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

被引：211

作者：

Duffy, Stephen W. ^{[1
]}

Nagtegaal, Iris D. ^{[2
]}

Wallis, Matthew ^{[3
]}

Cafferty, Fay H. ^{[1
]}

Houssami, Nehmat ^{[4
]}

Warwick, Jane ^{[1
]}

Allgood, Prue C. ^{[1
]}

Kearins, Olive ^{[5
]}

Tappenden, Nancy ^{[5
]}

O'Sullivan, Emma ^{[5
]}

Lawrence, Gill ^{[5
]}

机构：

[1] Wolfson Inst Prevent Med, Canc Res UK Ctr Epidemiol Math & Stat, London WC1M 6BQ, England

[2] Dutch Canc Soc, Dept Pathol, Nijmegen, Netherlands

[3] Addenbrookes Hosp, Cambridge Breast Unit, Cambridge, England

[4] Univ Sydney, Sch Publ Hlth, Screening & Test Evaluat Program, Sydney, NSW 2006, Australia

[5] Univ Birmingham, W Midlands Breast Screening Qual Assurance Refere, Birmingham, W Midlands, England

来源：

AMERICAN JOURNAL OF EPIDEMIOLOGY | 2008年 / 168卷 / 01期

关键词：

bias (epidemiology); breast neoplasms; mass screening; models; statistical; survival;

D O I：

10.1093/aje/kwn120

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

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.

引用

页码：98 / 104

页数：7

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