Donald B. Rubin

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Influence Estimation on Social Media Networks Using Causal Inference

Steven Thomas Smith, Edward K. Kao, Danelle C. Shah, 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).

Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions

Donald B. Rubin, 2003, PKDD.

Modeling accounting for data collection

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Multiple Imputation for Data-Base Construction

Donald B. Rubin, 1988 .

Design and Modeling in Conjoint Analysis with Partial Profiles

Donald B. Rubin, D. Rubin, 2004 .

Essential concepts of causal inference: a remarkable history and an intriguing future

Donald B. Rubin, D. Rubin, 2019, Biostatistics & Epidemiology.

Multiple imputations in sample surveys

Donald B. Rubin, D. Rubin, 1978 .

The Acceptability of Regression Solutions: Another Look at Computational Accuracy

Donald B. Rubin, Albert E. Beaton, John L. Barone, 1976 .

Introduction to Bayesian computation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

THE ACCEPTABILITY OF REGRESSION SOLUTIONS: ANOTHER LOOK AT COMPUTATIONAL ACCURACY

Donald B. Rubin, Albert E. Beaton, John L. Barone, 1972 .

Randomization‐Based Evaluations

Donald B. Rubin, 2008 .

The broad role of multiple imputation in statistical science

Donald B. Rubin, D. Rubin, 2000 .

19 Incomplete Data in Epidemiology and Medical Statistics

Donald B. Rubin, Susanne Rässler, Elizabeth R. Zell, 2007 .

CHAPMAN & HALL/CRC Texts in Statistical Science Series

Hal S. Stern, Jeff Harrison, Donald B. Rubin, 2002 .

Iteratively Reweighted Least Squares

Donald B. Rubin, 2006 .

Missing at Random: What Does it Mean? Draft.

Donald B. Rubin, 1973 .

Nested multiple imputation of NMES via partially incompatible MCMC

Donald B. Rubin, D. Rubin, 2003 .

Connections and challenges

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

Bayesian Inference for Causal Effects: The Role of Randomization

Donald B. Rubin, D. Rubin, 1978 .

Asymptotics and connections to non-Bayesian approaches

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Identification of Causal Effects Using Instrumental Variables: Comment

James J. Heckman, Joshua D. Angrist, Donald B. Rubin, 1996 .

REGULAR ASSIGNMENT MECHANISMS: ANALYSIS

Donald B. Rubin, Guido W. Imbens, D. Rubin, 2015 .

MODEL-BASED ANALYSIS TO IMPROVE THE PERFORMANCE OF ITERATIVE SIMULATIONS

Donald B. Rubin, Chuanhai Liu, D. Rubin, 2002 .

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

Donald B. Rubin, D. Rubin, 1987 .

Comment: Self-Experimentation for Causal Effects

Donald B. Rubin, D. Rubin, 2001 .

Use of Multiple Imputation Models in Medical Device Trials

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

Transporting established insights from classical experimental design, implemented using methods that rely on modern computing to address causal questions in environmental epidemiology

Donald B. Rubin, Marie-Abele Bind, 2016 .

Models for robust inference

David B. Dunson, Aki Vehtari, Hal S. Stern, 1995 .

Complete‐Case and Available‐Case Analysis, Including Weighting Methods

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 2014, Statistical Analysis with Missing Data, Third Edition.

On Lord's Paradox. Program Statistics Research.

Donald B. Rubin, Paul W. Holland, D. Rubin, 1982 .

Causal Inference in Prospective and Retrospective Studies.

Donald B. Rubin, Paul W. Holland, D. Rubin, 1980 .

Using Parameter Expansion to Improve the Performance of the EM Algorithm for Multidimensional IRT Population-Survey Models

Donald B. Rubin, Neal Thomas, 2001 .

Matched Sampling for Causal Effects: FUNDAMENTALS OF PROPENSITY SCORE MATCHING

Donald B. Rubin, 2006 .

