A. Gelman

Francis Tuerlinckx, Wolf Vanpaemel, Andrew Gelman, 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

How do we choose our default methods

Andrew Gelman, A. Gelman, 2014 .

Bayesian statistics and modelling

Marina Vannucci, Sarah Depaoli, Joukje Willemsen, 2020, Nature Reviews Methods Primers.

Philosophy and the practice of Bayesian statistics.

Cosma Rohilla Shalizi, Andrew Gelman, A. Gelman, 2010, The British journal of mathematical and statistical psychology.

Measurement error and the replication crisis

Andrew Gelman, Eric Loken, A. Gelman, 2017, Science.

Why We (Usually) Don't Have to Worry About Multiple Comparisons

Andrew Gelman, Jennifer Hill, Masanao Yajima, 2009, 0907.2478.

Handbook of Markov Chain Monte Carlo

Andrew Gelman, Xiao-Li Meng, Galin L. Jones, 2011 .

Correction to ‘A Bayesian bird's eye view of ‘Replications of important results in social psychology’

Felix D. Schönbrodt, Andrew Gelman, Yuling Yao, 2017, Royal Society Open Science.

Bayesian Analysis of Tests with Unknown Specificity and Sensitivity

A. Gelman, B. Carpenter, A. Gelman, 2020, medRxiv.

Using Stacking to Average Bayesian Predictive Distributions (with Discussion)

Aki Vehtari, Andrew Gelman, Daniel Simpson, 2017, Bayesian Analysis.

Type S error rates for classical and Bayesian single and multiple comparison procedures

Francis Tuerlinckx, Andrew Gelman, A. Gelman, 2000, Comput. Stat..

Regression Modeling and Meta-Analysis for Decision Making

Andrew Gelman, Matthew F. Stevens, Valerie Chan, 2003 .

Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in stan.

Stephen J Mooney, Andrew Gelman, Katherine Wheeler-Martin, 2019, Spatial and spatio-temporal epidemiology.

Fitting Bayesian item response models in Stata and Stan

Bob Carpenter, Andrew Gelman, Robert L. Grant, 2016, 1601.03443.

Validating Bayesian Inference Algorithms with Simulation-Based Calibration

Aki Vehtari, Andrew Gelman, Daniel Simpson, 2018, 1804.06788.

Additional topics in causal inference

A. Gelman, Jennifer L. Hill, Aki Vehtari, 2020 .

R-squared for Bayesian Regression Models

Jonah Gabry, Aki Vehtari, Andrew Gelman, 2019, The American Statistician.

Correction to Cook, Gelman, and Rubin (2006)

Andrew Gelman, A. Gelman, 2017 .

Validation of Software for Bayesian Models Using Posterior Quantiles

Donald B. Rubin, Samantha R. Cook, Andrew Gelman, 2006 .

Poststrati cation Into Many Categories Using HierarchicalLogistic Regression

A. Gelman, 1997 .

Bayesian Model-Building By Pure Thought: Some Principles and Examples

Andrew Gelman, A. Gelman, 1994 .

Improving multilevel regression and poststratification with structured priors.

Daniel Simpson, Andrew Gelman, Lauren Kennedy, 2019, Bayesian analysis.

You Can Load a Die, But You Can't Bias a Coin

Deborah Nolan, Andrew Gelman, A. Gelman, 2002 .

Bayesian Inference with Probability Matrix Decomposition Models

Andrew Gelman, Eric Maris, Paul De Boeck, 2001 .

Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models

Sophia Rabe-Hesketh, Andrew Gelman, Vincent Dorie, 2015 .

Avoiding Boundary Estimates in Linear Mixed Models Through Weakly Informative Priors

Sophia Rabe-Hesketh, Andrew Gelman, Vincent Dorie, 2012 .

A non-degenerate estimator for hierarchical variance parameters via penalized likelihood estimation

A. Gelman, S. Rabe-Hesketh, Jingcheng Liu, 2011 .

Nested $\hat R$: Assessing the convergence of Markov chain Monte Carlo when running many short chains

A. Gelman, M. Hoffman, Pavel Sountsov, 2021, 2110.13017.

A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models

Sophia Rabe-Hesketh, Andrew Gelman, Vincent Dorie, 2013, Psychometrika.

The Millennium Villages Project : A protocol for the final evaluation

A. Gelman, J. Sachs, C. Palm, 2015 .

Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls

Andrew Gelman, Joseph Bafumi, David Park, 2004, Political Analysis.

