| Year |
Citation |
Score |
| 2020 |
Huang D, Stein N, Rubin DB, Kou SC. Catalytic prior distributions with application to generalized linear models. Proceedings of the National Academy of Sciences of the United States of America. PMID 32414914 DOI: 10.1073/Pnas.1920913117 |
0.396 |
|
| 2019 |
Bojinov II, Pillai NS, Rubin DB. Diagnosing missing always at random in multivariate data Biometrika. 107: 246-253. DOI: 10.1093/Biomet/Asz061 |
0.419 |
|
| 2018 |
Austin PC, Thomas N, Rubin DB. Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes. Statistical Methods in Medical Research. 962280218817926. PMID 30569832 DOI: 10.1177/0962280218817926 |
0.397 |
|
| 2018 |
Li X, Ding P, Rubin DB. Asymptotic theory of rerandomization in treatment-control experiments. Proceedings of the National Academy of Sciences of the United States of America. PMID 30150408 DOI: 10.1073/Pnas.1808191115 |
0.401 |
|
| 2018 |
Mukerjee R, Dasgupta T, Rubin DB. Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments Journal of the American Statistical Association. 113: 868-881. DOI: 10.1080/01621459.2017.1294076 |
0.365 |
|
| 2017 |
Bind MC, Rubin DB. Bridging observational studies and randomized experiments by embedding the former in the latter. Statistical Methods in Medical Research. 962280217740609. PMID 29187059 DOI: 10.1177/0962280217740609 |
0.392 |
|
| 2017 |
George BJ, Li P, Lieberman HR, Pavela G, Brown AW, Fontaine KR, Jeansonne MM, Dutton GR, Idigo AJ, Parman MA, Rubin DB, Allison DB. Randomization to Randomization Probability: Estimating Treatment Effects Under Actual Conditions of Use. Psychological Methods. PMID 28406674 DOI: 10.1037/Met0000138 |
0.372 |
|
| 2017 |
Walicke P, Abosch A, Asher A, Barker FG, Ghogawala Z, Harbaugh R, Jehi L, Kestle J, Koroshetz W, Little R, Rubin D, Valadka A, Wisniewski S, Chiocca EA. Launching Effectiveness Research to Guide Practice in Neurosurgery: A National Institute Neurological Disorders and Stroke Workshop Report. Neurosurgery. 80: 505-514. PMID 28362926 DOI: 10.1093/Neuros/Nyw133 |
0.315 |
|
| 2017 |
Loong B, Rubin DB. Multiply-Imputed Synthetic Data: Advice to the Imputer Journal of Official Statistics. 33: 1005-1019. DOI: 10.1515/Jos-2017-0047 |
0.777 |
|
| 2017 |
Little RJ, Rubin DB, Zangeneh SZ. Conditions for Ignoring the Missing-Data Mechanism in Likelihood Inferences for Parameter Subsets Journal of the American Statistical Association. 112: 314-320. DOI: 10.1080/01621459.2015.1136826 |
0.352 |
|
| 2016 |
Rubin DB, Loeb JL. Fisher, Neyman, and Bayes at FDA. Journal of Biopharmaceutical Statistics. PMID 27611988 DOI: 10.1080/10543406.2016.1226333 |
0.32 |
|
| 2016 |
Espinosa V, Dasgupta T, Rubin DB. A Bayesian Perspective on the Analysis of Unreplicated Factorial Experiments Using Potential Outcomes Technometrics. 58: 62-73. DOI: 10.1080/00401706.2015.1006337 |
0.64 |
|
| 2016 |
Lee JJ, Rubin DB. Evaluating the Validity of Post-Hoc Subgroup Inferences: A Case Study American Statistician. 70: 39-46. DOI: 10.1080/00031305.2015.1093961 |
0.416 |
|
| 2016 |
Frumento P, Mealli F, Pacini B, Rubin DB. The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches Statistical Analysis and Data Mining. 9: 58-70. DOI: 10.1002/Sam.11299 |
0.369 |
|
| 2015 |
Morgan KL, Rubin DB. Rerandomization to Balance Tiers of Covariates. Journal of the American Statistical Association. 110: 1412-1421. PMID 27695149 DOI: 10.1080/01621459.2015.1079528 |
0.38 |
|
| 2015 |
O'Keefe CM, Rubin DB. Individual privacy versus public good: Protecting confidentiality in health research. Statistics in Medicine. PMID 26045214 DOI: 10.1002/Sim.6543 |
0.319 |
|
| 2015 |
Gutman R, Rubin DB. Estimation of causal effects of binary treatments in unconfounded studies. Statistics in Medicine. PMID 26013308 DOI: 10.1002/Sim.6532 |
0.618 |
|
| 2015 |
Lee JJ, Rubin DB. Valid randomization-based p-values for partially post hoc subgroup analyses. Statistics in Medicine. PMID 25959735 DOI: 10.1002/Sim.6531 |
0.378 |
|
| 2015 |
Gutman R, Rubin D. Estimation of causal effects of binary treatments in unconfounded studies with one continuous covariate. Statistical Methods in Medical Research. PMID 25715391 DOI: 10.1177/0962280215570722 |
0.619 |
|
| 2015 |
Dasgupta T, Pillai NS, Rubin DB. Causal inference from 2K factorial designs by using potential outcomes Journal of the Royal Statistical Society. Series B: Statistical Methodology. 77: 727-753. DOI: 10.1111/Rssb.12085 |
0.404 |
|
| 2015 |
Mealli F, Rubin DB. Clarifying missing at random and related definitions, and implications when coupled with exchangeability Biometrika. 102: 995-1000. DOI: 10.1093/Biomet/Asv035 |
0.367 |
|
| 2015 |
Espinosa V, Rubin DB. Did the Military Interventions in the Mexican Drug War Increase Violence? American Statistician. 69: 17-27. DOI: 10.1080/00031305.2014.965796 |
