (30)
Five ways to fix statistics. (2017) (29)
MARGINAL LIKELIHOOD FOR DISTANCE MATRICES (2009) (29)
Hierarchical Models for Causal Effects (2015) (29)
Expectation Propagation as a Way of Life (2020) (29)
A Default Prior Distribution for Logistic and Other Regression Models (2007) (28)
Data Analysis Using Regression and Multilevel/Hierarchical Models: Multilevel structures (2006) (28)
Teaching Statistics: A Bag of Tricks (2002) (28)
Diculty of selecting among multilevel models using predictive accuracy (2015) (28)
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors (2020) (27)
The statistical crisis in science: how is it relevant to clinical neuropsychology? (2017) (27)
19 Things We Learned from the 2016 Election (2017) (27)
“Not Only Defended But Also Applied”: The Perceived Absurdity of Bayesian Inference (2010) (26)
Bayesian Statistics Then and Now (2010) (26)
Corrigendum: Characterizing a joint probability distribution by conditionals (1999) (26)
Working through some issues (2015) (25)
$k$-Statistics and Dispersion Effects in Regression (1987) (25)
Revised evidence for statistical standards (2014) (25)
Improving multilevel regression and poststratification with structured priors. (2019) (25)
Output Assessment for Monte Carlo Simulations via the Score Statistic (2006) (25)
The prior can generally only be understood in the context of the likelihood (2017) (24)
Sampling bias and logistic models (2008) (24)
Childhood obesity intervention studies: A narrative review and guide for investigators, authors, editors, reviewers, journalists, and readers to guard against exaggerated effectiveness claims (2019) (24)
Data Analysis Using Regression and Multilevel/Hierarchical Models: Multilevel linear models: the basics (2006) (24)
Poststratification Without Population Level Information on the Poststratifying Variable With Application to Political Polling (2001) (24)
What are the Most Important Statistical Ideas of the Past 50 Years? (2020) (23)
Predicting and Dissecting the Seats-Votes Curve in the 2006 U.S. House Election (2008) (23)
Comment: Bayesian Checking of the Second Levels of Hierarchical Models (2007) (23)
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample. (2019) (23)
Fast hierarchical Gaussian processes (2015) (22)
Incorporating the sampling design in weighting adjustments for panel attrition (2015) (22)
Does the Moment-Generating Function Characterize a Distribution? (1994) (22)
Manipulating and summarizing posterior simulations using random variable objects (2007) (21)
Empirically Evaluating the Electoral College (2002) (21)
Rejoinder: Struggles with survey weighting and regression modeling (2007) (21)
Philosophy and the Practice of Bayesian Statistics in the Social Sciences (2012) (21)
Treatment Effects in Before‐After Data (2005) (21)
Bayesian hierarchical weighting adjustment and survey inference (2017) (21)
A Course on Teaching Statistics at the University Level (2005) (20)
Ethics and Statistics: The AAA Tranche of Subprime Science (2014) (19)
Evaluating and Using Statistical Methods in the Social Sciences (1999) (19)
Preregistration of Studies and Mock Reports (2013) (19)
Proportional‐Odds Model (2005) (19)
Evaluating Standards for Protecting Aquatic Life in Washington ' s Surface Water Quality Standards Temperature Criteria Draft Discussion Paper and Literature Summary (2000) (19)
How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysis (2019) (19)
Permutations and Regression Models (1993) (18)
The Precision of Positron Emission Tomography: Theory and Measurement (1991) (18)
Bayesian inference under cluster sampling with probability proportional to size (2017) (18)
Accounting for uncertainty during a pandemic (2020) (18)
No reason to expect large and consistent effects of nudge interventions (2022) (18)
JudgeIt II: A Program for Evaluating Electoral Systems and Redistricting Plans (1992) (18)
Bayesian Inference with Probability Matrix Decomposition Models (2001) (18)
Variance, Analysis of (2010) (18)
Avoiding Boundary Estimates in Linear Mixed Models Through Weakly Informative Priors (2012) (17)
Polls and Elections Understanding Persuasion and Activation in Presidential Campaigns: The Random Walk and Mean Reversion Models (2012) (17)