An application of Bayesian statistics using sampling/importance resampling for a deceptively simple problem in quality control

Donald B. Rubin, Trivellore E. Raghunathan, 1991 .

Theory of Inference Based on the Likelihood Function

Roderick J. A. Little, Donald B. Rubin, 2014 .

Comparing Within- and Between-Subjects Studies

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1980 .

Assumptions when Analyzing Randomized Experiments with Noncompliance and Missing Outcomes

Donald B. Rubin, Fabrizia Mealli, D. Rubin, 2002, Health Services and Outcomes Research Methodology.

The future of statistics

Donald B. Rubin, 1993 .

Bayesian Inference for Causal Effects

Donald B. Rubin, D. Rubin, 2005 .

Statistical Analysis with Missing Data

Roderick J. A. Little, Donald B. Rubin, Martin G. Gibson, 1988 .

Statistical Matching Using File Concatenation With Adjusted Weights and Multiple Imputations

Donald B. Rubin, D. Rubin, 1986 .

Missing Data and Imputation Methods

Donald B. Rubin, Alessandra Mattei, Fabrizia Mealli, 2011 .

Combining Panel Data Sets with Attrition and Refreshment Samples

Donald B. Rubin, Guido W. Imbens, Geert Ridder, 1998 .

Automatic detection of influential actors in disinformation networks

Edward K. Kao, Danelle C. Shah, Olga Simek, 2020, Proceedings of the National Academy of Sciences.

Some applications of Bayesian statistics to educational data

Donald B. Rubin, D. Rubin, 1983 .

Overview of computation

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

Models for missing data

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Incomplete Data - Encyclopedia Entry.

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 1982 .

The Design of a General and Flexible System for Handling Nonresponse in Sample Surveys

Donald B. Rubin, D. Rubin, 2004 .

A Note on Bayesian, Likelihood, and Sampling Distribution Inferences

Donald B. Rubin, D. Rubin, 1978 .

Studies Teaching Statistical Inference for Causal Effects in Experiments and Observational

Donald B. Rubin, D. Rubin, 2012 .

Multiple-bias modelling for analysis of observational data - Discussion

David J. Spiegelhalter, Donald B. Rubin, Andrew E. Gelman, 2005 .

Simulation Modeling for Cost Estimation

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

BEST PRACTICES IN QUASI- EXPERIMENTAL DESIGNS Matching Methods for Causal Inference

Donald B. Rubin, Elizabeth A. Stuart, D. Rubin, 2007 .

Rubin Causal Model

Donald B. Rubin, L. John, D. Rubin, 2011, International Encyclopedia of Statistical Science.

Performance Assessment and League Tables: Comparing Like with Like

Nicholas T. Longford, Donald B. Rubin, 2007 .

Characterizing the Estimation of Parameters in Incomplete-Data Problems

Donald B. Rubin, D. Rubin, 1974 .

Statistical Inference for Causal Effects

Donald B. Rubin, Fabrizia Mealli, Barbara Pacini, 2011 .

Max-imum Likelihood from Incomplete Data

Donald B. Rubin, Arthur P. Dempster, Nan M. Laird, 1972 .

Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 2002 .

Comment: Assumptions and Procedures in the File Drawer Problem

Donald B. Rubin, Robert Rosenthal, Robert Rosenthal, 1988 .

Inference for General Causal Estimands

Donald B. Rubin, Guido W. Imbens, 2015 .

Model-Based Inference for Completely Randomized Experiments

Donald B. Rubin, Guido W. Imbens, 2015 .

Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions

Donald B. Rubin, D. Rubin, 2003, PKDD.

Hierarchical linear models

David B. Dunson, Aki Vehtari, Hal S. Stern, 1995 .

Large-sample inference and frequency properties of Bayesian inference

Hal S. Stern, Donald B. Rubin, John B. Carlin, 1995 .

