Articoli con mandati relativi all'accesso pubblico - Donald B RubinUlteriori informazioni
Non disponibili pubblicamente: 8
Selection modeling versus mixture modeling with nonignorable nonresponse
RJ Glynn, NM Laird, DB Rubin
Drawing inferences from self-selected samples, 115-142, 2013
Mandati: US National Institutes of Health
Likelihood-based analysis of causal effects of job-training programs using principal stratification
JL Zhang, DB Rubin, F Mealli
Journal of the American Statistical Association 104 (485), 166-176, 2009
Mandati: US National Institutes of Health
Comment: The design and analysis of gold standard randomized experiments
DB Rubin
Journal of the American Statistical Association 103 (484), 1350-1353, 2008
Mandati: US National Institutes of Health
A modified general location model for noncompliance with missing data: Revisiting the New York City School Choice Scholarship Program using principal stratification
H Jin, J Barnard, DB Rubin
Journal of Educational and Behavioral Statistics 35 (2), 154-173, 2010
Mandati: US National Institutes of Health
Using standard tools from finite population sampling to improve causal inference for complex experiments
R Mukerjee, T Dasgupta, DB Rubin
Journal of the American Statistical Association 113 (522), 868-881, 2018
Mandati: US National Science Foundation, Department of Science & Technology, India
Testing treatment effects in unconfounded studies under model misspecification: Logistic regression, discretization, and their combination
MZ Cangul, YR Chretien, R Gutman, DB Rubin
Statistics in medicine 28 (20), 2531-2551, 2009
Mandati: US National Institutes of Health
Analyses that inform policy decisions
R Gutman, DB Rubin
Biometrics 68 (3), 671-675, 2012
Mandati: US National Institutes of Health
Dealing with noncompliance and missing outcomes in a randomized trial using Bayesian technology: Prevention of perinatal sepsis clinical trial, Soweto, South Africa
DB Rubin, ER Zell
Statistical Methodology 7 (3), 338-350, 2010
Mandati: US National Institutes of Health
Disponibili pubblicamente: 34
For objective causal inference, design trumps analysis
DB Rubin
Mandati: US National Institutes of Health
Rerandomization to improve covariate balance in experiments
KL Morgan, DB Rubin
Mandati: US National Institutes of Health
Matching with multiple control groups with adjustment for group differences
EA Stuart, DB Rubin
Journal of Educational and Behavioral Statistics 33 (3), 279-306, 2008
Mandati: US National Institutes of Health
Asymptotic theory of rerandomization in treatment–control experiments
X Li, P Ding, DB Rubin
Proceedings of the National Academy of Sciences 115 (37), 9157-9162, 2018
Mandati: US National Science Foundation, US Department of Defense, US National …
Evaluating the effect of training on wages in the presence of noncompliance, nonemployment, and missing outcome data
P Frumento, F Mealli, B Pacini, DB Rubin
Journal of the American Statistical Association 107 (498), 450-466, 2012
Mandati: US National Institutes of Health
Rerandomization to balance tiers of covariates
KL Morgan, DB Rubin
Journal of the American Statistical Association 110 (512), 1412-1421, 2015
Mandati: US National Institutes of Health
Propensity score methods
DB Rubin
American journal of ophthalmology 149 (1), 7-9, 2010
Mandati: US National Institutes of Health
Reflections stimulated by the comments of Shadish (2010) and West and Thoemmes (2010).
DB Rubin
American Psychological Association 15 (1), 38, 2010
Mandati: US National Institutes of Health
Sensitivity analysis for a partially missing binary outcome in a two‐arm randomized clinical trial
V Liublinska, DB Rubin
Statistics in medicine 33 (24), 4170-4185, 2014
Mandati: US National Institutes of Health
Automatic detection of influential actors in disinformation networks
ST Smith, EK Kao, ED Mackin, DC Shah, O Simek, DB Rubin
Proceedings of the National Academy of Sciences 118 (4), e2011216118, 2021
Mandati: US Department of Defense
Estimation of causal effects of binary treatments in unconfounded studies
R Gutman, DB Rubin
Statistics in medicine 34 (26), 3381-3398, 2015
Mandati: US National Institutes of Health
When possible, report a Fisher-exact P value and display its underlying null randomization distribution
MAC Bind, DB Rubin
Proceedings of the National Academy of Sciences 117 (32), 19151-19158, 2020
Mandati: US National Science Foundation, US National Institutes of Health
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