0.601 |
|
| 2014 |
Liublinska V, Rubin DB. Sensitivity analysis for a partially missing binary outcome in a two-arm randomized clinical trial. Statistics in Medicine. 33: 4170-85. PMID 24845086 DOI: 10.1002/Sim.6197 |
0.777 |
|
| 2014 |
Morgan CJ, Lenzenweger MF, Rubin DB, Levy DL. A hierarchical finite mixture model that accommodates zero-inflated counts, non-independence, and heterogeneity. Statistics in Medicine. 33: 2238-50. PMID 24443287 DOI: 10.1002/Sim.6091 |
0.565 |
|
| 2014 |
Sabbaghi A, Rubin DB. Comments on the Neyman-Fisher controversy and its consequences Statistical Science. 29: 267-284. DOI: 10.1214/13-Sts454 |
0.713 |
|
| 2014 |
Li F, Baccini M, Mealli F, Zell ER, Frangakis CE, Rubin DB. Multiple Imputation by Ordered Monotone Blocks With Application to the Anthrax Vaccine Research Program Journal of Computational and Graphical Statistics. 23: 877-892. DOI: 10.1080/10618600.2013.826583 |
0.329 |
|
| 2013 |
Gutman R, Rubin DB. Robust estimation of causal effects of binary treatments in unconfounded studies with dichotomous outcomes. Statistics in Medicine. 32: 1795-814. PMID 23019093 DOI: 10.1002/Sim.5627 |
0.599 |
|
| 2012 |
Liublinska V, Rubin DB. Re: "dealing with missing outcome data in randomized trials and observational studies". American Journal of Epidemiology. 176: 357-8; author reply . PMID 22850795 DOI: 10.1093/Aje/Kws215 |
0.768 |
|
| 2012 |
Gutman R, Rubin DB. Analyses that inform policy decisions. Biometrics. 68: 671-5; discussion 68. PMID 22455379 DOI: 10.1111/J.1541-0420.2011.01732.X |
0.468 |
|
| 2012 |
Morgan KL, Rubin DB. Rerandomization to improve covariate balance in experiments Annals of Statistics. 40: 1263-1282. DOI: 10.1214/12-Aos1008 |
0.4 |
|
| 2012 |
Frumento P, Mealli F, Pacini B, Rubin DB. Evaluating the effect of training on wages in the presence of noncompliance, nonemployment, and missing outcome data Journal of the American Statistical Association. 107: 450-466. DOI: 10.1080/01621459.2011.643719 |
0.402 |
|
| 2011 |
Pattanayak CW, Rubin DB, Zell ER. [Propensity score methods for creating covariate balance in observational studies]. Revista EspañOla De CardiologíA. 64: 897-903. PMID 21872981 DOI: 10.1016/J.Recesp.2011.06.008 |
0.785 |
|
| 2011 |
Greiner DJ, Rubin DB. Causal effects of perceived immutable characteristics Review of Economics and Statistics. 93: 775-785. DOI: 10.1162/Rest_A_00110 |
0.332 |
|
| 2011 |
Ho DE, Rubin DB. Credible causal inference for empirical legal studies Annual Review of Law and Social Science. 7: 17-40. DOI: 10.1146/Annurev-Lawsocsci-102510-105423 |
0.389 |
|
| 2010 |
Jin H, Barnard J, Rubin DB. A modified general location model for noncompliance with missing data: Revisiting the New York City School Choice Scholarship Program using principal stratification Journal of Educational and Behavioral Statistics. 35: 154-173. DOI: 10.3102/1076998609346968 |
0.495 |
|
| 2010 |
Rubin DB, Zell ER. Dealing with noncompliance and missing outcomes in a randomized trial using Bayesian technology: Prevention of perinatal sepsis clinical trial, Soweto, South Africa Statistical Methodology. 7: 338-350. DOI: 10.1016/J.Stamet.2009.10.001 |
0.344 |
|
| 2009 |
Cangul MZ, Chretien YR, Gutman R, Rubin DB. Testing treatment effects in unconfounded studies under model misspecification: logistic regression, discretization, and their combination. Statistics in Medicine. 28: 2531-51. PMID 19572258 DOI: 10.1002/Sim.3633 |
0.686 |
|
| 2009 |
Jin H, Rubin DB. Public schools versus private schools: Causal inference with partial compliance Journal of Educational and Behavioral Statistics. 34: 24-45. DOI: 10.3102/1076998607307475 |
0.404 |
|
| 2009 |
Zhang JL, Rubin DB, Mealli F. Likelihood-based analysis of causal effects of job-training programs using principal stratification Journal of the American Statistical Association. 104: 166-176. DOI: 10.1198/Jasa.2009.0012 |
0.477 |
|
| 2009 |
Rubin DB. Should observational studies be designed to allow lack of balance in covariate distributions across treatment groups? Statistics in Medicine. 28: 1420-1423. DOI: 10.1002/Sim.3565 |
0.301 |
|
| 2008 |
Stuart EA, Rubin DB. Matching with multiple control groups with adjustment for group differences Journal of Educational and Behavioral Statistics. 33: 279-306. DOI: 10.3102/1076998607306078 |
0.499 |
|
| 2008 |
Rubin DB. For objective causal inference, design trumps analysis Annals of Applied Statistics. 2: 808-840. DOI: 10.1214/08-Aoas187 |
0.425 |
|
| 2008 |
Jin H, Rubin DB. Principal stratification for causal inference with extended partial compliance Journal of the American Statistical Association. 103: 101-111. DOI: 10.1198/016214507000000347 |
0.453 |
|
| 2007 |
Frangakis CE, Rubin DB, An MW, MacKenzie E. Principal stratification designs to estimate input data missing due to death. Biometrics. 63: 641-9; discussion 65. PMID 17824995 DOI: 10.1111/J.1541-0420.2007.00847_1.X |
