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PMID: 18504245 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Correcting for lead time and length bias in estimating the effect of screen detection on cancer survival.

American journal of epidemiology ·Vol. 168 ·No. 1 ·2008-07-01 ·Pages 98-104

Duffy SW, Nagtegaal ID, Wallis M, Cafferty FH, Houssami N, Warwick J, Allgood PC, Kearins O, Tappenden N, O'Sullivan E, Lawrence G

Abstract

Determination of survival time among persons with screen-detected cancer is subject to lead time and length biases. The authors propose a simple correction for lead time, assuming an exponential distribution of the preclinical screen-detectable period. Assuming two latent categories of tumors, one of which is more prone to screen detection and correspondingly less prone to death from the cancer in question, the authors have developed a strategy of sensitivity analysis for various magnitudes of length bias. Here they demonstrate these methods using a series of 25,962 breast cancer cases (1988-2004) from the West Midlands, United Kingdom.

MeSH Terms
Aged Bias Breast Neoplasms/diagnosis,epidemiology,mortality Confidence Intervals Female Humans Mass Screening Middle Aged Models, Statistical Sensitivity and Specificity Time Factors United Kingdom/epidemiology
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Duffy Stephen W
Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute for Preventive Medicine, London, United Kingdom.
Nagtegaal Iris D
Wallis Matthew
Cafferty Fay H
Houssami Nehmat
Warwick Jane
Allgood Prue C
Kearins Olive
Tappenden Nancy
O'Sullivan Emma
Lawrence Gill
Article Info
Journal
American journal of epidemiology
Abbr.
Am J Epidemiol
ISSN
1476-6256
Published
2008-07-01
Epub
2008-00-25
Pages
98-104
Language
English
Region
United States
NLM ID
7910653
Subset
IM
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