Estimation of recurrence of colorectal adenomas with dependent censoring using weighted logistic regression

Chiu Hsieh Hsu, Yisheng Li, Qi Long, Qiuhong Zhao, Peter Lance

Research output: Contribution to journalArticle

Abstract

In colorectal polyp prevention trials, estimation of the rate of recurrence of adenomas at the end of the trial may be complicated by dependent censoring, that is, time to follow-up colonoscopy and dropout may be dependent on time to recurrence. Assuming that the auxiliary variables capture the dependence between recurrence and censoring times, we propose to fit two working models with the auxiliary variables as covariates to define risk groups and then extend an existing weighted logistic regression method for independent censoring to each risk group to accommodate potential dependent censoring. In a simulation study, we show that the proposed method results in both a gain in efficiency and reduction in bias for estimating the recurrence rate. We illustrate the methodology by analyzing a recurrent adenoma dataset from a colorectal polyp prevention trial.

Original languageEnglish (US)
Article numbere25141
JournalPloS one
Volume6
Issue number10
DOIs
StatePublished - Nov 4 2011

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

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