0.362 |
|
| 2007 |
Rubin DB. The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials. Statistics in Medicine. 26: 20-36. PMID 17072897 DOI: 10.1002/Sim.2739 |
0.403 |
|
| 2007 |
Rubin DB. Discussion on Multiple Imputation International Statistical Review. 71: 619-625. DOI: 10.1111/J.1751-5823.2003.Tb00216.X |
0.305 |
|
| 2007 |
Rässler S, Rubin DB, Zell ER. 19 Incomplete Data in Epidemiology and Medical Statistics Handbook of Statistics. 27: 569-601. DOI: 10.1016/S0169-7161(07)27019-1 |
0.422 |
|
| 2007 |
Rubin DB. 2 Statistical Inference for Causal Effects, With Emphasis on Applications in Epidemiology and Medical Statistics Handbook of Statistics. 27: 28-63. DOI: 10.1016/S0169-7161(07)27002-6 |
0.355 |
|
| 2006 |
Yin L, Sundberg R, Wang X, Rubin DB. Control of confounding through secondary samples. Statistics in Medicine. 25: 3814-25. PMID 16397862 DOI: 10.1002/Sim.2468 |
0.321 |
|
| 2006 |
Rubin DB. Assignment to treatment group on the basis of a covariate Matched Sampling For Causal Effects. 99-114. DOI: 10.3102/10769986002001001 |
0.332 |
|
| 2006 |
Rubin DB, Waterman RP. Estimating the causal effects of marketing interventions using propensity score methodology Statistical Science. 21: 206-222. DOI: 10.1214/088342306000000259 |
0.389 |
|
| 2006 |
Rubin DB. Causal inference through potential outcomes and principal stratification: Application to studies with "censoring" due to death Statistical Science. 21: 299-309. DOI: 10.1214/088342306000000114 |
0.38 |
|
| 2006 |
Rubin DB, Stuart EA. Affinely invariant matching methods with discriminant mixtures of proportional ellipsoidally symmetric distributions Annals of Statistics. 34: 1814-1826. DOI: 10.1214/009053606000000407 |
0.506 |
|
| 2006 |
Cook SR, Gelman A, Rubin DB. Validation of software for Bayesian models using posterior quantiles Journal of Computational and Graphical Statistics. 15: 675-692. DOI: 10.1198/106186006X136976 |
0.506 |
|
| 2006 |
Van Buuren S, Brand JPL, Groothuis-Oudshoorn CGM, Rubin DB. Fully conditional specification in multivariate imputation Journal of Statistical Computation and Simulation. 76: 1049-1064. DOI: 10.1080/10629360600810434 |
0.409 |
|
| 2006 |
Rubin DB. Using propensity scores to help design observational studies: Application to the tobacco litigation Matched Sampling For Causal Effects. 365-382. DOI: 10.1023/A:1020363010465 |
0.431 |
|
| 2006 |
Rubin DB. The use of matched sampling and regression adjustment to remove bias in observational studies Matched Sampling For Causal Effects. 81-98. DOI: 10.1017/Cbo9780511810725.008 |
0.376 |
|
| 2006 |
Rubin DB. Matching to remove bias in observational studies Matched Sampling For Causal Effects. 62-80. DOI: 10.1017/Cbo9780511810725.007 |
0.33 |
|
| 2006 |
Cochran WG, Rubin DB. Controlling bias in observational studies: A review Matched Sampling For Causal Effects. 30-58. DOI: 10.1017/CBO9780511810725.005 |
0.525 |
|
| 2006 |
Rubin DB. 24 Statistical Inference for Causal Effects, with Emphasis on Applications in Psychometrics and Education Handbook of Statistics. 26: 769-800. DOI: 10.1016/S0169-7161(06)26024-3 |
0.318 |
|
| 2006 |
Rubin DB. Conceptual, computational and inferential benefits of the missing data perspective in applied and theoretical statistical problems Allgemeines Statistisches Archiv. 90: 501-513. DOI: 10.1007/S10182-006-0004-Z |
0.331 |
|
| 2006 |
Rubin DB. Using multivariate matched sampling and regression adjustment to control bias in observational studies Matched Sampling For Causal Effects. 142-159. DOI: 10.1002/J.2333-8504.1978.Tb01163.X |
0.342 |
|
| 2005 |
Rubin DB. Causal inference using potential outcomes: Design, modeling, decisions Journal of the American Statistical Association. 100: 322-331. DOI: 10.1198/016214504000001880 |
0.353 |
|
| 2005 |
Alderson (Moderator) NE, Campbell G, D'Agostino R, Ellenberg S, Lindborg S, O'Neill R, Rubin D, Siegel J. Statistical issues: a roundtable discussion Clinical Trials: Journal of the Society For Clinical Trials. 2: 364-372. DOI: 10.1191/1740774505Cn107Oa |
0.41 |
|
| 2005 |
Rubin DB. Bayesian Inference for Causal Effects Handbook of Statistics. 25: 1-16. DOI: 10.1016/S0169-7161(05)25001-0 |
0.344 |
|
| 2004 |
Rubin DB. Teaching Statistical Inference for Causal Effects in Experiments and Observational Studies Journal of Educational and Behavioral Statistics. 29: 343-367. DOI: 10.3102/10769986029003343 |
0.305 |
|
| 2004 |
Rubin DB, Stuart EA, Zanutto EL. A Potential Outcomes View of Value-Added Assessment in Education Journal of Educational and Behavioral Statistics. 29: 103-116. DOI: 10.3102/10769986029001103 |
0.473 |
|
| 2004 |
Rubin DB. The Design of a General and Flexible System for Handling Nonresponse in Sample Surveys The American Statistician. 58: 298-302. DOI: 10.1198/000313004X6355 |
