A weighted zero-inflated Poisson model for estimation of recurrence of adenomas

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this article, a weighted zero-inflated Poisson (W-ZIP) approach to modelling colorectal adenoma data is used in which the number of recurrent adenomas is subject to measurement error and some participants might have their follow-up colonoscopy conducted before the end of trial. The weights are used to adjust for varying follow-up and obtained from a nonparametric survival function derived from the lengths of follow-up. It is shown that logistic regression (LR) and survival analysis tend to underestimate recurrence rate due to measurement error on the status of recurrence. A simulation study shows that the W-ZIP model is robust to the assumption of the underlying distribution of time-to-recurrence and is less affected by misclassification at follow-up colonoscopy when compared with LR and survival analysis approaches. The method described here is illustrated with an example from a colon cancer study.

Original languageEnglish (US)
Pages (from-to)155-166
Number of pages12
JournalStatistical Methods in Medical Research
Volume16
Issue number2
DOIs
StatePublished - Apr 2007

Fingerprint

Poisson Model
Adenoma
Recurrence
Survival Analysis
Colonoscopy
Logistic Regression
Regression Analysis
Measurement Error
Zero
Logistic Models
Misclassification
Survival Function
Colonic Neoplasms
Cancer
Siméon Denis Poisson
Simulation Study
Tend
Weights and Measures
Modeling

ASJC Scopus subject areas

  • Epidemiology
  • Health Information Management
  • Nursing(all)

Cite this

A weighted zero-inflated Poisson model for estimation of recurrence of adenomas. / Hsu, Chiu-Hsieh.

In: Statistical Methods in Medical Research, Vol. 16, No. 2, 04.2007, p. 155-166.

Research output: Contribution to journalArticle

@article{2a71867719f84165a80e263b3c250cfc,
title = "A weighted zero-inflated Poisson model for estimation of recurrence of adenomas",
abstract = "In this article, a weighted zero-inflated Poisson (W-ZIP) approach to modelling colorectal adenoma data is used in which the number of recurrent adenomas is subject to measurement error and some participants might have their follow-up colonoscopy conducted before the end of trial. The weights are used to adjust for varying follow-up and obtained from a nonparametric survival function derived from the lengths of follow-up. It is shown that logistic regression (LR) and survival analysis tend to underestimate recurrence rate due to measurement error on the status of recurrence. A simulation study shows that the W-ZIP model is robust to the assumption of the underlying distribution of time-to-recurrence and is less affected by misclassification at follow-up colonoscopy when compared with LR and survival analysis approaches. The method described here is illustrated with an example from a colon cancer study.",
author = "Chiu-Hsieh Hsu",
year = "2007",
month = "4",
doi = "10.1177/0962280206071929",
language = "English (US)",
volume = "16",
pages = "155--166",
journal = "Statistical Methods in Medical Research",
issn = "0962-2802",
publisher = "SAGE Publications Ltd",
number = "2",

}

TY - JOUR

T1 - A weighted zero-inflated Poisson model for estimation of recurrence of adenomas

AU - Hsu, Chiu-Hsieh

PY - 2007/4

Y1 - 2007/4

N2 - In this article, a weighted zero-inflated Poisson (W-ZIP) approach to modelling colorectal adenoma data is used in which the number of recurrent adenomas is subject to measurement error and some participants might have their follow-up colonoscopy conducted before the end of trial. The weights are used to adjust for varying follow-up and obtained from a nonparametric survival function derived from the lengths of follow-up. It is shown that logistic regression (LR) and survival analysis tend to underestimate recurrence rate due to measurement error on the status of recurrence. A simulation study shows that the W-ZIP model is robust to the assumption of the underlying distribution of time-to-recurrence and is less affected by misclassification at follow-up colonoscopy when compared with LR and survival analysis approaches. The method described here is illustrated with an example from a colon cancer study.

AB - In this article, a weighted zero-inflated Poisson (W-ZIP) approach to modelling colorectal adenoma data is used in which the number of recurrent adenomas is subject to measurement error and some participants might have their follow-up colonoscopy conducted before the end of trial. The weights are used to adjust for varying follow-up and obtained from a nonparametric survival function derived from the lengths of follow-up. It is shown that logistic regression (LR) and survival analysis tend to underestimate recurrence rate due to measurement error on the status of recurrence. A simulation study shows that the W-ZIP model is robust to the assumption of the underlying distribution of time-to-recurrence and is less affected by misclassification at follow-up colonoscopy when compared with LR and survival analysis approaches. The method described here is illustrated with an example from a colon cancer study.

UR - http://www.scopus.com/inward/record.url?scp=34247515293&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34247515293&partnerID=8YFLogxK

U2 - 10.1177/0962280206071929

DO - 10.1177/0962280206071929

M3 - Article

C2 - 17484298

AN - SCOPUS:34247515293

VL - 16

SP - 155

EP - 166

JO - Statistical Methods in Medical Research

JF - Statistical Methods in Medical Research

SN - 0962-2802

IS - 2

ER -