Economic Disparities and Life Satisfaction in European Regions

M. G. Pittau, Andrew Gelman, Roberto Zelli, 2010 .

Applied Bayesian Modeling And Causal Inference From Incomplete-Data Perspectives

Andrew Gelman, Meng Xiaoli, A. Gelman, 2005 .

Inference from Simulations and Monitoring Convergence

Andrew Gelman, Kenneth E. Shirley, Kenneth Shirley, 2011 .

How Much does a Vote Count? Voting Power, Coalitions, and the Electoral College

Jonathan N. Katz, A. Gelman, 2001 .

A Unified Method of Evaluating Electoral Systems and Redistricting Plans

Gary King, Andrew Gelman, A. Gelman, 1994 .

JudgeIt II: A Program for Evaluating Electoral Systems and Redistricting Plans

A. Gelman, Gary King, A. C. Thomas, 1992 .

Discussion Paper Series An Experimental Study of Storable Votes

A. Gelman, T. Palfrey, A. Casella, 2003 .

A Single Series from the Gibbs Sampler Provides a False Sense of Security *

D. Rubin, A. Gelman, 2008 .

Diagnostics for multivariate imputations

Andrew Gelman, Marc A. Levy, Kobi Abayomi, 2007 .

Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful

Aki Vehtari, Andrew Gelman, Yuling Yao, 2021, Bayesian Analysis.

Bayesian hierarchical stacking

Aki Vehtari, Andrew Gelman, Yuling Yao, 2021, ArXiv.

Ethics and Statistics: They'd Rather Be Rigorous Than Right

A. Gelman, Andrew Gelman, 2013 .

Two simple examples for understanding posterior p-values whose distributions are far from uniform

Andrew Gelman, A. Gelman, 2013 .

A broken system: the persistent patterns of reversals of death sentences in the United States

Andrew Gelman, Valerie West, A. Gelman, 2004 .

Sampling for Bayesian Computation with Large Datasets

Andrew Gelman, Zaiying Huang, A. Gelman, 2005 .

A method for estimating design-based sampling variances for surveys with weighting, poststratification, and

Andrew Gelman, Hao Lu, A. Gelman, 2003 .

Analysis of Large-Scale Social Surveys 1

Elaine L. Zanutto, A. Gelman, 2000 .

Revised evidence for statistical standards

Christian P Robert, Andrew Gelman, C. Robert, 2014, Proceedings of the National Academy of Sciences.

Probability and inference

D. Rubin, J. Carlin, A. Gelman, 2013 .

2. Average Predictive Comparisons for Models with Nonlinearity, Interactions, and Variance Components

Andrew Gelman, Iain Pardoe, A. Gelman, 2007 .

How Many People Do You Know in Prison?

Tian Zheng, Matthew J. Salganik, Matthew J Salganik, 2006 .

Exploring the Relationships Between USMLE Performance and Disciplinary Action in Practice: A Validity Study of Score Inferences From a Licensure Examination

A. Gelman, Aaron J. Young, D. Swanson, 2017, Academic medicine : journal of the Association of American Medical Colleges.

The statistical significance filter leads to overoptimistic expectations of replicability

Shravan Vasishth, Andrew Gelman, Lena A. Jäger, 2018, Journal of Memory and Language.

How Bayesian Analysis Cracked the Red-State, Blue-State Problem

A. Gelman, 2014, 1405.4687.

Adaptive Path Sampling in Metastable Posterior Distributions

Aki Vehtari, Andrew Gelman, Yuling Yao, 2020, 2009.00471.

Bayesian Nonparametric Weighted Sampling Inference

Yajuan Si, Andrew Gelman, Natesh S. Pillai, 2013, 1309.1799.

Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors

A. Gelman, Aki Vehtari, Yuling Yao, 2020, J. Mach. Learn. Res..

Two-Stage Regression and Multilevel Modeling: A Commentary

Andrew Gelman, A. Gelman, 2005, Political Analysis.

Bayesian statistics and modelling

A. Gelman, M. Vannucci, M. Tadesse, 2021, Nature Reviews Methods Primers.

Struggles with survey weighting and regression modeling

Andrew Gelman, A. Gelman, 2007, 0710.5005.

Incorporating the sampling design in weighting adjustments for panel attrition

Andrew Gelman, Fran H Norris, Qixuan Chen, 2015, Statistics in Medicine.