0.339 |
|
| 2004 |
Rubin DB. Direct and Indirect Causal Effects via Potential Outcomes* Scandinavian Journal of Statistics. 31: 161-170. DOI: 10.1111/J.1467-9469.2004.02-123.X |
0.335 |
|
| 2003 |
Rosenthal R, Rubin DB. r equivalent: A simple effect size indicator. Psychological Methods. 8: 492-6. PMID 14664684 DOI: 10.1037/1082-989X.8.4.492 |
0.327 |
|
| 2003 |
Lenzenweger MF, Jensen ST, Rubin DB. Finding the "genuine" schizotype: a model and method for resolving heterogeneity in performance on laboratory measures in experimental psychopathology research. Journal of Abnormal Psychology. 112: 457-68. PMID 12943024 DOI: 10.1037/0021-843X.112.3.457 |
0.305 |
|
| 2003 |
Zhang JL, Rubin DB. Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Death” Journal of Educational and Behavioral Statistics. 28: 353-368. DOI: 10.3102/10769986028004353 |
0.535 |
|
| 2003 |
Rubin DB. Nested multiple imputation of NMES via partially incompatible MCMC Statistica Neerlandica. 57: 3-18. DOI: 10.1111/1467-9574.00217 |
0.315 |
|
| 2003 |
Mealli F, Rubin DB. Assumptions allowing the estimation of direct causal effects Journal of Econometrics. 112: 79-87. DOI: 10.1016/S0304-4076(02)00150-1 |
0.336 |
|
| 2002 |
Rubin DB. The ethics of consulting for the tobacco industry. Statistical Methods in Medical Research. 11: 373-80. PMID 12357584 DOI: 10.1191/0962280202Sm297Ra |
0.32 |
|
| 2002 |
Lo Y, Matthysse S, Rubin DB, Holzman PS. Permutation tests for detecting and estimating mixtures in task performance within groups. Statistics in Medicine. 21: 1937-53. PMID 12111898 DOI: 10.1002/Sim.1140 |
0.319 |
|
| 2002 |
Frangakis CE, Rubin DB. Principal stratification in causal inference. Biometrics. 58: 21-9. PMID 11890317 DOI: 10.1111/J.0006-341X.2002.00021.X |
0.359 |
|
| 2002 |
Mealli F, Rubin DB. Discussion of “Estimation of Intervention Effects with Noncompliance: Alternative Model Specifications” by Booil Jo Journal of Educational and Behavioral Statistics. 27: 411-415. DOI: 10.3102/10769986027004411 |
0.359 |
|
| 2002 |
Mealli F, Rubin DB. Assumptions when analyzing randomized experiments with noncompliance and missing outcomes Health Services and Outcomes Research Methodology. 3: 225-232. DOI: 10.1023/A:1025802028890 |
0.41 |
|
| 2001 |
Frangakis CE, Rubin DB. Addressing an idiosyncrasy in estimating survival curves using double sampling in the presence of self-selected right censoring. Biometrics. 57: 333-42. PMID 11414553 DOI: 10.1111/J.0006-341X.2001.00333.X |
0.397 |
|
| 2001 |
Hopke PK, Liu C, Rubin DB. Multiple imputation for multivariate data with missing and below-threshold measurements: time-series concentrations of pollutants in the Arctic. Biometrics. 57: 22-33. PMID 11252602 DOI: 10.1111/J.0006-341X.2001.00022.X |
0.376 |
|
| 2001 |
Imbens GW, Rubin DB, Sacerdote BI. Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players The American Economic Review. 91: 778-794. DOI: 10.1257/Aer.91.4.778 |
0.304 |
|
| 2001 |
Larsen MD, Rubin DB. Iterative Automated Record Linkage Using Mixture Models Journal of the American Statistical Association. 96: 32-41. DOI: 10.1198/016214501750332956 |
0.366 |
|
| 2001 |
Frangakis CE, Rubin DB. Rejoinder to Discussions on Addressing an Idiosyncrasy in Estimating Survival Curves Using Double Sampling in the Presence of Self-Selected Right Censoring Biometrics. 57: 351-353. DOI: 10.1111/J.0006-341X.2001.00351.X |
0.37 |
|
| 2001 |
Hirano K, Imbens GW, Ridder G, Rubin DB. Combining Panel Data Sets with Attrition and Refreshment Samples Econometrica. 69: 1645-1659. DOI: 10.1111/1468-0262.00260 |
0.368 |
|
| 2001 |
Lo Y, Mendell NR, Rubin DB. Testing the number of components in a normal mixture Biometrika. 88: 767-778. DOI: 10.1093/Biomet/88.3.767 |
0.326 |
|
| 2000 |
Hirano K, Imbens GW, Rubin DB, Zhou XH. Assessing the effect of an influenza vaccine in an encouragement design. Biostatistics (Oxford, England). 1: 69-88. PMID 12933526 DOI: 10.1093/Biostatistics/1.1.69 |
0.383 |
|
| 2000 |
Little RJ, Rubin DB. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. Annual Review of Public Health. 21: 121-45. PMID 10884949 DOI: 10.1146/Annurev.Publhealth.21.1.121 |
0.426 |
|
| 2000 |
Rubin DB. Causal Inference Without Counterfactuals: Comment Journal of the American Statistical Association. 95: 435. DOI: 10.2307/2669382 |
0.307 |
|
| 2000 |
D'Agostino RB, Rubin DB. Estimating and Using Propensity Scores with Partially Missing Data Journal of the American Statistical Association. 95: 749-759. DOI: 10.1080/01621459.2000.10474263 |
0.525 |
|
| 2000 |
Rubin DB, Thomas N. Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates Journal of the American Statistical Association. 95: 573-585. DOI: 10.1080/01621459.2000.10474233 |
0.383 |
|