Matching methods for causal inference: Designing observational studies

Donald B. Rubin, Elizabeth A. Stuart, D. Rubin, 2007 .

Algorithms for multiple imputation and posterior simulation from incomplete multivariate data with ignorable nonresponse

Donald B. Rubin, Joseph L Schafer, D. Rubin, 1992 .

Computationally efficient Markov chain simulation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Pseudo-Opinion Polls: SLOP or Useful Data?: Statistical Cryptic

Donald B. Rubin, Tom Sawyer, Judith M. Tanur, 1995 .

Multiple Imputation Methods

Donald B. Rubin, Nathaniel Schenker, John Barnard, 2005 .

Bridging Observational Studies and Randomized Experiments by Embedding the Former in the Latter

Donald B. Rubin, Marie-Abele Bind, Marie-Abele Bind, 2018, ISEE Conference Abstracts.

Statistical Analysis with Missing Data

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 1988 .

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.

Donald B. Rubin, D. Rubin, 1989 .

A Bayesian Perspective on the Analysis of Unreplicated Factorial Experiments Using Potential Outcomes

Donald B. Rubin, Tirthankar Dasgupta, Valeria Espinosa, 2016, Technometrics.

The Analysis of Social Science Data with Missing Values

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 1989 .

The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches

Donald B. Rubin, Fabrizia Mealli, Barbara Pacini, 2016, Stat. Anal. Data Min..

Addressing an Idiosyncrasy in Estimating Survival Curves Using Double Sampling in the Presence of Self‐Selected Right Censoring

Donald B. Rubin, Constantine Frangakis, D. Rubin, 2001 .

Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data

Donald B. Rubin, Fabrizia Mealli, Barbara Pacini, 2012 .

Bayesian Data Analysis

David B. Dunson, Aki Vehtari, Hal S. Stern, 2010 .

A Broader Template for Analyzing Broken Randomized Experiments

Jennifer Hill, Donald B. Rubin, John Barnard, 1998 .

Rubin Causal Model

Donald B. Rubin, Guido W. Imbens, D. Rubin, 2011, International Encyclopedia of Statistical Science.

Introduction to multiparameter models

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Special topics in computation

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

A Powerful, Potential Outcomes Method for Estimating Any Estimand across Multiple Groups.

Donald B. Rubin, Elizabeth R. Zell, Cassandra Wolos Pattanayak, 2013 .

Valid and Informative P-Values from Big Data, Illustrated in Environmental Epigenomics

Donald B. Rubin, Marie-Abele Bind, 2018 .

Gaussian process models

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Basics of Markov chain simulation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Evaluating and Using Statistical Methods in the Social Sciences

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

Validation of Software for Bayesian Models Using Posterior Quantiles

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

MISSING DATA IN LARGE DATA SETS

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 1983 .

Model-Based Analysis in Instrumental Variable Settings: Randomized Experiments with Two-Sided Noncompliance

Donald B. Rubin, Guido W. Imbens, 2015 .

Formal modes of statistical inference for causal effects

Donald B. Rubin, D. Rubin, 1990 .

On optimal rerandomization designs

Donald B. Rubin, Per Johansson, Mårten Schultzberg, 2021, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

PCA Rerandomization

Donald B. Rubin, Hengtao Zhang, Guosheng Yin, 2021 .

Affinely Invariant Matching Methods with Ellipsoidal Distributions

Donald B. Rubin, D. Rubin, N. Thomas, 1992 .

More on EM for ML factor analysis

Donald B. Rubin, Dorothy T. Thayer, D. Rubin, 1983 .

Efficient Methods for Estimation and Testing with Seemingly Unrelated Regressions in the Presence of Latent Variables and Missing Observations

Donald B. Rubin, Xiao-Li Meng, Xiao-Li Meng, 1996 .

The Counternull Value of an Effect Size: A New Statistic

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1994 .

Single Imputation Methods

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 2014, Statistical Analysis with Missing Data, Third Edition.