Centralized Analysis of Local Data, with Dollars and Lives on the Line: Lessons from the Home Radon Experience

Andrew Gelman, Phillip N. Price, A. Gelman, 2014, Computational Social Science.

Analysis of Local Decisions Using Hierarchical Modeling, Applied to Home Radon Measurement and Remediation

David H. Krantz, Andrew Gelman, Phillip N. Price, 1999 .

Treatment Effects in Before‐After Data

Andrew Gelman, A. Gelman, 2005 .

ORBITA : A case study in the analysis and reporting of clinical trials

J. Carlin, A. Gelman, B. Nallamothu, 2018 .

Estimating Incumbency Advantage and Its Variation, as an Example of a Before–After Study

Andrew Gelman, Zaiying Huang, A. Gelman, 2008 .

A consensus-based transparency checklist

Ty W. Boyer, Christopher D. Chambers, Andrew A. Bennett, 2019, Nature Human Behaviour.

Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.

Andrew Gelman, Lauren Kennedy, A. Gelman, 2019, Psychological methods.

WEIGHTING FOR HOUSEHOLD SIZE

Andrew Gelman, Thomas C. Little, A. Gelman, 2016 .

A Course on Teaching Statistics at the University Level

A. Gelman, 2005 .

Inherent difficulties of non-Bayesian likelihood-based inference, as revealed by an examination of a recent book by Aitkin

Christian P. Robert, Judith Rousseau, Andrew Gelman, 2010, 1012.2184.

\Not only defended but also applied": A look back at Feller's take on Bayesian inference

C. Robert, A. Gelman, 2010 .

Bayesian aggregation of average data: An application in drug development

Aki Vehtari, Andrew Gelman, Sebastian Weber, 2016, The Annals of Applied Statistics.

Global shifts in the phenological synchrony of species interactions over recent decades

Andrew Gelman, Johan Ehrlén, Kjell Bolmgren, 2018, Proceedings of the National Academy of Sciences.

Appears as Chapter 5 of the Handbook of Markov Chain Monte Carlo

Steve P. Brooks, Xiao-Li Meng, Galin L. Jones, 2012 .

Targeting Low-arsenic Groundwater with Mobile-phone Technology in Araihazar, Bangladesh

A. Gelman, A. van Geen, A. Gelman, 2006, Journal of health, population, and nutrition.

Evaluating and Using Statistical Methods in the Social Sciences

Donald B. Rubin, Andrew Gelman, D. Rubin, 1999 .

Income Inequality and Partisan Voting in the United States

Andrew Gelman, Yu-Sung Su, Lane Kenworthy, 2010 .

Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do

Andrew Gelman, A. Gelman, 2008 .

Statistical Graphics for Survey Weights

Yajuan Si, Andrew Gelman, Susanna Makela, 2014 .

Some Natural Solutions to the p-Value Communication Problem—and Why They Won’t Work

John B. Carlin, Andrew Gelman, J. Carlin, 2017 .

An Excel add-in for regression analysis

Andrew Gelman, A. Gelman, 2015 .

Reliability of a commercial kit to test groundwater for arsenic in Bangladesh.

A. Gelman, F. Parvez, J. Graziano, 2005, Environmental science & technology.

Routine Hospital-based SARS-CoV-2 Testing Outperforms State-based Data in Predicting Clinical Burden

Yajuan Si, Andrew Gelman, Siquan Wang, 2021, Epidemiology.

Voter Registration Databases and MRP: Toward the Use of Large-Scale Databases in Public Opinion Research

Andrew Gelman, Yair Ghitza, A. Gelman, 2020, Political Analysis.

Bayesian inference under cluster sampling with probability proportional to size

Andrew Gelman, Susanna Makela, Yajuan Si, 2017, Statistics in medicine.

Bayesian hierarchical weighting adjustment and survey inference

Yajuan Si, Andrew Gelman, Rob Trangucci, 2017, 1707.08220.

Social penumbras predict political attitudes

A. Gelman, Yotam Margalit, 2021, Proceedings of the National Academy of Sciences.

Public Opinion on Health Care Reform

Daniel Lee, Andrew Gelman, Yair Ghitza, 2010 .