| 1999 |
Matthysse S, Levy DL, Wu Y, Rubin DB, Holzman P. Intermittent degradation in performance in schizophrenia. Schizophrenia Research. 40: 131-46. PMID 10593453 DOI: 10.1016/S0920-9964(99)00038-9 |
0.31 |
|
| 1999 |
Rubin DB, Frangakis CE. Estimation of the Causal Effect of a Time-Varying Exposure on the Marginal Mean of a Repeated Binary Outcome: Comment Journal of the American Statistical Association. 94: 702. DOI: 10.2307/2669980 |
0.323 |
|
| 1999 |
GELMAN A, RUBIN DB. Evaluating and Using Statistical Methods in the Social Sciences Sociological Methods & Research. 27: 403-410. DOI: 10.1177/0049124199027003004 |
0.442 |
|
| 1998 |
Rubin DB. More powerful randomization-based p-values in double-blind trials with non-compliance. Statistics in Medicine. 17: 371-85; discussion 3. PMID 9493260 DOI: 10.1002/(Sici)1097-0258(19980215)17:3<371::Aid-Sim768>3.0.Co;2-O |
0.378 |
|
| 1998 |
BARNARD J, DU J, HILL JL, RUBIN DB. A Broader Template for Analyzing Broken Randomized Experiments Sociological Methods & Research. 27: 285-317. DOI: 10.1177/0049124198027002005 |
0.371 |
|
| 1997 |
Rubin DB. Estimating causal effects from large data sets using propensity scores. Annals of Internal Medicine. 127: 757-63. PMID 9382394 DOI: 10.7326/0003-4819-127-8_Part_2-199710151-00064 |
0.372 |
|
| 1997 |
Rubin DB, Wu YN. Modeling schizophrenic behavior using general mixture components. Biometrics. 53: 243-61. PMID 9147594 DOI: 10.2307/2533111 |
0.342 |
|
| 1997 |
Imbens GW, Rubin DB. Estimating Outcome Distributions for Compliers in Instrumental Variables Models The Review of Economic Studies. 64: 555-574. DOI: 10.2307/2971731 |
0.396 |
|
| 1997 |
Halloran ME, Gelman A, Carlin JB, Stern HS, Rubin DB, Carlin BP, Louis TA. Bayesian Data Analysis. Journal of the American Statistical Association. 92: 1640. DOI: 10.2307/2965436 |
0.523 |
|
| 1997 |
Imbens GW, Rubin DB. Bayesian inference for causal effects in randomized experiments with noncompliance The Annals of Statistics. 25: 305-327. DOI: 10.1214/Aos/1034276631 |
0.409 |
|
| 1996 |
Gelman A, Rubin DB. Markov chain Monte Carlo methods in biostatistics. Statistical Methods in Medical Research. 5: 339-55. PMID 9004377 DOI: 10.1177/096228029600500402 |
0.492 |
|
| 1996 |
Rubin DB, Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics. 52: 249-64. PMID 8934595 DOI: 10.1017/Cbo9780511810725.024 |
0.416 |
|
| 1996 |
Rubin DB. On Variance Estimation With Imputed Survey Data: Rejoinder Journal of the American Statistical Association. 91: 515. DOI: 10.2307/2291641 |
0.368 |
|
| 1996 |
Rubin DB. Multiple Imputation After 18+ Years Journal of the American Statistical Association. 91: 473-489. DOI: 10.2307/2291635 |
0.349 |
|
| 1996 |
Angrist JD, Imbens GW, Rubin DB. Identification of Causal Effects Using Instrumental Variables Journal of the American Statistical Association. 91: 444-455. DOI: 10.2307/2291629 |
0.369 |
|
| 1996 |
Liu C, Rubin DB. Markov-Normal analysis of iterative simulations before their convergence Journal of Econometrics. 75: 69-78. DOI: 10.1016/0304-4076(95)01769-0 |
0.326 |
|
| 1995 |
Belin TR, Rubin DB. The analysis of repeated-measures data on schizophrenic reaction times using mixture models. Statistics in Medicine. 14: 747-68. PMID 7644856 DOI: 10.1002/Sim.4780140805 |
0.573 |
|
| 1995 |
Rubin DB. Bayes, Neyman, and Calibration Sociological Methodology. 25: 473. DOI: 10.2307/271076 |
0.347 |
|
| 1995 |
Gelman A, Rubin DB. Avoiding Model Selection in Bayesian Social Research Sociological Methodology. 25: 165. DOI: 10.2307/271064 |
0.529 |
|
| 1995 |
Stern HS, Arcus D, Kagan J, Rubin DB, Snidman N. Using Mixture Models in Temperament Research International Journal of Behavioral Development. 18: 407-423. DOI: 10.1177/016502549501800302 |
0.33 |
|
| 1995 |
Koshl D, Rubin D, Gollin A, Sawyer T, Tanur JM. Pseudo-Opinion Polls: SLOP or Useful Data? Chance. 8: 16-25. DOI: 10.1080/09332480.1995.10542455 |
0.311 |
|
| 1995 |
Rubin DB, Stern HS, Vehovar V. Handling “Don't Know” Survey Responses: The Case of the Slovenian Plebiscite Journal of the American Statistical Association. 90: 822-828. DOI: 10.1080/01621459.1995.10476580 |
0.344 |
|
| 1995 |
Belin TR, Rubin DB. A method for calibrating false-match rates in record linkage Journal of the American Statistical Association. 90: 694-707. DOI: 10.1080/01621459.1995.10476563 |
0.585 |
|
| 1994 |
Stern H, Arcus D, Kagan J, Rubin DB, Snidman N. Statistical Choices in Infant Temperament Research Behaviormetrika. 21: 1-17. DOI: 10.2333/Bhmk.21.1 |
0.326 |
|
| 1994 |
Meng X, Rubin DB. On the global and componentwise rates of convergence of the EM algorithm Linear Algebra and Its Applications. 199: 413-425. DOI: 10.1016/0024-3795(94)90363-8 |
0.546 |
|
| 1993 |
Rubin DB. Tasks in statistical inference for studying variation in medicine. Medical Care. 31: YS103-10. PMID 8492580 DOI: 10.1097/00005650-199305001-00017 |
