Article

Methods for the analysis of incomplete longitudinal data

2003-01-01

Abstract excerpt

Unplanned missing data commonly arise in longitudinal trials. When the mechanism driving the missing data process is related to the outcome under investigation, traditional methods of analysis may yield seriously biased parameter estimates. Motivated by data from two clinical trials, this thesis explores various approaches to dealing with data incompleteness. In the first part, a Monte Carlo EM algorithm is develo...

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Literature Corpus work: 49c06269-151f-5a5f-841c-82c782cba93c
DOI: 10.17037/pubs.04646517

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