| Year |
Citation |
Score |
| 2019 |
Tchetgen Tchetgen EJ, Rotnitzky A. On protected estimation of an odds ratio model with missing binary exposure and confounders. Biometrika. 98: 749-754. PMID 22822262 DOI: 10.1093/Biomet/Asr027 |
0.445 |
|
| 2018 |
Babino L, Rotnitzky A, Robins J. Multiple robust estimation of marginal structural mean models for unconstrained outcomes. Biometrics. PMID 30004573 DOI: 10.1111/biom.12924 |
0.402 |
|
| 2017 |
Molina J, Rotnitzky A, Sued M, Robins JM. Multiple robustness in factorized likelihood models. Biometrika. 104: 561-581. PMID 29430033 DOI: 10.1093/Biomet/Asx027 |
0.408 |
|
| 2015 |
Ogburn EL, Rotnitzky A, Robins JM. Doubly robust estimation of the local average treatment effect curve. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 77: 373-396. PMID 25663814 DOI: 10.1111/Rssb.12078 |
0.68 |
|
| 2014 |
Gilbert PB, Yu X, Rotnitzky A. Optimal auxiliary-covariate-based two-phase sampling design for semiparametric efficient estimation of a mean or mean difference, with application to clinical trials. Statistics in Medicine. 33: 901-17. PMID 24123289 DOI: 10.1002/Sim.6006 |
0.406 |
|
| 2013 |
Haneuse S, Rotnitzky A. Estimation of the effect of interventions that modify the received treatment. Statistics in Medicine. 32: 5260-77. PMID 23913589 DOI: 10.1002/Sim.5907 |
0.479 |
|
| 2012 |
Rotnitzky A, Lei Q, Sued M, Robins JM. Improved double-robust estimation in missing data and causal inference models. Biometrika. 99: 439-456. PMID 23843666 DOI: 10.1093/Biomet/Ass013 |
0.47 |
|
| 2012 |
Little RJ, D'Agostino R, Cohen ML, Dickersin K, Emerson SS, Farrar JT, Frangakis C, Hogan JW, Molenberghs G, Murphy SA, Neaton JD, Rotnitzky A, Scharfstein D, Shih WJ, Siegel JP, et al. The prevention and treatment of missing data in clinical trials. The New England Journal of Medicine. 367: 1355-60. PMID 23034025 DOI: 10.1056/Nejmsr1203730 |
0.309 |
|
| 2012 |
Wang L, Rotnitzky A, Lin X, Millikan RE, Thall PF. Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer. Journal of the American Statistical Association. 107: 493-508. PMID 22956855 DOI: 10.1080/01621459.2011.641416 |
0.378 |
|
| 2011 |
Tchetgen Tchetgen EJ, Rotnitzky A. Double-robust estimation of an exposure-outcome odds ratio adjusting for confounding in cohort and case-control studies. Statistics in Medicine. 30: 335-47. PMID 21225896 DOI: 10.1002/Sim.4103 |
0.406 |
|
| 2010 |
Wang L, Rotnitzky A, Lin X. Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations. Journal of the American Statistical Association. 105: 1135-1146. PMID 23144520 DOI: 10.1198/Jasa.2010.Tm08463 |
0.481 |
|
| 2010 |
Tchetgen Tchetgen EJ, Robins JM, Rotnitzky A. On doubly robust estimation in a semiparametric odds ratio model. Biometrika. 97: 171-180. PMID 23049119 DOI: 10.1093/Biomet/Asp062 |
0.464 |
|
| 2010 |
Rotnitzky A, Li L, Li X. A note on overadjustment in inverse probability weighted estimation. Biometrika. 97: 997-1001. PMID 22822256 DOI: 10.1093/Biomet/Asq049 |
0.372 |
|
| 2010 |
Orellana L, Rotnitzky A, Robins JM. Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content. The International Journal of Biostatistics. 6: Article 8. PMID 21969994 DOI: 10.2202/1557-4679.1200 |
0.641 |
|
| 2010 |
Orellana L, Rotnitzky A, Robins JM. Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part II: proofs of results. The International Journal of Biostatistics. 6: Article 9. PMID 20405047 DOI: 10.2202/1557-4679.1242 |
