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Statistical 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 CuzickStatistics 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.The Cochrane Database of Systematic Reviews|October 26, 2021
Mammographic density, endocrine therapy and breast cancer risk: a prognostic and predictive biomarker reviewEmma C Atakpa, Mangesh A Thorat, Jack Cuzick, et al.JAMA Oncology|April 6, 2018
Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast DensityAdam R Brentnall, Jack Cuzick, Diana S M Buist, et al.Gynecologic Oncology|February 11, 2014
Credentialing of DNA methylation assays for human genes as diagnostic biomarkers of cervical intraepithelial neoplasia in high-risk HPV positive womenNataša Vasiljević, Dorota Scibior-Bentkowska, Adam R Brentnall, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 18, 2020
External validation of a mammographic texture marker for breast cancer risk in a case-control studyChao Wang, Adam R Brentnall, James Mainprize, et al.Breast Cancer Research : BCR|October 20, 2017
A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studiesChao Wang, Adam R Brentnall, Jack Cuzick, et al.Breast Cancer Research : BCR|June 10, 2018
Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholdsChao Wang, Adam R Brentnall, Jack Cuzick, et al.Pageof 40