Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations

2013 ◽  
Vol 59 ◽  
pp. 171-179 ◽  
Author(s):  
Donghwan Lee ◽  
Youngjo Lee ◽  
Myunghee Cho Paik ◽  
Michael G. Kenward
Keyword(s):  
Missing Data ◽  
Generalized Estimating Equations ◽  
Estimating Equations ◽  
Robust Inference ◽  
Longitudinal Outcomes ◽  
Inverse Probability ◽  
Hierarchical Likelihood ◽  
Likelihood Approach ◽  
Heavy Tailed ◽  
Inverse Probability Weighted

scholarly journals Estimating Inverse-probability Weights for Longitudinal Data with Dropout or Truncation: The Xtrccipw Command

2017 ◽  
Vol 17 (2) ◽  
pp. 253-278 ◽  
Author(s):  
Eric J. Daza ◽  
Michael G. Hudgens ◽  
Amy H. Herring
Keyword(s):  
Longitudinal Study ◽  
Longitudinal Data ◽  
Simulation Study ◽  
Generalized Estimating Equations ◽  
Estimating Equations ◽  
Missing At Random ◽  
Drop Out ◽  
Longitudinal Outcomes ◽  
Inverse Probability ◽  
Inverse Probability Weights

Individuals may drop out of a longitudinal study, rendering their outcomes unobserved but still well defined. However, they may also undergo truncation (for example, death), beyond which their outcomes are no longer meaningful. Kurland and Heagerty (2005, Biostatistics 6: 241–258) developed a method to conduct regression conditioning on nontruncation, that is, regression conditioning on continuation (RCC), for longitudinal outcomes that are monotonically missing at random (for example, because of dropout). This method first estimates the probability of dropout among continuing individuals to construct inverse-probability weights (IPWs), then fits generalized estimating equations (GEE) with these IPWs. In this article, we present the xtrccipw command, which can both estimate the IPWs required by RCC and then use these IPWs in a GEE estimator by calling the glm command from within xtrccipw. In the absence of truncation, the xtrccipw command can also be used to run a weighted GEE analysis. We demonstrate the xtrccipw command by analyzing an example dataset and the original Kurland and Heagerty (2005) data. We also use xtrccipw to illustrate some empirical properties of RCC through a simulation study.

scholarly journals Inverse probability weighted estimating equations for randomized trials in transfusion medicine

2013 ◽  
Vol 32 (25) ◽  
pp. 4380-4399 ◽  
Author(s):  
Richard J. Cook ◽  
Ker-Ai Lee ◽  
Meaghan Cuerden ◽  
Cecilia A. Cotton
Keyword(s):  
Randomized Trials ◽  
Estimating Equations ◽  
Transfusion Medicine ◽  
Inverse Probability ◽  
Inverse Probability Weighted
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