The Political Significance of Social Penumbras

A. Gelman, Yotam Margalit, 2019, 1906.02822.

The Political Impact of Social Penumbras

A. Gelman, Yotam Margalit, 2015 .

Voting as a Rational Choice: Why and How People Vote to Improve the Well-Being of Others

A. Gelman, A. Edlin, Noah J. Kaplan, 2007 .

Simulation Modeling for Cost Estimation

Donald B. Rubin, Andrew Gelman, Richard P. Waterman, 2000 .

Evidence on the deleterious impact of sustained use of polynomial regression on causal inference

Andrew Gelman, A. Gelman, Adam Zelizer, 2015 .

Review Essay Causality and Statistical Learning 1

Andrew Gelman, Stephen L. Morgan, Christopher Winship, 2011 .

Are confidence intervals better termed “uncertainty intervals”?

S. Greenland, A. Gelman, 2019, BMJ.

Should the democrats move to the left on economic policy

A. Gelman, C. J. Cai, 2008, 0807.4003.

A simple explanation for declining temperature sensitivity with warming

A. Gelman, A. Ettinger, I. Morales‐Castilla, 2021, bioRxiv.

Systematic Consequences of Incumbency Advantage in the U.S. House Elections

Gary King, Andrew Gelman, A. Gelman, 1991 .

THE POLLS-A REVIEW PREELECTION SURVEY METHODOLOGY: DETAILS FROM EIGHT POLLING ORGANIZATIONS, 1988 AND 1992

Gary King, Andrew Gelman, D. Stephen Voss, 1995 .

Limitations of “Limitations of Bayesian Leave-one-out Cross-Validation for Model Selection”

A. Gelman, Yuling Yao, Aki Vehtari, 2018, Computational Brain & Behavior.

Limitations of “Limitations of Bayesian Leave-one-out Cross-Validation for Model Selection”

Aki Vehtari, Andrew Gelman, Yuling Yao, 2018, Computational Brain & Behavior.

Diculty of selecting among multilevel models using predictive accuracy

Andrew Gelman, Wang Wei, A. Gelman, 2015 .

Rejoinder: Struggles with survey weighting and regression modeling

Andrew Gelman, A. Gelman, 2007, 0710.5019.

Predicting and Dissecting the Seats-Votes Curve in the 2006 U.S. House Election

Andrew Gelman, Jonathan P. Kastellec, A. Gelman, 2008, PS: Political Science & Politics.

Evaluating Standards for Protecting Aquatic Life in Washington ' s Surface Water Quality Standards Temperature Criteria Draft Discussion Paper and Literature Summary

A. Gelman, F. Bois, 2000 .

Age-aggregation bias in mortality trends

Andrew Gelman, Jonathan Auerbach, A. Gelman, 2015, Proceedings of the National Academy of Sciences.

Who Wants School Vouchers?

A. Gelman, Yu-Sung Su, 2010 .

Data Analysis Using Regression and Multilevel/Hierarchical Models: Sample size and power calculations

A. Gelman, Jennifer L. Hill, 2006 .

Using Image and Curve Registration for Measuring the Goodness of Fit of Spatial and Temporal Predictions

Andrew Gelman, Phillip Price, A. Gelman, 2004, Biometrics.

Comment: Fuzzy and Bayesian p-Values and u-Values

A. Gelman, 2005 .

Enhancing Democracy Through Legislative Redistricting

Gary King, Andrew Gelman, A. Gelman, 1994, American Political Science Review.

Multiple Imputation for Continuous and Categorical Data: Comparing Joint Multivariate Normal and Conditional Approaches

Andrew Gelman, Jennifer Hill, Ben Goodrich, 2014, Political Analysis.

Multiple Imputation for Continuous and Categorical Data: Comparing Joint and Conditional Approaches

A. Gelman, Ben Goodrich, J. Kropko, 2013 .

Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data

Geert Verbeke, Daniel F Heitjan, Andrew Gelman, 2005, Biometrics.

Scoring Model Predictions using Cross-Validation

Andrew Gelman, Anna L. Smith, Tian Zheng, 2018 .

Large-Scale Social Surveys, Analysis of

Andrew Gelman, Elaine L. Zanutto, Elaine Zanutto, 2001 .

