Titre : | Correcting for Lead Time and Length Bias in Estimating the Effect of Screen Detection on Cancer Survival. (2008) |
Auteurs : | Stephen-W DUFFY ; Prue-C ALLGOOD ; Fay-H CAFFERTY ; HOUSSAMI (Nehmat) : AUS. Screening and Test Evaluation Program. School of Public Health. University of Sydney. Sydney. ; Olive KEARINS ; Gill LAWRENCE ; NAGTEGAAL (Iris-D) : NLD. Department of Pathology. Dutch Cancer Society. Nijmegen. ; Emma O'SULLIVAN ; Nancy TAPPENDEN ; WALLIS (Matthew) : GBR. Cambridge Breast Unit. Addenbrooke's Hospital. Cambridge. ; Jane WARWICK ; Cancer Research Uk Centre for Epidemiology. Mathematics and Statistics. Wolfson Institute for Preventive Medicine. London. GBR ; West Midlands Breast Screening Quality Assurance Reference Centre. University of Birmingham. Birmingham. GBR |
Type de document : | Article |
Dans : | American journal of epidemiology (vol. 168, n° 1, 2008) |
Pagination : | 98-104 |
Langues: | Anglais |
Mots-clés : | Cancer ; Biais ; Estimation ; Dépistage ; Survie ; Prévention santé ; Modèle ; Epidémiologie ; Homme |
Résumé : | [BDSP. Notice produite par INIST-CNRS F8pnHR0x. Diffusion soumise à autorisation]. 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 pre-clinical 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. |