Statistical Issues in the Estimation of the Causal Effects of Smoking Due to the Conduct of the Tobacco Industry

Donald B. Rubin, D. Rubin, 2000 .

Avoiding Model Selection in Bayesian Social Research

Donald B. Rubin, Andrew Gelman, D. Rubin, 1995 .

Characterizing the effect of matching using linear propensity score methods with normal distributions

Donald B. Rubin, D. Rubin, N. Thomas, 1992 .

A stimulation study to evaluate the performance of model-based multiple imputations in HCHS health examination surveys

Roderick J. A. Little, Donald B. Rubin, Joseph L Schafer, 1995 .

Rejoinder to discussions on clustered encouragement designs with individual noncompliance: Bayesian inference with randomization, and application to advance directive forms

Donald B. Rubin, Xiao-Hua Zhou, Constantine Frangakis, 2002 .

Basic Concepts of Statistical Inference for Causal Effects in Experiments and Observational Studies

Donald B. Rubin, D. Rubin, 2004 .

Affinely invariant matching methods with discriminant mixtures of proportional ellipsoidally symmetric distributions

Donald B. Rubin, Elizabeth A. Stuart, D. Rubin, 2006, math/0611263.

Discussion of “Estimation of Intervention Effects with Noncompliance: Alternative Model Specifications” by Booil Jo

Donald B. Rubin, Fabrizia Mealli, D. Rubin, 2002 .

Selection modelling versus mixture modelling with nonignorable nonresponse

Donald B. Rubin, Nan M. Laird, Robert J. Glynn, 1986 .

The Calculation of the Posterior Distribution of the Cell Means in a Two‐Way Unbalanced Manova

Donald B. Rubin, D. Rubin, T. W. F. Stroud, 1977 .

A Non‐Iterative Algorithm for Least Squares Estimation of Missing Values in Any Analysis of Variance Design

Donald B. Rubin, D. Rubin, 1972 .

Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Death”

Donald B. Rubin, D. Rubin, Junni L. Zhang, 2003 .

USING MULTIVARIATE MATCHED SAMPLING AND REGRESSION ADJUSTMENT TO CONTROL BIAS IN OBSERVATIONAL STUDIES

Donald B. Rubin, 1978 .

Statistical Analysis with Missing Data

Robert J. Mislevy, Roderick J. A. Little, Donald B. Rubin, 1991 .

‘Clarifying missing at random and related definitions, and implications when coupled with exchangeability’

Donald B. Rubin, Fabrizia Mealli, D. Rubin, 2015 .

Modeling monotone nonlinear disease progression and checking the correctness of the associated software

Donald B. Rubin, Samantha R. Cook, 2004 .

Maximum-Likelihood Estimation in Panel Studies with Missing Data

Donald B. Rubin, Anthony R. Olsen, D. Rubin, 1980 .

Matched Sampling for Causal Effects: Estimating Causal Effects from Large Data Sets Using Propensity Scores

Donald B. Rubin, 2006 .

Statistical Analysis with Missing Data

Roderick J. A. Little, Donald B. Rubin, N. Bo., 1988 .

[Practical Markov Chain Monte Carlo]: Rejoinder: Replication without Contrition

Donald B. Rubin, Andrew Gelman, 1992 .

Discussion of “on State Education Statistics”: A Difficulty with Regression Analyses of Regional Test Score Averages

Donald B. Rubin, Paul R. Rosenbaum, D. Rubin, 1985 .

On Variance Estimation With Imputed Survey Data: Comment

Donald B. Rubin, J. N. K. Rao, D. R. Judkins, 1996 .

Ensemble-Adjusted p Values

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1983 .

Estimation of the causal effect of a time-varying exposure on the marginal mean of a repeated binary outcome. Commentary. Authors' reply

James M. Robins, Donald B. Rubin, L. Wasserman, 1999 .