A Default Prior Distribution for Logistic and Other Regression Models

M. G. Pittau, A. Gelman, Aleks Jakulin, 2007 .

Discussion points for Bayesian inference

A. Gelman, Z. Dienes, M. Lee, 2020, Nature Human Behaviour.

Teaching Bayes to Graduate Students in Political Science, Sociology, Public Health, Education, Economics, …

A. Gelman, 2008 .

COUNTY CSOUTH CGUIDE CUNEMP CBLPCT CCRIME CCONS IBLACK IMALE IACTCJS ITRIAL IREVOKE IDETAIN IPPRIS ICDRUG ICPROP

A. Gelman, I. Pardoe, Andrew Gelman, 2006 .

COUNTY CSOUTH CGUIDE CUNEMP CBLPCT CCRIME CCONS IBLACK IMALE ITRIAL IACTCJS IREVOKE IDETAIN IPPRIS ICDRUG

A. Gelman, I. Pardoe, 2005 .

P values and statistical practice.

Andrew Gelman, A. Gelman, 2013, Epidemiology.

Learning About Networks Using Sampling: Discussion of “Adaptive and Network Sampling for Inference and Interventions in Changing Populations” by Steven K. Thompson

Andrew Gelman, A. Gelman, 2017 .

Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity

A. Gelman, Paul-Christian Burkner, Shinyoung Kim, 2022, 2211.02383.

Manipulating and summarizing posterior simulations using random variable objects

Andrew Gelman, Jouni Kerman, A. Gelman, 2007, Stat. Comput..

The Great Society, Reagan's Revolution, and Generations of Presidential Voting

A. Gelman, Yair Ghitza, Jonathan Auerbach, 2022, American Journal of Political Science.

A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data

Richard J. Barker, Andrew Gelman, Edward R. Cook, 2015, 1510.02557.

Using sex and gender in survey adjustment

A. Gelman, Daniel P. Simpson, J. Teitler, 2020, 2009.14401.

Accounting for uncertainty during a pandemic

Andrew Gelman, Ruth Etzioni, Julien Riou, 2020, Patterns.

The illusion of power: How the statistical significance filter leads to overconfident expectations of replicability

Andrew Gelman, Shravan Vasishth, A. Gelman, 2017 .

Retrospective design analysis using external information 1

J. Carlin, A. Gelman, A. Berlin, 2013 .

A statistician's perspective on “Mostly Harmless Econometrics: An Empiricist's Companion”, by Joshua D. Angrist and Jörn-Steffen Pischke

Andrew Gelman, A. Gelman, 2009 .

Climate Reconstruction Using Tree-Ring Data

Matthew R. Schofield, A. Gelman, E. Cook, 2011 .

Improve the Well-Being of Others Voting as a Rational Choice: Why and How People Vote To

A. Gelman, A. Edlin, Noah J. Kaplan, 2007 .

Voting as a rational choice : the effect of preferences regarding the well-being of others ∗

A. Gelman, A. Edlin, Noah J. Kaplan, 2005 .

A Method for Quantifying Artefacts in Mapping Methods Illustrated by Application to Headbanging

A Gelman, P N Price, C Y Lin, 2022 .

Models, assumptions and model checking in ecological regressions

Andrew Gelman, Phillip N. Price, Stephen Ansolabehere, 2001 .

Letter to the editors regarding some papers of Dr. Satoshi Kanazawa.

Andrew Gelman, A. Gelman, 2007, Journal of Theoretical Biology.

Teacher’s Corner: Using Exams for Teaching Concepts in Probability and Statistics

A. Gelman, 1997 .

Voting, Fairness, and Political Representation

A. Gelman, 2002 .

Forming Voting Blocs and Coalitions as a Prisoner's Dilemma: A Possible Theoretical Explanation for Political Instability

Andrew Gelman, A. Gelman, Andrew Gelman, 2003 .

Hierarchical models for estimating state and demographic trends in US death penalty public opinion

Kenneth E. Shirley, A. Gelman, 2015 .

Bayesian Data Analysis.@@@Bayes and Empirical Bayes Methods for Data Analysis.

D. Rubin, J. Carlin, T. Louis, 1997 .

NO TRUMP ! : A statistical exercise in priming 1

A. Gelman, J. Falk, 2016 .

Model Checking and Model Improvment (chapter for Gilks, Richardson, and Spiegelhalter Book)

Andrew Gelman, Xiao-Li Meng, Xiao-Li Meng, 2007 .

Interrogating p-values

Andrew Gelman, A. Gelman, 2013 .