Bridges between Deterministic and Probabilistic Models for Binary Data (2000) (17)
Block Designs and Electrical Networks (1991) (17)
Type M Error Might Explain Weisburd’s Paradox (2020) (17)
Ethics and Statistics: Honesty and Transparency Are Not Enough (2017) (17)
A Probability Model for Golf Putting (2002) (17)
Weighted Classical Variogram Estimation for Data With Clustering (2007) (16)
Invariance and factorial models (2000) (16)
Voter Registration Databases and MRP: Toward the Use of Large-Scale Databases in Public Opinion Research (2020) (16)
Stochastic classiﬁcation models (2007) (16)
Models for polytomous data (2019) (16)
Information, incentives, and goals in election forecasts (2020) (16)
Interrogating p-values (2013) (16)
The statistical significance filter leads to overconfident expectations of replicability (2017) (15)
A simple explanation for declining temperature sensitivity with warming (2021) (15)
Comment: Fuzzy and Bayesian p-Values and u-Values (2005) (15)
Improve the Well-Being of Others Voting as a Rational Choice: Why and How People Vote To (2007) (15)
A NEW UPPER BOUND FOR THE EFFICIENCY FACTOR OF A BLOCK DESIGN (1990) (15)
Analysis of ordered categorical data (1977) (15)
Fitting Bayesian item response models in Stata and Stan (2016) (15)
Using Image and Curve Registration for Measuring the Goodness of Fit of Spatial and Temporal Predictions (2004) (15)
Vote for Charity's Sake (2008) (14)
To design interfaces for exploratory data analysis, we need theories of graphical inference (2021) (14)
Inherent difficulties of non-Bayesian likelihood-based inference, as revealed by an examination of a recent book by Aitkin (2010) (14)
An algorithm for optimization of block designs (1993) (14)
Random Permutations and Partition Models (2011) (14)
Bayesian aggregation of average data: An application in drug development (2016) (14)
A statistician's perspective on “Mostly Harmless Econometrics: An Empiricist's Companion”, by Joshua D. Angrist and Jörn-Steffen Pischke (2009) (14)
Models on Spheres and Models for Permutations (1993) (14)
A Biometrics Invited Paper with Discussion . Some Aspects of Analysis of Covariance (2007) (14)
Improving on Probability Weighting for Household Size (1998) (14)
Multilevel (Hierarchical) Modeling (2006) (14)
Some properties of a Cauchy family on the sphere derived from the Möbius transformations (2020) (13)
The Experiment is just as Important as the Likelihood in Understanding the Prior: a Cautionary Note on Robust Cognitive Modeling (2019) (13)
How Bayesian Analysis Cracked the Red-State, Blue-State Problem (2014) (13)
The permanent process (2005) (13)
Exchangeability and regression models (2004) (13)
Holes in Bayesian statistics (2020) (13)
How do we choose our default methods (2014) (12)
Student projects on statistical literacy and the media (1998) (12)
Approximating the a-permanent (2009) (12)
Linear Models, Vector Spaces, and Residual Likelihood (1997) (12)
A note on the relation between modified profile likelihood and the Cox-Reid adjusted profile likelihood (1993) (12)
Statistical sparsity (2017) (12)
Invariance and factorial models. Discussion (2000) (12)
Rejoinder to discussion of 'Philosophy and the practice of Bayesian statistics'. (2013) (12)
Pre-Election Survey Methodology: Details from Nine Polling Organizations, 1988 and 1992 (2008) (12)
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning (2022) (12)
Don't characterize replications as successes or failures (2018) (11)
Gaydar and the Fallacy of Decontextualized Measurement (2018) (11)
A non-degenerate estimator for hierarchical variance parameters via penalized likelihood estimation (2011) (11)
Ethics and Statistics: They'd Rather Be Rigorous Than Right (2013) (11)
Multiple Imputation for Continuous and Categorical Data: Comparing Joint and Conditional Approaches (2013) (11)
Survival models and health sequences (2013) (11)
Transformed and parameter-expanded Gibbs samplers for multilevel linear and generalized linear models (2007) (11)
An Updated Dynamic Bayesian Forecasting Model for the US Presidential Election (2020) (11)