0.324 |
|
| 1993 |
MENG X, RUBIN DB. Maximum likelihood estimation via the ECM algorithm: A general framework Biometrika. 80: 267-278. DOI: 10.1093/Biomet/80.2.267 |
0.565 |
|
| 1993 |
Belin TR, Diffendal GJ, Mack S, Rubin DB, Schafer JL, Zaslavsky AM. Hierarchical logistic regression models for imputation of unresolved enumeration status in undercount estimation Journal of the American Statistical Association. 88: 1149-1159. DOI: 10.1080/01621459.1993.10476388 |
0.596 |
|
| 1993 |
Glynn RJ, Laird NM, Rubin DB. Multiple imputation in mixture models for nonignorable nonresponse with follow-ups Journal of the American Statistical Association. 88: 984-993. DOI: 10.1080/01621459.1993.10476366 |
0.382 |
|
| 1993 |
Rubin DB. The future of statistics Statistics and Computing. 3: 204. DOI: 10.1007/Bf00141784 |
0.341 |
|
| 1992 |
Rubin DB. Computational aspects of analysing random effects/longitudinal models. Statistics in Medicine. 11: 1809-21. PMID 1480875 DOI: 10.1002/Sim.4780111405 |
0.366 |
|
| 1992 |
Rubin DB. Meta-Analysis: Literature Synthesis or Effect-Size Surface Estimation? Journal of Educational Statistics. 17: 363-374. DOI: 10.3102/10769986017004363 |
0.331 |
|
| 1992 |
Gelman A, Rubin DB. Rejoinder: Replication without contrition Statistical Science. 7: 503-511. DOI: 10.1214/Ss/1177011148 |
0.399 |
|
| 1992 |
Gelman A, Rubin DB. Inference from iterative simulation using multiple sequences Statistical Science. 7: 457-472. DOI: 10.1214/Ss/1177011136 |
0.525 |
|
| 1992 |
RUBIN DB, THOMAS N. Characterizing the effect of matching using linear propensity score methods with normal distributions Biometrika. 79: 797-809. DOI: 10.1093/Biomet/79.4.797 |
0.374 |
|
| 1992 |
MENG X, RUBIN DB. Performing likelihood ratio tests with multiply-imputed data sets Biometrika. 79: 103-111. DOI: 10.1093/Biomet/79.1.103 |
0.603 |
|
| 1992 |
Czajka JL, Hirabayashi SM, Little RJA, Rubin DB. Projecting From Advance Data Using Propensity Modeling: An Application to Income and Tax Statistics Journal of Business & Economic Statistics. 10: 117-131. DOI: 10.1080/07350015.1992.10509892 |
0.419 |
|
| 1992 |
Meng X, Rosenthal R, Rubin DB. Comparing correlated correlation coefficients. Psychological Bulletin. 111: 172-175. DOI: 10.1037/0033-2909.111.1.172 |
0.514 |
|
| 1991 |
Rubin DB, Schenker N. Multiple imputation in health-care databases: an overview and some applications. Statistics in Medicine. 10: 585-98. PMID 2057657 DOI: 10.1002/Sim.4780100410 |
0.3 |
|
| 1991 |
Rubin DB. Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism. Biometrics. 47: 1213-34. PMID 1786315 DOI: 10.1017/Cbo9780511810725.033 |
0.337 |
|
| 1991 |
Heitjan DF, Rubin DB. Ignorability and Coarse Data The Annals of Statistics. 19: 2244-2253. DOI: 10.1214/Aos/1176348396 |
0.661 |
|
| 1991 |
Li KH, Raghunathan TE, Rubin DB. Large-sample significance levels from multiply imputed data using moment-based statistics and an F reference distribution Journal of the American Statistical Association. 86: 1065-1073. DOI: 10.1080/01621459.1991.10475152 |
0.315 |
|
| 1991 |
Meng X, Rubin DB. Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM Algorithm Journal of the American Statistical Association. 86: 899-909. DOI: 10.1080/01621459.1991.10475130 |
0.548 |
|
| 1991 |
Clogg CC, Rubin DB, Schenker N, Schultz B, Weidman L. Multiple Imputation of Industry and Occupation Codes in Census Public-use Samples Using Bayesian Logistic Regression Journal of the American Statistical Association. 86: 68-78. DOI: 10.1080/01621459.1991.10475005 |
0.381 |
|
| 1991 |
Carlin JB, Rubin DB. Summarizing multiple-choice tests using three informative statistics. Psychological Bulletin. 110: 338-349. DOI: 10.1037/0033-2909.110.2.338 |
0.344 |
|
| 1991 |
Rosenthal R, Rubin DB. Further issues in effect size estimation for one-sample multiple-choice-type data Psychological Bulletin. 109: 351-352. DOI: 10.1037//0033-2909.109.2.351 |
0.361 |
|
| 1991 |
Rubin DB. EM and beyond Psychometrika. 56: 241-254. DOI: 10.1007/Bf02294461 |
0.336 |
|
| 1990 |
Heitjan DF, Rubin DB. Inference from coarse data via multiple imputation with application to age heaping Journal of the American Statistical Association. 85: 304-314. DOI: 10.1080/01621459.1990.10476202 |
0.672 |
|
| 1990 |
Rubin DB. Formal mode of statistical inference for causal effects Journal of Statistical Planning and Inference. 25: 279-292. DOI: 10.1016/0378-3758(90)90077-8 |
0.322 |
|
| 1989 |
LITTLE RJA, RUBIN DB. The Analysis of Social Science Data with Missing Values Sociological Methods & Research. 18: 292-326. DOI: 10.1177/0049124189018002004 |
0.401 |
|
| 1988 |
Derr JA, Little RJA, Rubin DB. Statistical Analysis with Missing Data. Biometrics. 44: 913. DOI: 10.2307/1533221 |
0.372 |
