Correcting for Lead Time and Length Bias in Estimating the Effect of Screen Detection on Cancer Survival
Open Access
- 13 May 2008
- journal article
- research article
- Published by Oxford University Press (OUP) in American Journal of Epidemiology
- Vol. 168 (1), 98-104
- https://doi.org/10.1093/aje/kwn120
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.This publication has 13 references indexed in Scilit:
- Screening younger women with a family history of breast cancer – does early detection improve outcome?European Journal of Cancer, 2006
- Overdiagnosis, Sojourn Time, and Sensitivity in the Copenhagen Mammography Screening ProgramThe Breast Journal, 2006
- Estimating mean sojourn time and screening test sensitivity in breast cancer mammography screening: new resultsJournal of Medical Screening, 2005
- Estimation of age‐specific sensitivity and sojourn time in breast cancer screening studiesStatistics in Medicine, 2005
- Quantifying the potential problem of overdiagnosis of ductal carcinoma in situ in breast cancer screeningEuropean Journal of Cancer, 2003
- THE SWEDISH TWO-COUNTY TRIAL TWENTY YEARS LATER: Updated Mortality Results and New Insights from Long-Term Follow-upRadiologic Clinics of North America, 2000
- Randomised controlled trial of faecal-occult-blood screening for colorectal cancerThe Lancet, 1996
- Modelling the Analysis of Breast Cancer Screening Programmes: Sensitivity, Lead Time and Predictive Value in the Florence District Programme (1975–1986)International Journal of Epidemiology, 1991
- Evaluating the survival of cancer cases detected by screeningStatistics in Medicine, 1987
- On the theory of screening for chronic diseasesBiometrika, 1969