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Journal of the National Cancer Institute|October 14, 2024
More efficient, smaller multicancer screening trialsPeter Sasieni, Adam R BrentnallStatistical Science : a Review Journal of the Institute of Mathematical Statistics|April 1, 2020
Risk Models for Breast Cancer and Their ValidationAdam R Brentnall, Jack CuzickStatistical Methods in Medical Research|December 7, 2016
Use of the concordance index for predictors of censored survival dataAdam R Brentnall, Jack CuzickStatistics in Medicine|March 16, 2017
Estimating efficacy in trials with selective crossoverAdam R Brentnall, Peter Sasieni, Jack CuzickBritish Journal of Cancer|April 13, 2024
Predictable changes in the accuracy of human papillomavirus tests after vaccination: review with implications for performance monitoring in cervical screeningMatejka Rebolj, Adam R Brentnall, Kate CuschieriEclinicalmedicine|April 20, 2026
Evaluating the basis for use of advanced stage as a surrogate endpoint for cancer mortality in screening trials: a simulation study of meta-correlation and an alternative frameworkPeter D Sasieni, Adam R Brentnall, Stephen W DuffyStatistics in Medicine|October 17, 2014
A concordance index for matched case-control studies with applications in cancer riskAdam R Brentnall, Jack Cuzick, John Field, et al.Journal of Clinical Epidemiology|December 8, 2023
Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screeningAdam R Brentnall, Kate Cuschieri, Alexandra Sargent, et al.Breast Cancer Research : BCR|February 7, 2024
Are better AI algorithms for breast cancer detection also better at predicting risk? A paired case-control studyRuggiero Santeramo, Celeste Damiani, Jiefei Wei, et al.Pageof 8