|
| 1988 |
Holland PW, Rubin DB. Causal Inference in Retrospective Studies Evaluation Review. 12: 203-231. DOI: 10.1177/0193841X8801200301 |
0.348 |
|
| 1987 |
Rubin DB, Schenker N. Logit-Based Interval Estimation for Binomial Data Using the Jeffreys Prior Sociological Methodology. 17: 131. DOI: 10.2307/271031 |
0.376 |
|
| 1987 |
Holland PW, Rubin DB. CAUSAL INFERENCE IN RETROSPECTIVE STUDIES Ets Research Report Series. 1987: 203-231. DOI: 10.1002/J.2330-8516.1987.Tb00211.X |
0.311 |
|
| 1986 |
Rubin DB, Schenker N. Efficiently Simulating the Coverage Properties of Interval Estimates Applied Statistics. 35: 159. DOI: 10.2307/2347266 |
0.328 |
|
| 1986 |
Rubin DB. Statistics and Causal Inference: Comment: Which Ifs Have Causal Answers Journal of the American Statistical Association. 81: 961. DOI: 10.2307/2289065 |
0.36 |
|
| 1986 |
Rubin DB. Statistical matching using file concatenation with adjusted weights and multiple imputations Journal of Business and Economic Statistics. 4: 87-94. DOI: 10.1080/07350015.1986.10509497 |
0.363 |
|
| 1986 |
Rubin DB, Schenker N. Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse Journal of the American Statistical Association. 81: 366-374. DOI: 10.1080/01621459.1986.10478280 |
0.321 |
|
| 1985 |
Rosenbaum PR, Rubin DB. The bias due to incomplete matching. Biometrics. 41: 103-16. PMID 4005368 DOI: 10.1017/Cbo9780511810725.020 |
0.323 |
|
| 1985 |
Rosenbaum PR, Rubin DB. Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score The American Statistician. 39: 33. DOI: 10.2307/2683903 |
0.327 |
|
| 1985 |
Aitkin M, Rubin DB. Estimation and Hypothesis Testing in Finite Mixture Models Journal of the Royal Statistical Society: Series B (Methodological). 47: 67-75. DOI: 10.1111/J.2517-6161.1985.Tb01331.X |
0.376 |
|
| 1985 |
Rosenthal R, Rubin DB. Statistical Analysis: Summarizing Evidence Versus Establishing Facts Psychological Bulletin. 97: 527-529. DOI: 10.1037//0033-2909.97.3.527 |
0.344 |
|
| 1984 |
Rosenbaum PR, Rubin DB. Difficulties with Regression Analyses of Age-Adjusted Rates Biometrics. 40: 437. DOI: 10.2307/2531396 |
0.341 |
|
| 1984 |
Rosenbaum PR, Rubin DB. Reducing Bias in Observational Studies Using Subclassification on the Propensity Score Journal of the American Statistical Association. 79: 516-524. DOI: 10.2307/2288398 |
0.383 |
|
| 1984 |
Rosenbaum PR, Rubin DB. Comment: Estimating the effects caused by treatments Journal of the American Statistical Association. 79: 26-28. DOI: 10.1080/01621459.1984.10477057 |
0.318 |
|
| 1983 |
Rosenbaum PR, Rubin DB. Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome Journal of the Royal Statistical Society: Series B (Methodological). 45: 212-218. DOI: 10.1111/J.2517-6161.1983.Tb01242.X |
0.363 |
|
| 1983 |
Dempster AP, Rubin DB. Rounding Error in Regression: The Appropriateness of Sheppard's Corrections Journal of the Royal Statistical Society: Series B (Methodological). 45: 51-59. DOI: 10.1111/J.2517-6161.1983.Tb01230.X |
0.34 |
|
| 1983 |
ROSENBAUM PR, RUBIN DB. The central role of the propensity score in observational studies for causal effects Biometrika. 70: 41-55. DOI: 10.1093/Biomet/70.1.41 |
0.381 |
|
| 1983 |
Little RJ, Rubin DB. On Jointly Estimating Parameters and Missing Data by Maximizing the Complete-Data Likelihood The American Statistician. 37: 218-220. DOI: 10.1080/00031305.1983.10483106 |
0.398 |
|
| 1983 |
Rubin DB, Thayer DT. More on EM for ML factor analysis Psychometrika. 48: 253-257. DOI: 10.1007/Bf02294020 |
0.318 |
|
| 1983 |
Braun HI, Jones DH, Rubin DB, Thayer DT. Empirical bayes estimation of coefficients in the general linear model from data of deficient rank Psychometrika. 48: 171-181. DOI: 10.1007/Bf02294013 |
0.402 |
|
| 1983 |
Rosenbaum PR, Rubin DB. THE BIAS DUE TO INCOMPLETE HATCHING Ets Research Report Series. 1983: i-22. DOI: 10.1002/J.2330-8516.1983.Tb00037.X |
0.325 |
|
| 1982 |
RUBIN DB, SZATROWSKI TH. Finding maximum likelihood estimates of patterned covariance matrices by the EM algorithm Biometrika. 69: 657-660. DOI: 10.1093/Biomet/69.3.657 |
0.353 |
|
| 1982 |
Rubin DB, Thayer DT. EM algorithms for ML factor analysis Psychometrika. 47: 69-76. DOI: 10.1007/Bf02293851 |
0.3 |
|
| 1982 |
Holland PW, Rubin DB. ON LORD'S PARADOX Ets Research Report Series. 1982: i-41. DOI: 10.1002/J.2333-8504.1982.Tb01321.X |
0.367 |
|
| 1981 |
Rubin DB. Estimation in Parallel Randomized Experiments Journal of Educational Statistics. 6: 377-401. DOI: 10.3102/10769986006004377 |
0.392 |
|
| 1981 |
Rubin DB, Stroud TWF, Thayer DT. Fitting Additive Models to Unbalanced Two-Way Data Journal of Educational Statistics. 6: 153-178. DOI: 10.3102/10769986006002153 |
0.309 |
|
| 1981 |
Rubin DB. The Bayesian Bootstrap The Annals of Statistics. 9: 130-134. DOI: 10.1214/Aos/1176345338 |
0.36 |
|
| 1981 |
