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

Chiu-Hsieh Hsu, Yisheng Li, Qi Long, Qiuhong Zhao, Michael P 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

Fingerprint

adenoma
Adenoma
Logistics
risk groups
Logistic Models
Recurrence
Polyps
colonoscopy
dropouts
Colonoscopy
methodology

ASJC Scopus subject areas

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

Cite this

Estimation of recurrence of colorectal adenomas with dependent censoring using weighted logistic regression. / Hsu, Chiu-Hsieh; Li, Yisheng; Long, Qi; Zhao, Qiuhong; Lance, Michael P.

In: PLoS One, Vol. 6, No. 10, e25141, 04.11.2011.

Research output: Contribution to journalArticle

@article{684db86d13ee41639a120953799da968,
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.",
author = "Chiu-Hsieh Hsu and Yisheng Li and Qi Long and Qiuhong Zhao and Lance, {Michael P}",
year = "2011",
month = "11",
day = "4",
doi = "10.1371/journal.pone.0025141",
language = "English (US)",
volume = "6",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "10",

}

TY - JOUR

T1 - Estimation of recurrence of colorectal adenomas with dependent censoring using weighted logistic regression

AU - Hsu, Chiu-Hsieh

AU - Li, Yisheng

AU - Long, Qi

AU - Zhao, Qiuhong

AU - Lance, Michael P

PY - 2011/11/4

Y1 - 2011/11/4

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=80055121829&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80055121829&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0025141

DO - 10.1371/journal.pone.0025141

M3 - Article

C2 - 22065985

AN - SCOPUS:80055121829

VL - 6

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 10

M1 - e25141

ER -