Bayesian inference for the lead time in periodic cancer screening

Dongfeng Wu, Gary Rosner, Lyle D. Broemeling

Research output: Contribution to journalArticle

Abstract

This article develops a probability distribution for the lead time in periodic cancer screening examinations. The general aim is to allow statistical inference for a screening program's lead time, the length of time the diagnosis is advanced by screening. The program's lead time is distributed as a mixture of a point mass and a piecewise continuous distribution. Simulation studies using the HIP (Health Insurance Plan for Greater New York) study's data provide estimates of different characteristics of a screening program under different screening frequencies. The components of this mixture represent two aspects of screening's benefit, namely, a reduction in the number of interval cases and the extent by which screening advanced the age of diagnosis. We present estimates of these two measures for participants in a breast cancer screening program. We also provide the mean, mode, variance, and density curve of the program's lead time. The model can provide policy makers with important information regarding the screening period, frequency, and the endpoints that may serve as surrogates for the benefit to women who take part in a periodic screening program. Though the study focuses on breast cancer screening, it is also applicable to other kinds of chronic disease.

Original languageEnglish (US)
Pages (from-to)873-880
Number of pages8
JournalBiometrics
Volume63
Issue number3
DOIs
StatePublished - Sep 2007
Externally publishedYes

Fingerprint

Bayesian inference
Early Detection of Cancer
Screening
Cancer
screening
neoplasms
Breast Neoplasms
Health Insurance
Administrative Personnel
Breast Cancer
breast neoplasms
Chronic Disease
Health insurance
health insurance
Hot isostatic pressing
Piecewise continuous
Continuous Distributions
probability distribution
Statistical Inference
endpoints

Keywords

  • Breast cancer
  • Early detection
  • Lead time
  • Periodic screening exams
  • Sensitivity
  • Sojourn time
  • Transition probability

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Public Health, Environmental and Occupational Health
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics
  • Statistics and Probability

Cite this

Bayesian inference for the lead time in periodic cancer screening. / Wu, Dongfeng; Rosner, Gary; Broemeling, Lyle D.

In: Biometrics, Vol. 63, No. 3, 09.2007, p. 873-880.

Research output: Contribution to journalArticle

Wu, Dongfeng ; Rosner, Gary ; Broemeling, Lyle D. / Bayesian inference for the lead time in periodic cancer screening. In: Biometrics. 2007 ; Vol. 63, No. 3. pp. 873-880.
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