Dempster AP, Rubin DB, Tsutakawa RK. Estimation in Covariance Components Models Journal of the American Statistical Association. 76: 341-353. DOI: 10.1080/01621459.1981.10477653 |
0.386 |
|
| 1980 |
Marini MM, Olsen AR, Rubin DB. Maximum-Likelihood Estimation in Panel Studies with Missing Data Sociological Methodology. 11: 314. DOI: 10.2307/270868 |
0.377 |
|
| 1980 |
Rubin DB. Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment Journal of the American Statistical Association. 75: 591. DOI: 10.2307/2287653 |
0.362 |
|
| 1978 |
Rubin DB. A Note on Bayesian, Likelihood, and Sampling Distribution Inferences Journal of Educational Statistics. 3: 189-201. DOI: 10.3102/10769986003002189 |
0.35 |
|
| 1978 |
Rubin DB. Bayesian Inference for Causal Effects: The Role of Randomization The Annals of Statistics. 6: 34-58. DOI: 10.1214/Aos/1176344064 |
0.335 |
|
| 1977 |
Dempster AP, Laird NM, Rubin DB. Maximum Likelihood from Incomplete Data Via theEMAlgorithm Journal of the Royal Statistical Society: Series B (Methodological). 39: 1-22. DOI: 10.1111/J.2517-6161.1977.Tb01600.X |
0.371 |
|
| 1977 |
Rubin DB. Formalizing subjective notions about the effect of nonrespondents in sample surveys Journal of the American Statistical Association. 72: 538-543. DOI: 10.1080/01621459.1977.10480610 |
0.351 |
|
| 1976 |
Rubin DB. Noniterative Least Squares Estimates, Standard Errors and F
-Tests for Analyses of Variance with Missing Data Journal of the Royal Statistical Society: Series B (Methodological). 38: 270-274. DOI: 10.1111/J.2517-6161.1976.Tb01593.X |
0.33 |
|
| 1976 |
Beaton AE, Rubin DB, Barone JL. The acceptability of regression solutions: Another look at computational accuracy Journal of the American Statistical Association. 71: 158-168. DOI: 10.1080/01621459.1976.10481507 |
0.323 |
|
| 1976 |
Rubin DB, Thayer D. RELATING TESTS GIVEN TO DIFFERENT SAMPLES Ets Research Bulletin Series. 1976: i-16. DOI: 10.1002/J.2333-8504.1976.Tb01119.X |
0.309 |
|
| 1975 |
Rubin DB. INFERENCE AND MISSING DATA Ets Research Bulletin Series. 1975: i-19. DOI: 10.1093/Biomet/63.3.581 |
0.346 |
|
| 1975 |
Rubin DB, Weisberg S. The variance of a linear combination of independent estimators using estimated weights Biometrika. 62: 708-709. DOI: 10.1093/Biomet/62.3.708 |
0.307 |
|
| 1975 |
Rubin DB. A METHOD FOR FORMALIZING SUBJECTIVE NOTIONS ABOUT THE EFFECT OF NON-RESPONDENTS IN SAMPLE SURVEYS Ets Research Bulletin Series. 1975: i-24. DOI: 10.1002/J.2333-8504.1975.Tb01062.X |
0.362 |
|
| 1975 |
Rubin DB. A NOTE ON A SIMPLE PROBLEM IN INFERENCE Ets Research Bulletin Series. 1975: i-9. DOI: 10.1002/J.2333-8504.1975.Tb01061.X |
0.306 |
|
| 1975 |
Rubin DB. SELECTING THE “BEST” REGRESSION WHEN FACED WITH MISSING OBSERVATIONS Ets Research Bulletin Series. 1975: i-12. DOI: 10.1002/J.2333-8504.1975.Tb01049.X |
0.304 |
|
| 1974 |
Rubin DB. MULTIVARIATE MATCHING METHODS THAT ARE EQUAL PERCENT BIAS REDUCING, I: SOME EXAMPLES Ets Research Bulletin Series. 1974: i-21. DOI: 10.2307/2529342 |
0.317 |
|
| 1974 |
Rubin DB. Characterizing the estimation of parameters in incomplete-data problems Journal of the American Statistical Association. 69: 467-474. DOI: 10.1080/01621459.1974.10482976 |
0.356 |
|
| 1974 |
Rubin DB. Estimating causal effects of treatments in randomized and nonrandomized studies Journal of Educational Psychology. 66: 688-701. DOI: 10.1037/H0037350 |
0.395 |
|
| 1974 |
Rubin DB. NONITERATIVE LEAST SQUARES ESTIMATES, STANDARD ERRORS, AND F-TESTS FOR ANY ANALYSIS OF VARIANCE WITH MISSING DATA Ets Research Bulletin Series. 1974: i-18. DOI: 10.1002/J.2333-8504.1974.Tb00863.X |
0.354 |
|
| 1974 |
Rubin DB, Stroud TWF. AN ALGORITHM FOR THE POSTERIOR DISTRIBUTION OF THE CELL MEANS IN A TWO-WAY UNBALANCED MANOVA Ets Research Bulletin Series. 1974: i-18. DOI: 10.1002/J.2333-8504.1974.Tb00859.X |
0.3 |
|
| 1974 |
Rubin DB, Weisberg S. THE ASSESSMENT OF A TREATMENT EFFECT WHEN A COVARIATE IS OBSERVED ON A SUBSET OF THE UNITS: I. SIMPLE ESTIMATORS Ets Research Bulletin Series. 1974: i-14. DOI: 10.1002/J.2333-8504.1974.Tb00671.X |
0.352 |
|
| 1973 |
Rubin DB. MISSING AT RANDOM - WHAT DOES IT MEAN? Ets Research Bulletin Series. 1973: i-9. DOI: 10.1002/J.2333-8504.1973.Tb00198.X |
0.368 |
|
| 1972 |
Rubin DB. A Non-Iterative Algorithm for Least Squares Estimation of Missing Values in Any Analysis of Variance Design Applied Statistics. 21: 136. DOI: 10.2307/2346485 |
0.32 |
|
| 1972 |
Rubin D. ESTIMATING CAUSAL EFFECTS OF TREATMENTS IN EXPERIMENTAL AND OBSERVATIONAL STUDIES Ets Research Bulletin Series. 1972: i-31. DOI: 10.1002/J.2333-8504.1972.Tb00631.X |
0.412 |
|
| 1971 |
Althauser RP, Rubin D. Measurement Error and Regression to the Mean in Matched Samples Social Forces. 50: 206-214. DOI: 10.1093/Sf/50.2.206 |
0.355 |
|
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