Jasjeet S. Sekhon

Jasjeet S. Sekhon's AcademicInfluence.com Rankings

Jasjeet S. Sekhon

Mathematics

#7658

World Rank

#10390

Historical Rank

Statistics

#939

World Rank

#1033

Historical Rank

mathematics Degrees

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Mathematics

Jasjeet S. Sekhon's Degrees

PhD Statistics University of California, Berkeley
Masters Statistics University of California, Berkeley
Bachelors Electrical Engineering and Computer Science University of California, Berkeley

Why Is Jasjeet S. Sekhon Influential?

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According to Wikipedia, Jasjeet "Jas" Singh Sekhon is a data scientist, political scientist, and statistician at Yale University. Sekhon is the Eugene Meyer Professor at Yale University, a fellow of the American Statistical Association, and a fellow of the Society for Political Methodology. Sekhon's primary research interests lie in causal inference, machine learning, and their intersection. He has also published research on their application in various fields including voting behavior, online experimentation, epidemiology, and medicine.

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Jasjeet S. Sekhon'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

Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching Package for R (2008) (1496)
Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies (2006) (933)
Referral to an extracorporeal membrane oxygenation center and mortality among patients with severe 2009 influenza A(H1N1). (2011) (769)
Genetic Optimization Using Derivatives: The rgenoud Package for R (2011) (617)
Metalearners for estimating heterogeneous treatment effects using machine learning (2017) (458)
Elections and the Regression Discontinuity Design: Lessons from Close U.S. House Races, 1942–2008 (2011) (378)
Opiates for the Matches: Matching Methods for Causal Inference (2009) (317)
The Butterfly Did It: The Aberrant Vote for Buchanan in Palm Beach County, Florida (2001) (248)
When Natural Experiments Are Neither Natural nor Experiments (2012) (173)
Endogeneity in Probit Response Models (2008) (162)
The Neyman— Rubin Model of Causal Inference and Estimation Via Matching Methods (2008) (161)
Estimating causal effects: considering three alternatives to difference-in-differences estimation (2016) (151)
Adjusting treatment effect estimates by post‐stratification in randomized experiments (2013) (147)
From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects (2015) (138)
Genetic Optimization Using Derivatives (1998) (135)
Challenges, solutions and future directions in the evaluation of service innovations in health care and public health (2016) (134)
Lasso adjustments of treatment effect estimates in randomized experiments (2015) (132)
Overlap in observational studies with high-dimensional covariates (2017) (131)
Time-uniform, nonparametric, nonasymptotic confidence sequences (2018) (130)
Quality Meets Quantity: Case Studies, Conditional Probability, and Counterfactuals (2004) (113)
The Relative Performance of Targeted Maximum Likelihood Estimators (2011) (108)
Cemented, cementless, and hybrid prostheses for total hip replacement: cost effectiveness analysis (2013) (107)
Black Candidates and Black Voters: Assessing the Impact of Candidate Race on Uncounted Vote Rates (2005) (98)
Worth Weighting? How to Think About and Use Weights in Survey Experiments (2017) (94)
A matching method for improving covariate balance in cost-effectiveness analyses. (2012) (93)
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning (2017) (84)
Time-uniform Chernoff bounds via nonnegative supermartingales (2018) (83)
Overvoting and representation: an examination of overvoted presidential ballots in Broward and Miami-Dade counties (2003) (82)
Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data (2004) (80)
Coordination and Policy Moderation at Midterm (2002) (55)
Uniform, nonparametric, non-asymptotic confidence sequences (2018) (47)
The Design of Field Experiments With Survey Outcomes: A Framework for Selecting More Efficient, Robust, and Ethical Designs (2017) (46)
Statistical Models and Causal Inference: A Dialogue with the Social Sciences (2009) (44)
