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Donald B Rubin
Donald B Rubin
YCMS Tsinghua; Senior Research Fellow at Fox / Temple U, Emeritus at Harvard U
Verifierad e-postadress på temple.edu
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
AP Dempster, NM Laird, DB Rubin
Journal of the royal statistical society: series B (methodological) 39 (1), 1-22, 1977
734301977
The central role of the propensity score in observational studies for causal effects
PR Rosenbaum, DB Rubin
Biometrika 70 (1), 41-55, 1983
389521983
Bayesian data analysis
A Gelman, J Carlin, H Stern, DB Rubin
CRC press, 2004
38804*2004
Statistical analysis with missing data
RJA Little, DB Rubin
John Wiley & Sons, 2019
362182019
Multiple imputation for nonresponse in surveys
DB Rubin
John Wiley & Sons, 2004
292772004
Inference from iterative simulation using multiple sequences
A Gelman, DB Rubin
Statistical science 7 (4), 457-472, 1992
187901992
Inference and missing data
DB Rubin
Biometrika 63 (3), 581-592, 1976
137981976
Estimating causal effects of treatments in randomized and nonrandomized studies.
DB Rubin
Journal of educational Psychology 66 (5), 688, 1974
121421974
Constructing a control group using multivariate matched sampling methods that incorporate the propensity score
PR Rosenbaum, DB Rubin
The American Statistician 39 (1), 33-38, 1985
80651985
Identification of causal effects using instrumental variables
JD Angrist, GW Imbens, DB Rubin
Journal of the American statistical Association 91 (434), 444-455, 1996
78561996
Causal inference in statistics, social, and biomedical sciences
GW Imbens, DB Rubin
Cambridge university press, 2015
61132015
Reducing bias in observational studies using subclassification on the propensity score
PR Rosenbaum, DB Rubin
Journal of the American statistical Association 79 (387), 516-524, 1984
52741984
Multiple imputation after 18+ years
DB Rubin
Journal of the American statistical Association 91 (434), 473-489, 1996
51451996
Testing the number of components in a normal mixture
Y Lo, NR Mendell, DB Rubin
Biometrika 88 (3), 767-778, 2001
49682001
Bayesian inference for causal effects: The role of randomization
DB Rubin
The Annals of statistics, 34-58, 1978
34341978
Estimating causal effects from large data sets using propensity scores
DB Rubin
Annals of internal medicine 127 (8_Part_2), 757-763, 1997
34001997
Comparing correlated correlation coefficients.
XL Meng, R Rosenthal, DB Rubin
Psychological bulletin 111 (1), 172, 1992
29551992
Randomization analysis of experimental data: The Fisher randomization test comment
DB Rubin
Journal of the American statistical association 75 (371), 591-593, 1980
2954*1980
Using propensity scores to help design observational studies: application to the tobacco litigation
DB Rubin
Health Services and Outcomes Research Methodology 2, 169-188, 2001
27292001
Causal inference using potential outcomes: Design, modeling, decisions
DB Rubin
Journal of the American Statistical Association 100 (469), 322-331, 2005
27122005
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Artiklar 1–20