Performance of LTMLE in the Presence of Missing Data in Control-Matched Longitudinal Studies

Author:

Wang Sue-Jane1,Huang Zhipeng1,Zhu Hai2

Affiliation:

1. Division of Biometrics I, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD

2. Department of Biometrics and Clinical Development, SystImmune, Inc, Redmond, WA

Funder

Office of Biostatistics

Office of Translational Sciences, Center for Drug Evaluation and Research

U.S. Food and Drug Administration

Publisher

Informa UK Limited

Subject

Pharmaceutical Science,Statistics and Probability

Reference49 articles.

1. Akaike, H. (1973), “Information Theory and an Extension of the Maximum Likelihood Principle”, in Proceeding of the 2nd International Symposium on Information Theory, Tsahkadsor, Armenia, USSR, Sept. 2–8, 1971, eds. B. N. Petrov and F. Csaki, pp. 267–281, Budapest: Akademiai Kiado.

2. Reassessing the Effectiveness of Right Heart Catheterization (RHC) in the Initial Care of Critically Ill Patients using Targeted Maximum Likelihood Estimation

3. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

4. Miscellanea. Small-sample degrees of freedom with multiple imputation

5. The impact of missing data and how it is handled on the rate of false-positive results in drug development

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