Rounding Error in Regression: The Appropriateness of Sheppard's Corrections,

Donald B. Rubin, Arthur P. Dempster, D. Rubin, 1983 .

Using Mixture Models in Temperament Research

Hal S. Stern, Donald B. Rubin, Jerome Kagan, 1995 .

A Potential Outcomes View of Value-Added Assessment in Education

Donald B. Rubin, Elizabeth A. Stuart, Elaine L. Zanutto, 2004 .

Sensitivity of Bayes Inference with Data-Dependent Stopping Rules

Donald B. Rubin, Paul R. Rosenbaum, D. Rubin, 1984 .

Causal inference from 2K factorial designs by using potential outcomes

Tirthankar Dasgupta, Donald B. Rubin, Natesh S. Pillai, 2015 .

Causal inference for ordinal outcomes

Edoardo M. Airoldi, Donald B. Rubin, Alexander Volfovsky, 2015 .

Bayes and Multiple Imputation

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 2014, Statistical Analysis with Missing Data, Third Edition.

Matching with Multiple Control Groups , and Adjusting for Group Differences

Donald B. Rubin, D. Rubin, 2005 .

Public Schools Versus Private Schools: Causal Inference With Partial Compliance

Donald B. Rubin, D. Rubin, Hui Jin, 2009 .

Comment: Assessing the Fit of Logistic Regressions Using the Implied Discriminant Analysis

Donald B. Rubin, D. Rubin, 1984 .

Comment : Neyman ( 1923 ) and Causal Inference in Experiments and Observational Studies

Donald B. Rubin, D. Rubin, 2007 .

Multiple imputation in mixture models for nonignorable nonresponse with follow-ups

Donald B. Rubin, Nan M. Laird, Robert J. Glynn, 1993 .

Incomplete data in sample surveys

Ingram Olkin, Donald B. Rubin, William G. Madow, 1985 .

Further meta-analytic procedures for assessing cognitive gender differences.

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1982 .

A Simple, General Purpose Display of Magnitude of Experimental Effect

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1982 .

A COMPARISON OF IMPUTATION TECHNIQUES IN THE THIRD NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY

Roderick J. A. Little, Donald B. Rubin, Meena Khare, 2002 .

Multiple Imputation by Ordered Monotone Blocks With Application to the Anthrax Vaccine Research Program

Donald B. Rubin, Fan Li, Fabrizia Mealli, 2014 .

Matched Sampling for Causal Effects: William G. Cochran's Contributions to the Design, Analysis, and Evaluation of Observational Studies

Donald B. Rubin, D. Rubin, 2006 .

Logit-Based Interval Estimation for Binomial Data Using the Jeffreys Prior

Donald B. Rubin, Nathaniel Schenker, D. Rubin, 1987 .

EM and beyond

Donald B. Rubin, D. Rubin, 1991 .

Comment: EM for PET

Donald B. Rubin, 1985 .

MISSING AT RANDOM - WHAT DOES IT MEAN?

Donald B. Rubin, D. Rubin, 1973 .

THE EFFECTIVENESS OF COACHING FOR THE SAT: REVIEW AND REANALYSIS OF RESEARCH FROM THE FIFTIES TO THE FTC

Donald A. Rock, Donald B. Rubin, William H. Angoff, 1980 .

Selection Modeling Versus Mixture Modeling with Nonignorable Nonresponse

Donald B. Rubin, Nan M. Laird, Robert J. Glynn, 1986 .

Algorithm AS 120: A Fortran Algorithm for the Additive Model in a Two-Way Unbalanced Manova

Donald B. Rubin, Dorothy T. Thayer, D. Rubin, 1978 .

Finding maximum likelihood estimates of patterned covariance matrices by the EM algorithm

Donald B. Rubin, Ted H. Szatrowski, D. Rubin, 1982 .