Cause or Effect? Turnout in Hispanic Majority-Minority Districts (2016) (41)
From SATE to PATT : Combining Experimental with Observational Studies to Estimate Population Treatment Effects ∗ (2013) (41)
Regression-adjusted matching and double-robust methods for estimating average treatment effects in health economic evaluation (2013) (40)
The Varying Role of Voter Information Across Democratic Societies (2007) (38)
On Interpreting the Regression Discontinuity Design as a Local Experiment (2017) (36)
Improving massive experiments with threshold blocking (2016) (34)
Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach (2012) (34)
Evaluating health care programs by combining cost with quality of life measures: a case study comparing capitation and fee for service. (2008) (32)
Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching (2014) (32)
Cancer Drugs Fund requires further reform (2016) (30)
A New Non-Parametric Matching Method for Bias Adjustment with Applications to Economic Evaluations (2008) (28)
Methods for Estimating Subgroup Effects in Cost-Effectiveness Analyses That Use Observational Data (2012) (27)
Law and Data: The Butterfly Ballot Episode (2001) (25)
Transfer Learning for Estimating Causal Effects using Neural Networks (2018) (21)
Exponential line-crossing inequalities (2018) (21)
A comparison of alternative strategies for choosing control populations in observational studies (2015) (19)
Understanding Regression Discontinuity Designs As Observational Studies (2016) (19)
A New Non-Parametric Matching Method for Covariate Adjustment with Application to Economic Evaluation (2009) (18)
Regression-Discontinuity Designs and Popular Elections : Implications of Pro-Incumbent Bias in Close U . S . House Races (2010) (18)
Extending iterative matching methods: an approach to improving covariate balance that allows prioritisation (2011) (18)
Statistical Models and Causal Inference: On Specifying Graphical Models for Causation, and the Identification Problem (2009) (17)
Shrinkage Estimators in Online Experiments (2019) (17)
The Asymmetric Role of Religious Appeals in India (2015) (16)
Costs of health care administration in the United States and Canada. (2003) (15)
A Comparison of the Small-Sample Properties of Several Estimators for Spatial-Lag Count Models (2009) (14)
Inference on a New Class of Sample Average Treatment Effects (2017) (12)
Propensity-Score-Based Estimators and C-TMLE (2011) (11)
Causaltoolbox—Estimator Stability for Heterogeneous Treatment Effects (2018) (10)
Steroid-Responsive (Autoimmune?) Sclerosing Cholangitis (2005) (10)
Exploiting Tom DeLay: A New Method for Estimating Incumbency Advantage (2008) (9)
Broad cross-national public support for accelerated COVID-19 vaccine trial designs (2020) (9)
Blocking estimators and inference under the Neyman-Rubin model (2015) (9)
Advancing quantitative methods for the evaluation of complex interventions (2016) (9)
Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias (2020) (9)
Active matrix factorization for surveys (2019) (8)
Redistricting and the Personal Vote: When Natural Experiments are Neither Natural nor Experiments (2009) (8)
Statistical Models and Causal Inference: Contents (2009) (7)
Detecting and Correcting Election Irregularities (2003) (6)
Statistical Models and Causal Inference: Statistical Models and Shoe Leather (2009) (6)
The 2004 Florida Optical Voting Machine Controversy: A Causal Analysis Using Matching (2004) (6)
Generalized Full Matching (2017) (5)
Statistical Models and Causal Inference: Survival Analysis: An Epidemiological Hazard? (2009) (4)
Generalized full matching and extrapolation of the results from a large-scale voter mobilization experiment. (2017) (4)
Nonparametric identification is not enough, but randomized controlled trials are (2021) (3)
The Relative Performance of Targeted (2011) (3)
Statistical Models and Causal Inference: Editors' Introduction: Inference and Shoe Leather (2009) (3)
Linear Aggregation in Tree-Based Estimators (2019) (3)
Detection of Multinomial Voting Irregularities (2001) (2)
Estimating Heterogeneous Treatment Effects Using Neural Networks With The Y-Learner (2018) (2)