0.61 |
|
| 2009 |
Page JH, Rotnitzky A. Estimation of the disease-specific diagnostic marker distribution under verification bias. Computational Statistics & Data Analysis. 53: 707-717. PMID 23087495 DOI: 10.1016/J.Csda.2008.06.021 |
0.442 |
|
| 2009 |
Fluss R, Reiser B, Faraggi D, Rotnitzky A. Estimation of the ROC curve under verification bias. Biometrical Journal. Biometrische Zeitschrift. 51: 475-90. PMID 19588455 DOI: 10.1002/Bimj.200800128 |
0.431 |
|
| 2009 |
Rotnitzky A, Bergesio A, Farall A. Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms. Lifetime Data Analysis. 15: 1-23. PMID 18575980 DOI: 10.1007/S10985-008-9088-Y |
0.309 |
|
| 2008 |
Robins J, Orellana L, Rotnitzky A. Estimation and extrapolation of optimal treatment and testing strategies. Statistics in Medicine. 27: 4678-721. PMID 18646286 DOI: 10.1002/Sim.3301 |
0.589 |
|
| 2007 |
Vansteelandt S, Rotnitzky A, Robins J. Estimation of regression models for the mean of repeated outcomes under nonignorable nonmonotone nonresponse. Biometrika. 94: 841-860. PMID 27453583 DOI: 10.1093/Biomet/Asm070 |
0.438 |
|
| 2007 |
Jemiai Y, Rotnitzky A, Shepherd BE, Gilbert PB. Semiparametric estimation of treatment effects given base-line covariates on an outcome measured after a post-randomization event occurs. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 69: 879-901. PMID 20228899 DOI: 10.1111/J.1467-9868.2007.00615.X |
0.705 |
|
| 2007 |
Robins JM, Hernán MA, Rotnitzky A. Effect modification by time-varying covariates. American Journal of Epidemiology. 166: 994-1002; discussion. PMID 17875581 DOI: 10.1093/Aje/Kwm231 |
0.424 |
|
| 2007 |
Robins J, Sued M, Lei-Gomez Q, Rotnitzky A. Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable Statistical Science. 22: 544-559. DOI: 10.1214/07-Sts227D |
0.386 |
|
| 2007 |
Rotnitzky A, Farall A, Bergesio A, Scharfstein D. Analysis of failure time data under competing censoring mechanisms Journal of the Royal Statistical Society: Series B (Statistical Methodology). 69: 307-327. DOI: 10.1111/J.1467-9868.2007.00590.X |
0.322 |
|
| 2006 |
Shepherd BE, Gilbert PB, Jemiai Y, Rotnitzky A. Sensitivity analyses comparing outcomes only existing in a subset selected post-randomization, conditional on covariates, with application to HIV vaccine trials. Biometrics. 62: 332-42. PMID 16918897 DOI: 10.1111/J.1541-0420.2005.00495.X |
0.681 |
|
| 2006 |
Rotnitzky A, Faraggi D, Schisterman E. Doubly Robust Estimation of the Area Under the Receiver-Operating Characteristic Curve in the Presence of Verification Bias Journal of the American Statistical Association. 101: 1276-1288. DOI: 10.1198/016214505000001339 |
0.387 |
|
| 2003 |
Birmingham J, Rotnitzky A, Fitzmaurice GM. Pattern-mixture and selection models for analysing longitudinal data with monotone missing patterns Journal of the Royal Statistical Society. Series B: Statistical Methodology. 65: 275-297. DOI: 10.1111/1467-9868.00386 |
0.422 |
|
| 2001 |
Scharfstein D, Robins JM, Eddings W, Rotnitzky A. Inference in randomized studies with informative censoring and discrete time-to-event endpoints. Biometrics. 57: 404-13. PMID 11414563 DOI: 10.1111/J.0006-341X.2001.00404.X |
0.376 |
|
| 2001 |
