title: Estimation of recurrence of colorectal adenomas with dependent censoring using weighted logistic regression.
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.
authors: Division of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona, United States of America. phsu@azcc.arizona.edu
authors: Chiu-Hsieh
authors: CH
authors: Hsu
authors: Yisheng
authors: Y
authors: Li
authors: Qi
authors: Q
authors: Long
authors: Qiuhong
authors: Q
authors: Zhao
authors: Peter
authors: P
authors: Lance
mesh_terms: D000236:Adenoma / Q000188:drug therapy / Q000517:prevention & control*; D015179:Colorectal Neoplasms / Q000188:drug therapy / Q000517:prevention & control*; D003198:Computer Simulation; D019992:Databases as Topic; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008954:Models, Biological; D009010:Monte Carlo Method; D010919:Placebos; D012008:Recurrence; D014580:Ursodeoxycholic Acid / Q000627:therapeutic use
chemical_list: D010919:Placebos; D014580:Ursodeoxycholic Acid