Improving Experiments by Optimal Blocking: Minimizing the Maximum Within-block Distance (2013) (2)
Issues in the Foundations of Statistics: Probability and Statistical Models (2009) (2)
Make-or-Buy ? The Provision of Indigent Defense Services in the U . S . ∗ (2020) (2)
Fundamental health care reform for the United States (2010) (2)
Methods for Census 2000 and Statistical Adjustments (2007) (2)
Mobilizing Identities : Religious Practice and Political Action in India ∗ (2013) (2)
Cancer Drugs Fund requires further reform : Reliance on “real world” observational data undermines evidence base for clinical practice (2016) (1)
Statistical Models: Foreword to the Revised Edition (2009) (1)
Preliminary Findings of the Statistical Evaluation of the Crime-Deterrent Effects of The San Francisco Crime Camera Program (2008) (1)
Statistics, false inferences and unacknowledged uncertainties (2010) (1)
Testing Theories of Attitude Change with Online Panel Field Experiments (2016) (1)
Statistical Models and Causal Inference: Black Ravens, White Shoes, and Case Selection: Inference with Categorical Variables (2009) (1)
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast (2023) (1)
Prevalence Tracking Mechanisms for SARS-CoV-2 (2020) (1)
Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data (2022) (1)
Combining Experimental and Observational Data to Estimate Population Treatment Effects (2010) (1)
Statistical Models and Causal Inference: Randomization Does Not Justify Logistic Regression (2009) (1)
Statistical Models and Causal Inference: New Developments: Progress or Regress? (2009) (1)
A Tale of Two Panel Data Regressions (2022) (1)
OVERLAP IN HIGH DIMENSIONAL OBSERVATIONAL STUDIES PRELIMINARY DRAFT DO NOT CITE (2017) (0)
Cost-effectiveness analysis of different reimbursement models for patients with severe mental illness (2007) (0)
Government 2000 Lecture Notes (2005) (0)
Comment: Data Troubles: Explaining Discrepancies between Official Votes and Exit Polls in the 2004 Presidential Election (2007) (0)
Uk Causal Inference Meeting 2015 Welcome to the Uk Causal Inference Meeting (uk-cim) Uk-cim Steering Group: Wednesday 15 Th April 2015 Venue: Lecture Theatre 2, Chemistry Building Estimating the Optimal Treatment Sequence for Graft-versus-host-disease following Bone Marrow Transplantation Stable Wei (2015) (0)
Hybridized Threshold Clustering for Massive Data (2019) (0)
Ethnicity or class? The communist electorate in English Canada, 1945–77 (1995) (0)
Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data, with an Application to the Elian Efiect in Florida ⁄ (2002) (0)
Preface to “Endogeneity in Probit Response Models” (2010) (0)
Field Experiments with Survey Outcomes (2021) (0)
Harnois et al.: Study of high-dose ursodeoxycholic acid [1] (multiple letters) (2002) (0)
Causal Inference, Matching, and Regression Discontinuity (2009) (0)
Efficient Estimation of Average Treatment Effects under Effect Heterogeneity (2017) (0)
Essays on Causal Inference in Randomized Experiments by Winston Lin Doctor of Philosophy in Statistics (2013) (0)
Comment: Queuing To Vote in Franklin County, Ohio, in 2004 (2006) (0)
US.with2000censusAKRIDEHI.26july.tab (2007) (0)
NEW METHODS FOR ADDRESSING CONFOUNDING IN COMPARATIVE EFFECTIVENESS AND COST-EFFECTIVENESS STUDIES (2016) (0)
OVERLAP IN HIGH DIMENSIONAL OBSERVATIONAL STUDIES WORKING DRAFT ; REVISED : 10 / 24 / 2017 (2017) (0)
Statistical Models and Causal Inference: References and Further Reading (2009) (0)
Preferences for Descriptive Representation : Asymmetries Between Hindus and Muslims in India ∗ (2018) (0)
Harnois et al.: study of high-dose ursodeoxycholic acid (2002) (0)
Statistical Models and Causal Inference: On Types of Scientific Inquiry: The Role of Qualitative Reasoning (2009) (0)
Statistical Models and Causal Inference: Endogeneity in Probit Response Models (2009) (0)
Statistical Models and Causal Inference: Diagnostics Cannot Have Much Power Against General Alternatives (2009) (0)
Statistics and Health Care Reform in the United States (2010) (0)

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Jasjeet S. Sekhon's Academic­Influence.com Rankings