Robins J, Rotnitzky A, Bonetti M. Discussion of the Frangakis and Rubin article. Biometrics. 57: 343-7; discussion 35. PMID 11414554 DOI: 10.1111/J.0006-341X.2001.00343.X |
0.386 |
|
| 2001 |
Rotnitzky A, Scharfstein D, Su TL, Robins J. Methods for conducting sensitivity analysis of trials with potentially nonignorable competing causes of censoring. Biometrics. 57: 103-13. PMID 11252584 DOI: 10.1111/J.0006-341X.2001.00103.X |
0.301 |
|
| 2000 |
Rotnitzky A, Cox DR, Bottai M, Robins J. Likelihood-based inference with singular information matrix Bernoulli. 6: 243-284. DOI: 10.2307/3318576 |
0.329 |
|
| 2000 |
Robins JM, Rotnitzky A, van der Laan M. On Profile Likelihood: Comment Journal of the American Statistical Association. 95: 477. DOI: 10.2307/2669391 |
0.301 |
|
| 1998 |
Rotnitzky A, Robins JM, Scharfstein DO. Semiparametric regression for repeated outcomes with nonignorable nonresponse Journal of the American Statistical Association. 93: 1321-1339. DOI: 10.1080/01621459.1998.10473795 |
0.483 |
|
| 1997 |
Rotnitzky A, Robins J. Analysis of semi-parametric regression models with non-ignorable non-response. Statistics in Medicine. 16: 81-102. PMID 9004385 DOI: 10.1002/(Sici)1097-0258(19970115)16:1<81::Aid-Sim473>3.0.Co;2-0 |
0.448 |
|
| 1997 |
Holcroft CA, Rotnitzky A, Robins JM. Efficient estimation of regression parameters from multistage studies with validation of outcome and covariates Journal of Statistical Planning and Inference. 65: 349-374. DOI: 10.1016/S0378-3758(97)81749-1 |
0.414 |
|
| 1997 |
Rotnitzky A, Holcroft CA, Robins JM. Efficiency Comparisons in Multivariate Multiple Regression with Missing Outcomes Journal of Multivariate Analysis. 61: 102-128. DOI: 10.1006/Jmva.1997.1660 |
0.492 |
|
| 1996 |
Kim R, Aro A, Rotnitzky A, Amarasiriwardena C, Hu H. K x-ray fluorescence measurements of bone lead concentration: the analysis of low-level data. Physics in Medicine and Biology. 40: 1475-85. PMID 8532760 DOI: 10.1088/0031-9155/40/9/007 |
0.317 |
|
| 1995 |
Hu H, Aro A, Rotnitzky A. Bone lead measured by X-ray fluorescence: epidemiologic methods. Environmental Health Perspectives. 105-10. PMID 7621788 DOI: 10.1289/Ehp.95103S1105 |
0.322 |
|
| 1995 |
ROTNITZKY A, ROBINS JM. Semiparametric regression estimation in the presence of dependent censoring Biometrika. 82: 805-820. DOI: 10.1093/Biomet/82.4.805 |
0.487 |
|
| 1995 |
Robins JM, Rotnitzky A. Semiparametric Efficiency in Multivariate Regression Models with Missing Data Journal of the American Statistical Association. 90: 122-129. DOI: 10.1080/01621459.1995.10476494 |
0.481 |
|
| 1995 |
Robins JM, Rotnitzky A, Zhao LP. Analysis of semiparametric regression models for repeated outcomes in the presence of missing data Journal of the American Statistical Association. 90: 106-121. DOI: 10.1080/01621459.1995.10476493 |
0.5 |
|
| 1994 |
Rotnitzky A, Wypij D. A Note on the Bias of Estimators with Missing Data Biometrics. 50: 1163. DOI: 10.2307/2533454 |
0.431 |
|
| 1994 |
Robins JM, Rotnitzky A, Zhao LP. Estimation of regression coefficients when some regressors are not always observed Journal of the American Statistical Association. 89: 846-866. DOI: 10.1080/01621459.1994.10476818 |
0.469 |
|
| 1990 |
Rotnitzky A, Jewell NP. Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data Biometrika. 77: 485-497. DOI: 10.1093/Biomet/77.3.485 |
0.36 |
|
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