Data Analysis Using Regression and Multilevel/Hierarchical Models

A. Gelman, Jennifer L. Hill, Jennifer Hill, 2006 .

Red State/Blue State Divisions in the 2012 Presidential Election

A. Gelman, A. Feller, Boris Shor, 2013 .

Statistics as Squid Ink: How Prominent Researchers Can Get Away with Misrepresenting Data

A. Gelman, Alexey Guzey, 2020, CHANCE.

Discussion: Difficulties in making inferences about scientific truth from distributions of published p-values.

Andrew Gelman, A. Gelman, K. O'rourke, 2014, Biostatistics.

Disentangling Bias and Variance in Election Polls

Sharad Goel, Andrew Gelman, David Rothschild, 2018 .

Gaussian process models

D. Rubin, J. Carlin, A. Gelman, 2013 .

Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach

Eric P. Xing, A. Gelman, Hongyi Wang, 2023, ICLR.

The statistical significance filter leads to overconfident expectations of replicability

A. Gelman, S. Vasishth, 2017, CogSci.

Measuring social distance using indirectly observed network data

Tian Zheng, Andrew Gelman, Tyler H. McCormick, 2010 .

Ethics and Statistics: Ethics and the Statistical Use of Prior Information

A. Gelman, 2012 .

Bayesian prediction of mean indoor radon concentrations for Minnesota counties.

P N Price, A Gelman, A V Nero, 1996, Health physics.

Publisher Correction: Bayesian statistics and modelling

Marina Vannucci, Sarah Depaoli, Joukje Willemsen, 2021, Nature Reviews Methods Primers.

Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data

Matthijs Vákár, Andrew Gelman, A. Gelman, 2019, Statistics in medicine.

Bayesian Computation

A. Gelman, 2019, Practical Applications of Bayesian Reliability.

Aggregation among Binary, Count, and Duration Models: Estimating the Same Quantities from Diierent Levels of Data

Curtis S. Signorino, A. Gelman, Nicholas van de Walle, 1999 .

Ethics and Statistics: Statisticians: When We Teach, We Don't Practice What We Preach

A. Gelman, E. Loken, 2012 .

Ethics in statistical practice and communication: Five recommendations

A. Gelman, 2018, The Best Writing on Mathematics 2019.

Seeking 50 % of Seats , Needing More than 50 % of Votes : Predicting the Seats-Votes Curve in the 2006 Elections ∗

Jonathan P. Kastellec, A. Gelman, J. P. Chandler, 2006 .

Ethics and Statistics: The AAA Tranche of Subprime Science

Andrew Gelman, Eric Loken, A. Gelman, 2014 .

Targeting Low-arsenic Groundwater with Mobile-phone Technology in Araihazar, Bangladesh

A. Gelman, M. Trevisani, A. van Geen, 2006, Journal of health, population, and nutrition.

A Safe Depth Forecasting Model for Insuring Tubewell Installations Against Arsenic Risk in Bangladesh

Matilde Trevisani, Andrew Gelman, Alexander van Geen, 2017, ICCSA.

Increasing Transparency Through a Multiverse Analysis

A. Gelman, S. Steegen, F. Tuerlinckx, 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

Inference from Nonrandom Samples Using Bayesian Machine Learning.

A. Gelman, Qixuan Chen, Yutao Liu, 2021, Journal of survey statistics and methodology.

Philosophy and the practice of Bayesian statistics.

A. Gelman, C. Shalizi, 2010, The British journal of mathematical and statistical psychology.

A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models

A. Gelman, S. Rabe-Hesketh, Jingcheng Liu, 2013, Psychometrika.

Stan: A Probabilistic Programming Language.

Marcus A. Brubaker, A. Gelman, M. Betancourt, 2017, Journal of statistical software.

Data Analysis Using Regression and Multilevel/Hierarchical Models: Causal inference using regression on the treatment variable

A. Gelman, J. Hill, 2006 .

Philosophy and the Practice of Bayesian Statistics in the Social Sciences

A. Gelman, Igor Carron, Deborah Mayo, 2010 .

Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity

A. Gelman, Paul-Christian Burkner, Shinyoung Kim, 2022, Bayesian Analysis.

Working through some issues

Andrew Gelman, A. Gelman, 2015 .

Statistics and the crisis of scientific replication

A. Gelman, 2014 .

Correction: Should the Democrats move to the left on economic policy?

A. Gelman, 2013 .

19 Things We Learned from the 2016 Election

Andrew Gelman, Julia R. Azari, A. Gelman, 2017 .