A Case Study of the Robustness of Bayesian Methods of Inference: Estimating the Total in a Finite Population Using Transformations to Normality

Donald B. Rubin, D. Rubin, 1983 .

Matched Sampling for Causal Effects: Matched Sampling for Causal Effects

Donald B. Rubin, 2006 .

Measurement Error and Regression to the Mean in Matched Samples

Donald B. Rubin, Robert P. Althauser, 1971 .

Relating tests given to different samples

Donald B. Rubin, Dorothy T. Thayer, D. Rubin, 1978 .

Multivariate matching methods that are equal percent bias reducing

Donald B. Rubin, D. Rubin, 1974 .

MULTIVARIATE MATCHING METHODS THAT ARE EQUAL PERCENT BIAS REDUCING, I: SOME EXAMPLES

Donald B. Rubin, D. Rubin, 1974 .

In Utero Exposure to Phenobarbitol and Intelligence Deficits in Adult Men

Donald B. Rubin, Stephanie A. Sanders, Erik Lykke Mortensen, 1996 .

Significance levels from repeated p-values with multiply imputed data

Donald B. Rubin, Xiao-Li Meng, Xiao-Li Meng, 1991 .

Multiple Imputation of Industry and Occupation Codes in Census Public-use Samples Using Bayesian Logistic Regression

Donald B. Rubin, Nathaniel Schenker, Clifford C. Clogg, 1991 .

Performing likelihood ratio tests with multiply-imputed data sets

Donald B. Rubin, Xiao-Li Meng, Xiao-Li Meng, 1992 .

Comment: Dose-Response Estimands

Donald B. Rubin, D. Rubin, 1991 .

A Note on Percent Variance Explained as A Measure of the Importance of Effects

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1979 .

Noniterative Least Squares Estimates, Standard Errors and F‐Tests for Analyses of Variance with Missing Data

Donald B. Rubin, D. Rubin, 1976 .

MULTIVARIATE MATCHING METHODS THAT ARE EQUAL PERCENT BIAS REDUCING, I: SOME EXAMPLES

Donald B. Rubin, D. Rubin, 1974 .

Using Empirical Bayes Techniques in the Law School Validity Studies

Donald B. Rubin, D. Rubin, 1980 .

Reliability of measurement in psychology: From Spearman-Brown to maximal reliability.

Donald B. Rubin, Heng Li, Robert Rosenthal, 1996 .

Measuring the Appropriateness of Multiple-Choice Test Scores

Donald B. Rubin, Michael V. Levine, Michael V. LeVine, 1979 .

On estimating the causal effects of DNR orders.

Donald B. Rubin, D. Rubin, M. McIntosh, 1999, Medical Care.

Estimating the Causal Effects of Marketing Interventions Using Propensity Score Methodology

Donald B. Rubin, Richard P. Waterman, 2006 .

Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification

Donald B. Rubin, Fabrizia Mealli, D. Rubin, 2009 .

The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles.

Donald B. Rubin, Nageswari Rajaratnam, Lee J. Cronbach, 1974 .

Comparing Regressions When Some Predictor Values Are Missing

Donald B. Rubin, D. Rubin, 1976 .

Multivariate matching methods that are equal percent bias reducing

Donald B. Rubin, D. Rubin, 1974 .

Bayesianly Justifiable and Relevant Frequency Calculations for the Applies Statistician Author(s)

Donald B. Rubin, 2007 .

Matching With Multiple Control Groups With Adjustment for Group Differences

Donald B. Rubin, Elizabeth A. Stuart, D. Rubin, 2008 .

Interpersonal expectancy effects: the first 345 studies

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1978, Behavioral and Brain Sciences.

AN OVERVIEW OF MULTIPLE IMPUTATION

Donald B. Rubin, D. Rubin, 2002 .

Projecting From Advance Data Using Propensity Modeling: An Application to Income and Tax Statistics

Roderick J. A. Little, Donald B. Rubin, John L. Czajka, 1992 .