Data Analysis Using Regression and Multilevel/Hierarchical Models: Sample size and power calculations (2006) (11)
The New York City Puerto Rican Asthma Project: Study Design, Methods, and Baseline Results (2008) (11)
Visualization in Bayesian Data Analysis (2008) (11)
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Stents : An exploration of design , measurement , analysis , and reporting in clinical research (2017) (0)
Chapter 5-Multiple Comparisons of Means 5 . 1 Inflation of Type I Error Rate (2018) (0)
ON BAYES' THEOREM FOR IMPROPER MIXTURES 1 (2011) (0)
Interrogatingp-values I (2013) (0)
The Political Impact of Social Penumbras (2015) (0)
AFTERWORD. The 2008 Election (2009) (0)
Early Interactions With David Cox (2023) (0)
Editorial (2007) (0)
Measuring a Fair Cross-Section of Jury Composition: A Case Study of the Southern District of New York (2008) (0)
Discussion points for Bayesian inference (2020) (0)
Centralized Analysis of Local Data, with Dollars and Lives on the Line: Lessons from the Home Radon Experience (2014) (0)
Models with additional non-linear parameters (2019) (0)
Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC (2016) (0)
Introduction to multiparameter models (2013) (0)
Special topics in computation (1995) (0)
Survival models with health monitoring (2013) (0)
Components of dispersion (1989) (0)
A Quantitative Tour of the Social Sciences: Econometric Forecasting and the Flow of Information (2009) (0)
Comment (2004) (0)
Survey weighting and regression modeling (2015) (0)
Exceedance as a measure of sparsity (2017) (0)
NATURAL STATISTICS FOR SPECTRAL SAMPLES BY E. DI NARDO, (2013) (0)
Exchangeable random hypergraphs (2016) (0)
The Ewens process on spaces of even and balanced partitions (2011) (0)
Pro-Choice and Pro-Democrat ? ∗ Differential Relationships Between Abortion (2010) (0)
Regression Models for Market-Shares (2005) (0)
Case Studies in Bayesian Statistics Vol. VI. Lecture Notes in Statistics 167 (2002) (0)
Some computational and modeling issues for hierarchical models (2009) (0)
BOOK REVIEWS (2008) (0)
A note from John Lott (2015) (0)
Data Analysis Using Regression and Multilevel/Hierarchical Models: Concepts and methods from basic probability and statistics (2006) (0)
Analysis of Ordered Categorised Data. Technical Report No. 62. Revised. (1978) (0)
ST ] 2 8 A ug 2 01 8 Möbius transformation and a Cauchy family on the sphere (2018) (0)
Methodology for Constructing Child Weights for Wave 3-5 Fragile Families and Child Wellbeing Study (2018) (0)
What Do We Know at 7 PM on Election Night? (2010) (0)
Challenges in Incorporating Exploratory Data Analysis into Statistical Workflow (2021) (0)
Solutions to some exercises from Bayesian Data Analysis , first edition by Gelman , Carlin , Stern , and Rubin (2009) (0)
T H E S Ta Tis Tic a L Crisis in S Cien Ce (2014) (0)
Why Did It Take So Many Decades for the Behavioral Sciences to Develop a Sense of Crisis Around Methodology and Replication? (2021) (0)
Discussion: Testing for Independence in a Two-Way Table: New Interpretations of the Chi-Square Statistic (1985) (0)
Protecting Minorities in Binary Elections (2008) (0)
Models for data with constant coefficient of variation (2019) (0)
WEIGHTING FOR HOUSEHOLD SIZE (2016) (0)
A Quantitative Tour of the Social Sciences: References (2009) (0)
Ethics and Statistics: The War on Data (2013) (0)
Table of Contents (2003) (0)
Response to discussants of “survival models and health sequences” (2018) (0)
Modeling accounting for data collection (2013) (0)
Religious Reds and Secular Blues (2009) (0)
Hierarchical Models for Causal Effects 1 (2015) (0)
Cluster processes (2015) (0)
Gaussian Linear Models with Linear Covariance Structure [R package regress version 1.3-21] (2020) (0)
Humility needed in decision-making (2015) (0)
A Snapshot of the 2008 Election (2010) (0)
Reversible Markov structures on divisible set partitions (2011) (0)
\Not only defended but also applied": A look back at Feller's take on Bayesian inference (2010) (0)
Ethics and Statistics: The Commissar for Traffic Presents the Latest Five-Year Plan (2014) (0)
Who Needs Data ? Restricting Image Models by Pure Thought (2008) (0)
