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Journal of the American Statistical Association Volume 95, 2000 - Issue 450
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Theory and Method

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James M. Robins Havard School of Public Health, Boston, MA, 02115, USA
,
Andrea Rotnitzky Havard School of Public Health, Boston, MA, 02115, USA
&
Mark Van Der Laan School of Public Health, University of California, Berkeley, CA, USA
Pages 477-482 | Published online: 17 Feb 2012

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Weibin Mo, Zhengling Qi & Yufeng Liu. (2021) Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules. Journal of the American Statistical Association 116:534, pages 699-707.
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Chiu-Hsieh Hsu, Qi Long, Yisheng Li & Elizabeth Jacobs. (2014) A Nonparametric Multiple Imputation Approach for Data with Missing Covariate Values with Application to Colorectal Adenoma Data. Journal of Biopharmaceutical Statistics 24:3, pages 634-648.
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James Robins & Larry Wasserman. (2000) Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts. Journal of the American Statistical Association 95:452, pages 1340-1346.
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Alexander P Keil, Eric J Daza, Stephanie M Engel, Jessie P Buckley & Jessie K Edwards. (2017) A Bayesian approach to the g-formula. Statistical Methods in Medical Research 27:10, pages 3183-3204.
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Sander Greenland. (2017) For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates. European Journal of Epidemiology 32:1, pages 3-20.
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Linh Tran, Constantin T. Yiannoutsos, Beverly S. Musick, Kara K. Wools-Kaloustian, Abraham Siika, Sylvester Kimaiyo, Mark J. van der Laan & Maya Petersen. (2016) Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap. Epidemiologic Methods 5:1, pages 69-91.
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Min Zhang & Douglas E. Schaubel. (2012) Double‐Robust Semiparametric Estimator for Differences in Restricted Mean Lifetimes in Observational Studies. Biometrics 68:4, pages 999-1009.
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Tyler J. VanderWeele & Miguel A. Hernán. 2012. Causality. Causality 101 113 .
Donglin Zeng. (2005) Likelihood approach for marginal proportional hazards regression in the presence of dependent censoring. The Annals of Statistics 33:2.
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Donglin Zeng. (2004) Estimating marginal survival function by adjusting for dependent censoring using many covariates. The Annals of Statistics 32:4.
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John D. Kalbfleisch & Ross L. Prentice. 2002. The Statistical Analysis of Failure Time Data. The Statistical Analysis of Failure Time Data 404 427 .
George Maldonado & Sander Greenland. (2002) Response: Defining and estimating causal effects. International Journal of Epidemiology 31:2, pages 435-438.
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