Issues in summarizing the first 345 studies of interpersonal expectancy effects

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1978, Behavioral and Brain Sciences.

Dealing with noncompliance and missing outcomes in a randomized trial using Bayesian technology: Prevention of perinatal sepsis clinical trial, Soweto, South Africa

Donald B. Rubin, Elizabeth R. Zell, D. Rubin, 2010 .

Mixed Normal and Non‐Normal Data with Missing Values, Ignoring the Missing‐Data Mechanism

Roderick J. A. Little, Donald B. Rubin, 2014 .

Empirical bayes estimation of coefficients in the general linear model from data of deficient rank

Donald B. Rubin, Dorothy T. Thayer, Douglas H. Jones, 1983 .

The Computerized Construction of a Matched Sample

Donald B. Rubin, Robert P. Althauser, D. Rubin, 1970, American Journal of Sociology.

On Variance Estimation With Imputed Survey Data: Rejoinder

Donald B. Rubin, 1996 .

Rumor and Gossip Research

Donald B. Rubin, Robert Rosenthal, Eric K. Foster, 2005 .

Comment: The Design and Analysis of Gold Standard Randomized Experiments

Donald B. Rubin, D. Rubin, 2008 .

Efficiently Simulating the Coverage Properties of Interval Estimates

Donald B. Rubin, Nathaniel Schenker, D. Rubin, 1986 .

The Calculation of Posterior Distributions by Data Augmentation: Comment

Donald B. Rubin, C. N. Morris, Martin A. Tanner, 1987 .

Comparing Significance Levels of Independent Studies

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1979 .

Asymptotic theory of rerandomization in treatment–control experiments

Donald B. Rubin, Peng Ding, Xinran Li, 2016, Proceedings of the National Academy of Sciences.

The practical importance of understanding placebo effects and their role when approving drugs and recommending doses for medical practice

Donald B. Rubin, D. Rubin, 2019, Behaviormetrika.

Relating tests given to different samples

Donald B. Rubin, Dorothy Thayer, 1978 .

Principal Stratification Approach to Broken Randomized Experiments

Donald B. Rubin, John Barnard, Jennifer Hill, 2003 .

Meta-Analytic Procedures for Combining Studies With Multiple Effect Sizes

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1986 .

Multiple Contrasts and Ordered Bonferroni Procedures

Donald B. Rubin, Robert Rosenthal, D. Rubin, 1984 .

Evaluating the Validity of Post-Hoc Subgroup Inferences: A Case Study

Donald B. Rubin, D. Rubin, Joseph J Lee, 2016 .

Working Memory Impairments in Schizophrenia Patients: A Bayesian Bivariate IRT Analysis

Yungtai Lo, Donald B. Rubin, Deborah L. Levy, 2002 .

More on Computational Accuracy in Regression: Comment

Donald B. Rubin, Albert E. Beaton, John L. Barone, 1977 .

Conditions for Ignoring the Missing-Data Mechanism in Likelihood Inferences for Parameter Subsets

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 2017 .

Inference from Coarse Data via Multiple Imputation with Application to Age Heaping

Donald B. Rubin, Daniel F. Heitjan, D. Rubin, 1990 .

The NHANES III multiple imputation project

Roderick J. A. Little, Donald B. Rubin, Joseph L Schafer, 1996 .

EFFECT OF INCREASED TEST‐TAKING TIME ON TEST SCORES BY ETHNIC GROUP, YEARS OUT OF SCHOOL, AND SEX

Donald B. Rubin, Robert A. Durso, Cheryl L. Wild, 1982 .

THE VARIANCE OF A LINEAR COMBINATION OF INDEPENDENT ESTIMATORS USING ESTIMATED WEIGHTS

Donald B. Rubin, Sanford Weisberg, D. Rubin, 1974 .

Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models: Comment

Roderick J. A. Little, Donald B. Rubin, D. Rubin, 1999 .