Quantification of length-bias in screening trials with covariate-dependent test sensitivity
Author:
Affiliation:
1. Department of Pediatrics; University of Washington; Seattle WA 98121 USA
2. Department of Statistics; University of Virginia; Charlottesville VA 22903 USA
3. National Cancer Institute; Bethesda MD 20892 USA
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/bimj.201400152/fullpdf
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4. A simulation model investigating the impact of tumor volume doubling time and mammographic tumor detectability on screening outcomes in women aged 40-49 years;Bailey;Journal of the National Cancer Institute,2010
5. Using observational data to estimate an upper bound on the reduction in cancer mortality due to periodic screening;Baker;BMC Medical Research Methodology,2003
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