Why Acknowledging Uncertainty Can Make You a Better Scientist (2017) (0)
Making the most of imprecise measurements: Changing patterns of arsenic concentrations in shallow wells of Bangladesh from laboratory and field data (2021) (0)
Permanental Graphs (2020) (0)
Data Analysis Using Regression and Multilevel/Hierarchical Models: Debugging and speeding convergence (2006) (0)
Models for missing data (2013) (0)
C++ Header Files for Stan (2016) (0)
Charles Murray’s Coming Apart and the measurement of social and political divisions (2013) (0)
Comment: Consensus Monte Carlo using expectation propagation (2017) (0)
Elementary theory of cumulants (2018) (0)
Statistics in the computer age: personal reflections (2011) (0)
A Quantitative Tour of the Social Sciences: Historical Perspectives on International Exchange Rates (2009) (0)
A Quantitative Tour of the Social Sciences: Models and Theories in Sociology (2009) (0)
Methodology as ideology : the prisoner ’ s dilemma as misapplied to trench warfare (2003) (0)
Finite mixture models (2013) (0)
[FGME 2015] "The Statistical Crisis in Science" (2015) (0)
BISG: When inferring race or ethnicity, does it matter that people often live near their relatives? (2023) (0)
Sexual Assault and Sexual Harassment in the U.S. Military: Annex to Volume 5. Tabular Results from the 2014 RAND Military Workplace Study for Installation- and Command-Level Risk of Sexual Assault and Sexual Harassment (2018) (0)
Figure 1: the Major Components of the Frm System. 2.1 User Interface: Forman (1999) (0)
Using leave-one-out cross-validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale (2022) (0)
Author Correction: A consensus-based transparency checklist (2019) (0)
Delivering data diﬀerently ∗ (2022) (0)
Variance Components Estimation. P. S. R. S. Rao, Chapman & Hall, U.K. 1997. No. of pages: xvii+199. Price: £42.95. ISBN 0‐412‐72860‐5 (2000) (0)
Mismatch between scientific theories and statistical models (2022) (0)
NEW CAMBRIDGE STATISTICAL TABLES (2nd edn). (1996) (0)
Toward a taxonomy of trust for probabilistic machine learning (2021) (0)
How Should Scientific Journals Handle ‘Big If True’ Submissions? (2022) (0)
Credit Scoring: A Case Study (1999) (0)
Delivering data differently (2022) (0)
Inequality and Voting (2009) (0)
C++ Header Files for Stan [R package StanHeaders version 2.21.0-6] (2020) (0)
How the Talking Heads Can Be So Confused (2009) (0)
Where does Mister P draw the line (2015) (0)
Voting as a Rational Choice - eScholarship (2008) (0)
NO TRUMP ! : A statistical exercise in priming 1 (2016) (0)
Simulation-based optimal design of experiments (2000) (0)
Comment: Assessing Uncertainty in Backprojection (2016) (0)
Rejoinder: How Special was 2016? (2017) (0)
Simulation-efficient shortest probability intervals (2015) (0)
The statistical significance filter leads to overoptimistic expectations of replicability (Vasishth, Mertzen, Jäger, Gelman, 2018) (2018) (0)
COUNTY CSOUTH CGUIDE CUNEMP CBLPCT CCRIME CCONS IBLACK IMALE IACTCJS ITRIAL IREVOKE IDETAIN IPPRIS ICDRUG ICPROP (2006) (0)
A Generational Voting Model for Forecasting the 2020 American Presidential Election (2020) (0)
Signal Detection Theory and Models for Trade-Offs in Decision Making (2009) (0)
Remarks on Groseclose's Left Turn (2011) (0)
Book reviews, Spring 2013 . Special issue on George Casella's books (2012) (0)
When the counterintuitive becomes the norm, arguments get twisted out of shape (2015) (0)
Discussion Paper Series An Experimental Study of Storable Votes (2003) (0)
ORBITA : A case study in the analysis and reporting of clinical trials (2018) (0)
Online appendix to “ The 2008 election : A preregistered replication analysis ” (2016) (0)
Data Analysis Using Regression and Multilevel/Hierarchical Models: Linear regression: the basics (2006) (0)
Press 978-1107-02398-7 — Regression and Other Stories (0)
Comments on ‘The BUGS project: Evolution, critique and future directions’ (2009) (0)
Migration and Solidarity (2009) (0)
Class War? What Americans Really Think about Economic Inequalityby Benjamin I. Page and Lawrence R. Jacobs (2010) (0)
Voting by Education in 2008 (2010) (0)
A Quantitative Tour of the Social Sciences: Sources of Historical Data (2009) (0)
