Donald B Rubin

Donald B Rubin

Temple University

H-index: 139

North America-United States

About Donald B Rubin

Donald B Rubin, With an exceptional h-index of 139 and a recent h-index of 90 (since 2020), a distinguished researcher at Temple University, specializes in the field of Statistics, Economics, Psychology, Biostatistics, Epidemiology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Conditionally Affinely Invariant Rerandomization and its Admissibility

Contrast-specific propensity scores<? pag\hbox {?> for causal<? pag}?> inference with multiple interventions

PCA rerandomization

High-dimensional randomization-based inference capitalizing on classical design and modern computing

Towards more scientific meta-analyses

Correcting Measurement Error Bias in Conjoint Survey Experiments

Bayesian Criterion for Re-randomization

Propensity scores in the design of observational studies for causal effects

Donald B Rubin Information

University

Position

YCMS Tsinghua; Senior Research Fellow at Fox / Emeritus at Harvard U

Citations(all)

393771

Citations(since 2020)

122880

Cited By

340260

hIndex(all)

139

hIndex(since 2020)

90

i10Index(all)

392

i10Index(since 2020)

262

Email

University Profile Page

Temple University

Google Scholar

View Google Scholar Profile

Donald B Rubin Skills & Research Interests

Statistics

Economics

Psychology

Biostatistics

Epidemiology

Top articles of Donald B Rubin

Title

Journal

Author(s)

Publication Date

Conditionally Affinely Invariant Rerandomization and its Admissibility

arXiv preprint arXiv:2402.11336

Zhen Zhong

Donald Rubin

2024/2/17

Contrast-specific propensity scores<? pag\hbox {?> for causal<? pag}?> inference with multiple interventions

Statistical Methods in Medical Research

Shasha Han

Joel Goh

Fanwen Meng

Melvin Khee-Shing Leow

Donald B Rubin

2024/3/18

PCA rerandomization

Canadian Journal of Statistics

Hengtao Zhang

Guosheng Yin

Donald B Rubin

2024/3

High-dimensional randomization-based inference capitalizing on classical design and modern computing

Behaviormetrika

Marie-Abele C Bind

DB Rubin

2023/1

Towards more scientific meta-analyses

arXiv preprint arXiv:2308.13514

Lily H Zhang

Menelaos Konstantinidis

Marie-Abèle Bind

Donald B Rubin

2023/8/25

Correcting Measurement Error Bias in Conjoint Survey Experiments

Katherine Clayton

Yusaku Horiuchi

Aaron R Kaufman

Gary King

Mayya Komisarchik

2023/7

Bayesian Criterion for Re-randomization

arXiv preprint arXiv:2303.07904

Zhaoyang Liu

Tingxuan Han

Donald B Rubin

Ke Deng

2023/3/14

Propensity scores in the design of observational studies for causal effects

Biometrika

PR Rosenbaum

DB Rubin

2023/3/1

Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism

arXiv preprint arXiv:2202.03533

Nicole E Pashley

Kristen B Hunter

Katy McKeough

Donald B Rubin

Tirthankar Dasgupta

2022/2/7

Brief of Empirical Scholars as Amici Curiae in Support of Respondents

Filed with the Supreme Court of the United States in Students for Fair Admissions v. President and Fellows of Harvard College

Ian Ayres

Richard A Berk

Richard RW Brooks

Daniel E Ho

Gary King

...

2022

Comment on the Shigemasu’s article-Sage Statisticians in Social Sciences: Impact of Rubin’s Work

Journal of the Indian Institute of Science

Donald B Rubin

2022/10

Dmitry Arkhangelsky

W Imbens

Donald B Rubin

2022

Counternull sets in randomized experiments

ISEE Conference Abstracts

Marie-Abele Bind

Donald Rubin

2022/9/21

Catalytic priors: Using synthetic data to specify prior distributions in bayesian analysis

arXiv preprint arXiv:2208.14123

Dongming Huang

Feicheng Wang

Donald B Rubin

SC Kou

2022/8/30

System and technique for influence estimation on social media networks using causal inference

2022/7/12

Automatic detection of influential actors in disinformation networks

Proceedings of the National Academy of Sciences

Steven T Smith

Edward K Kao

Erika D Mackin

Danelle C Shah

Olga Simek

...

2021/1/26

The importance of having a conceptual stage when reporting non-randomized studies

Biostatistics & epidemiology

M-AC Bind

DB Rubin

2021/1/2

Contrast-specific propensity scores

Biostatistics & Epidemiology

Shasha Han

Donald B Rubin

2021/1/2

Estimating adjusted risk differences by multiply‐imputing missing control binary potential outcomes following propensity score‐matching

Statistics in Medicine

Peter C Austin

Donald B Rubin

Neal Thomas

2021/11/10

On optimal rerandomization designs

Journal of the Royal Statistical Society Series B: Statistical Methodology

Per Johansson

Donald B Rubin

Mårten Schultzberg

2021/4

See List of Professors in Donald B Rubin University(Temple University)