Markov Chain Monte Carlo in Practice: A Roundtable Discussion

Radford M. Neal, A. Gelman, R. Kass, 1998 .

Handbook of Markov Chain Monte Carlo: Hardcover: 619 pages Publisher: Chapman and Hall/CRC Press (first edition, May 2011) Language: English ISBN-10: 1420079417

Steve P. Brooks, Galin L. Jones, A. Gelman, 2012 .

Multilevel (Hierarchical) Modeling

A. Gelman, 2006 .

Nested $\hat R$: Assessing the convergence of Markov chain Monte Carlo when running many short chains

A. Gelman, M. Hoffman, Pavel Sountsov, 2021, 2110.13017.

A Bayesian bird's eye view of ‘Replications of important results in social psychology’

Felix D. Schönbrodt, A. Gelman, E. Wagenmakers, 2017, Royal Society Open Science.

A Practical Guide to Measuring Social Structure Using Indirectly Observed Network Data

Tian Zheng, Andrew Gelman, Johannes Ruf, 2013 .

A Chain as Strong as Its Strongest Link? Understanding the Causes and Consequences of Biases Arising from Selective Analysis and Reporting of Research Results

A. Gelman, 2023, Journal of Research on Educational Effectiveness.

Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family

A. Gelman, Xiaoli Meng, 2005 .

Multiple Perspectives on Inference for Two Simple Statistical Scenarios

Christian Hennig, Richard D. Morey, Rink Hoekstra, 2018, The American Statistician.

The Experiment is just as Important as the Likelihood in Understanding the Prior: a Cautionary Note on Robust Cognitive Modeling

A. Gelman, Daniel P. Simpson, Lauren Kennedy, 2019, Computational Brain & Behavior.

Data Analysis Using Regression and Multilevel/Hierarchical Models: Fitting multilevel linear and generalized linear models in Bugs and R

A. Gelman, J. Hill, 2006 .

Probabilistic feature analysis of facial perception of emotions

Iven Van Mechelen, Andrew Gelman, Michel Meulders, 2005 .

Don't Calculate Post-hoc Power Using Observed Estimate of Effect Size.

A. Gelman, 2018, Annals of surgery.

Ethics and Statistics: The Commissar for Traffic Presents the Latest Five-Year Plan

A. Gelman, P. Price, 2014 .

The Commissar for Traffic presents the latest Five-Year Plan 1

A. Gelman, P. Price, 2014 .

Time-reversal heuristic

Andrew Gelman, Don van Ravenzwaaij, Rink Hoekstra, 2016 .

Bursts: The Hidden Pattern Behind Everything We Do

Andrew Gelman, A. Gelman, 2010 .

Bayesian Data Analysis

W. J. Thompson, T. C. Black, D. Rubin, 2024, The SAGE Encyclopedia of Research Design.

Gaydar and the fallacy of objective measurement ∗

A. Gelman, Daniel P. Simpson, Greggor Mattson, 2018 .

Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in stan.

A. Gelman, Daniel P. Simpson, C. DiMaggio, 2019, Spatial and spatio-temporal epidemiology.

Unifying design-based and model-based sampling inference by estimating a joint population distribution for weights and outcomes ∗

A. Gelman, 2023 .

Rich State, Poor State

A. Gelman, 2009 .

Simulation-efficient shortest probability intervals

Ying Liu, Tian Zheng, Andrew Gelman, 2013, Stat. Comput..

Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

A. Gelman, Aki Vehtari, Jonah Gabry, 2016, Statistics and computing.

Incorporating the sampling design in weighting adjustments for panel attrition

A. Gelman, S. Galea, F. Norris, 2015, Statistics in medicine.

Average predictive effects for models with nonlinearity , interactions , and variance components ∗

A. Gelman, I. Pardoe, 2004 .

When we make recommendations for scientific practice, we are (at best) acting as social scientists

A. Gelman, 2019, European journal of clinical investigation.

Preregistration of Studies and Mock Reports

Andrew Gelman, A. Gelman, 2013, Political Analysis.

A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates

Erik van Zwet, Andrew Gelman, A. Gelman, 2020, The American Statistician.

Correlations and Multiple Comparisons in Functional Imaging: A Statistical Perspective (Commentary on Vul et al., 2009)

A. Gelman, M. Lindquist, 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

Weighting Adjustments for Panel Nonresponse

A. Gelman, S. Galea, F. Norris, 2012 .