Remediation Options for the Arsenic Crisis in Bangladesh: Implications From the Recent Survey of 5000 wells in Araihazar Upazila. (2001) (0)
Author Correction: A consensus-based transparency checklist (2019) (0)
Rejoinder (2004) (0)
Data Analysis Using Regression and Multilevel/Hierarchical Models: Working with regression inferences (2006) (0)
Overview of computation (1995) (0)
1 Accounting for Uncertainty During a Pandemic 1 (2021) (0)
Erratum to: Analysis of hospital quality monitors using hierarchical time series models (1999) (0)
Discussion (1970) (0)
The Potential-Outcomes Model of Causation (2009) (0)
Avoiding Boundary Estimates in Hierarchical Linear Models through Weakly Informative Priors. (2012) (0)
Gelman and King : Estimating the Electoral Consequences of Legislative Redistricting 275 Table 7 (2004) (0)
Reflections on Breiman's Two Cultures of Statistical Modeling (2021) (0)
Model Checking and Model Improvment (chapter for Gilks, Richardson, and Spiegelhalter Book) (2007) (0)
Treatment effects in before-after data 1 (0)
Crimes against data (2016) (0)
A Quantitative Tour of the Social Sciences: Explanations of the Racial Disturbances of the 1960s (2009) (0)
Linear regression with a single predictor (2020) (0)
Rich and Poor Voters (2011) (0)
A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models (2013) (0)
The anti-Bayesian moment and its passing (2012) (0)
and Monitoring Convergence (2011) (0)
A Quantitative Tour of the Social Sciences: Introduction and Overview (2009) (0)
11. State-Level Opinions from National Surveys: Poststratification Using Multilevel Logistic Regression (2006) (0)
Notes and Sources (2009) (0)
Modal and distributional approximations (2013) (0)
Posterior predictive checking and generalized graphical models (2009) (0)
Title: Avoiding Boundary Estimates in Hierarchical Linear Models Through Weakly (2012) (0)
COUNTY CSOUTH CGUIDE CUNEMP CBLPCT CCRIME CCONS IBLACK IMALE ITRIAL IACTCJS IREVOKE IDETAIN IPPRIS ICDRUG (2005) (0)
Commentary Discussion on “ Website Morphing ” by Hauser , Urban , Liberali , and Braun (2016) (0)
Limitations of “Limitations of Bayesian Leave-one-out Cross-Validation for Model Selection” (2018) (0)
Single-parameter models (2013) (0)
Discussion: What is an Analysis of Variance? (1987) (0)
Reconciling Evaluations of the Millennium Villages Project (2021) (0)
Book Review: Practical Data Analysis for Designed Experiments. Brian S. Yandell, Chapman & Hall, London, 1997. No. of pages: xii+437. Price: US$59.95, UK£32.50. ISBN 0-412-06341-7 (1998) (0)
A Quantitative Tour of the Social Sciences: Preface: Learning to Think Like a Social Scientist (2009) (0)
A Quantitative Tour of the Social Sciences: Historical Data and Demography in Europe and the Americas (2009) (0)
Comment on article by van Dyk et al (2006) (0)
A Quantitative Tour of the Social Sciences: Some Theories in Cognitive and Social Psychology (2009) (0)
Improving the Presentation of Quantitative Results in Political Science (2009) (0)
Consensus Monte Carlo using expectation propagation (2016) (0)
“Two Truths and a Lie” as a Class-Participation Activity (2022) (0)
Recently in the sister blog (2015) (0)
Learning from Economic Data (2009) (0)
Reliability of the Hach kit to test groundwater for arsenic in Bangladesh (2004) (0)
Causal quartets: Diﬀerent ways to attain the same average treatment eﬀect ∗ (2022) (0)
Corrigendum to “The statistical significance filter leads to overoptimistic expectations of replicability” [J. Mem. Lang. 103 (2018) 151–175] (2019) (0)
What made Bell Labs special (2012) (0)
God is in every leaf of every probability puzzle (2015) (0)
The Myth of the Rational Voter – By Bryan Caplan (2010) (0)
Comment: Anova as a Tool for Structuring and Understanding Hierarchical Models (2005) (0)
Fast Methods for Posterior Inference of Two-Group Normal-Normal Models (2021) (0)
Rejoinder: Laplace’s theories of cognitive illusions, heuristics and biases (2020) (0)
A Catch-22 in Assigning Primary Delegates (2021) (0)
A Safe Depth Forecasting Model for Insuring Tubewell Installations Against Arsenic Risk in Bangladesh (2017) (0)

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