Dr Adam BrentnallSenior Lecturer in BiostatisticsEmail: a.brentnall@qmul.ac.uk Telephone: Tel: +44 (0) 20 7882 3531ProfileResearchPublicationsProfileI am a Senior Lecturer in Biostatistics in the Centre for Evaluation and Methods, and fellow of the Digital Environment Research Institute (DERI). I work closely with colleagues in the Centre for Prevention, Detection and Diagnosis. I co-lead a research methods module for MSc programmes at Barts Cancer Institute. I have previously worked on problems in operational research, including in retail finance and aircraft scheduling. I am currently serving as member of a NICE committee for Ovarian cancer guidelines development on identifying and managing familial and genetic risk. I support several clinical trial steering and data safety monitoring committees as statistician. I am standing member Cancer Research UK's Expert Review Panel on Early Detection & Diagnosis Trials, Behavioural, Health Systems and Health Economics Research. ResearchResearch Interests:My work mainly focuses on cancer prevention and early detection, particularly risk stratification. This includes in the design and analysis of epidemiological, clinical trials and laboratory studies, and in developing statistical methodology driven by these studies. I also collaborate in other healthcare and biomedical science areas, such as in helping to design and analyse research studies. I enjoy learning about new areas and working in multidisciplinary teams.PublicationsPlease click through to see a complete list of Adam’s publications Outstanding publications Brentnall AR, Cuzick J. Risk Models for Breast Cancer and Their Validation. Stat Sci. 2020;35(1):14-30. doi:10.1214/19-STS729 Sasieni P, Brentnall AR. On standardized relative survival. Biometrics. 2017 Jun;73(2):473-482. Epub 2016 Aug 23. PMID: 27554303; PMCID: PMC5507182. doi: 10.1111/biom.12578. Brentnall AR, Cuzick J, Buist DSM, Bowles EJA. Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density. JAMA Oncol. 2018;4(9):e180174. doi:10.1001/jamaoncol.2018.0174. Brentnall AR, Cuzick J. Use of the concordance index for predictors of censored survival data. Statistical Methods in Medical Research. 2018;27(8):2359-2373. doi.org/10.1177/0962280216680245. Brentnall, A.R., Harkness, E.F., Astley, S.M. et al. Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Res 17, 147 (2015). doi.org/10.1186/s13058-015-0653-5. Manchanda R, Wei X, Sun L et al. (2024). Cost-effectiveness analysis of cancer susceptibility gene-specific prevention strategies for ovarian and breast cancer. nameOfConference DOI: 10.1016/j.ygyno.2024.07.233 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/100488 Sasieni P, Brentnall AR (2024). More Efficient Smaller Multi-Cancer Screening Trials. nameOfConference DOI: 10.1093/jnci/djae251 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/100740 Hill H, Roadevin C, Duffy S et al. (2024). Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening. nameOfConference DOI: 10.1001/jamanetworkopen.2024.31715 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/99347 Faheem M, Tam HZ, Nojoum M et al. (2024). Role of Supplemental Breast MRI in Screening Women with Mammographically Dense Breasts: A Systematic Review and Meta-analysis. nameOfConference DOI: 10.1093/jbi/wbae019 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/98054 Slade E, Berg L, Dworzynski K et al. (publicationYear). Ovarian cancer: identifying and managing familial and genetic risk—summary of new NICE guidance. nameOfConference DOI: 10.1136/bmj.q807 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/96695 Law R, Krupa K, Brentnall A et al. (2024). CANCER-RELATED ANXIETY AND PERCEIVED BREAST CANCER RISK IN PARTICIPANTS OF A RANDOMISED PILOT STUDY OF LIFESTYLE INTERVENTION TO REDUCE BREAST CANCER RISK (PIONEER). nameOfConference DOI: 10.1016/j.ejso.2024.108080 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/96776 Law R, Krupa K, Brentnall A et al. (2024). Pilot of lifestyle intervention to reduce breast cancer risk (PIONEER): A randomised study. nameOfConference DOI: 10.1016/j.ejso.2024.108169 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/96777 Rebolj M, Brentnall AR, Cuschieri K (2024). Predictable changes in the accuracy of human papillomavirus tests after vaccination: review with implications for performance monitoring in cervical screening.. nameOfConference DOI: 10.1038/s41416-024-02681-z QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95879 Gilham C, Nedjai B, Scibior‐Bentkowska D et al. (2024). Long‐term prediction by DNA methylation of high‐grade cervical intraepithelial neoplasia: Results of the ARTISTIC cohort. nameOfConference DOI: 10.1002/ijc.34913 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/97876 Manchanda R, Evans DG, Antoniou AC et al. (publicationYear). Penetrance estimates of hereditary cancers in a population setting using UK Biobank data. nameOfConference DOI: 10.1038/s44276-023-00021-x QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95646 Wei X, Sun L, Slade E et al. (2024). 443 Cost-effectiveness analysis of cancer susceptibility gene-specific prevention strategies for ovarian and breast cancer. Oral Sessions DOI: 10.1136/ijgc-2024-esgo.50 QMRO: qmroHref Wei X, Sun L, Slade E et al. (2024). Cost-Effectiveness of Gene-Specific Prevention Strategies for Ovarian and Breast Cancer. nameOfConference DOI: 10.1001/jamanetworkopen.2023.55324 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/94579 Santeramo R, Damiani C, Wei J et al. (2024). Are better AI algorithms for breast cancer detection also better at predicting risk? A paired case–control study. nameOfConference DOI: 10.1186/s13058-024-01775-z QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/101032 Pegington M, Zhen Tam H, Brentnall A et al. (2024). Body composition changes during breast cancer preventive treatment with anastrozole: Findings from the IBIS-II trial.. nameOfConference DOI: 10.1016/j.pmedr.2024.102620 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/94374 Brentnall AR, Cuschieri K, Sargent A et al. (2024). Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screening.. nameOfConference DOI: 10.1016/j.jclinepi.2023.111227 QMRO: qmroHref Cuzick J, Chu K, Keevil B et al. (2024). Effect of baseline oestradiol serum concentration on the efficacy of anastrozole for preventing breast cancer in postmenopausal women at high risk: a case-control study of the IBIS-II prevention trial. nameOfConference DOI: 10.1016/s1470-2045(23)00578-8 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93046 Wei X, Sun L, Slade E et al. (2023). EE675 Cost-Effectiveness Analysis of Cancer Susceptibility Gene-Specific Prevention and Surveillance Strategies for Ovarian and Breast Cancer. nameOfConference DOI: 10.1016/j.jval.2023.09.940 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93539 Brentnall AR, Atakpa EC, Hill H et al. (publicationYear). An optimization framework to guide the choice of thresholds for risk-based cancer screening. nameOfConference DOI: 10.1038/s41746-023-00967-9 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92906 Atakpa EC, Buist DSM, Aiello Bowles EJ et al. (2023). Development and evaluation of a method to assess breast cancer risk using a longitudinal history of mammographic density: a cohort study.. nameOfConference DOI: 10.1186/s13058-023-01744-y QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92909 Swanton C, Bachtiar V, Mathews C et al. (2023). 1239P NHS-Galleri trial enrolment approaches and participant sociodemographic diversity. nameOfConference DOI: 10.1016/j.annonc.2023.09.2328 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93632 Roberts E, van Veen EM, Byers H et al. (2023). Breast cancer polygenic risk scores derived in White European populations are not calibrated for women of Ashkenazi Jewish descent.. nameOfConference DOI: 10.1016/j.gim.2023.100963 QMRO: qmroHref Brentnall AR, Mathews C, Beare S et al. (2023). Dynamic data-enabled stratified sampling for trial invitations with application in NHS-Galleri.. nameOfConference DOI: 10.1177/17407745231167369 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92907 Shepherd JM, Ross J, Anton L et al. (2023). Safety and efficacy of artesunate treatment in severely injured patients with traumatic hemorrhage. The TOP-ART randomized clinical trial.. nameOfConference DOI: 10.1007/s00134-023-07135-3 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/89846 Damiani C, Kalliatakis G, Sreenivas M et al. (2023). Evaluation of an AI Model to Assess Future Breast Cancer Risk.. nameOfConference DOI: 10.1148/radiol.222679 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92908 Faheem M, Thompson EW, Aggarwal S et al. (2023). Role of breast MRI in screening women with dense breasts: A systematic review. nameOfConference DOI: 10.1016/j.ejso.2023.03.015 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/86539 Gareth Evans D, McWilliams L, Astley S et al. (2023). Correction To: Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420). nameOfConference DOI: 10.1038/s41416-023-02273-3 QMRO: qmroHref Roberts E, van Veen EM, Byers H et al. (2023). Breast cancer polygenic risk scores derived in White European populations are not calibrated for women of Ashkenazi Jewish descent.. nameOfConference DOI: 10.1016/j.gim.2023.100846 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/86170 Wei X, Oxley S, Sideris M et al. (2023). Quality of life after risk-reducing surgery for breast and ovarian cancer prevention: a systematic review and meta-analysis.. nameOfConference DOI: 10.1016/j.ajog.2023.03.045 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/85819 Gareth Evans D, McWilliams L, Astley S et al. (2023). Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420). nameOfConference DOI: 10.1038/s41416-023-02250-w QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/85697 Atakpa EC, Cuzick J, Duffy SW et al. (2023). Abstract PD14-01: PD14-01 A model to assess the utility of risk-based screening algorithms. nameOfConference DOI: 10.1158/1538-7445.sabcs22-pd14-01 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/85698 Oxley S, Kalra A, Sideris M et al. (publicationYear). Impact of Multiple COVID-19 Waves on Gynaecological Cancer Services in the UK. nameOfConference DOI: 10.3390/cancers15041273 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84629 Paige JS, Lee CI, Wang P-C et al. (2023). Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman. nameOfConference DOI: 10.1007/s11606-023-08043-4 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84472 Pegington M, Harvie M, Harkness EF et al. (2023). Obesity at age 20 and weight gain during adulthood increase risk of total and premature all-cause mortality: findings from women attending breast screening in Manchester.. nameOfConference DOI: 10.1186/s12905-023-02162-0 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/83906 Doorbar JA, Mathews CS, Denton K et al. (2022). Supporting the implementation of new healthcare technologies by investigating generalisability of pilot studies using area-level statistics.. nameOfConference DOI: 10.1186/s12913-022-08735-3 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84473 Crocker-Buque T, Myles J, Brentnall A et al. (publicationYear). Using ISARIC 4C mortality score to predict dynamic changes in mortality risk in COVID-19 patients during hospital admission. nameOfConference DOI: 10.1371/journal.pone.0274158 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/82529 Brentnall AR, Rebolj M (2022). Comments on: "Meta-analysis of agreement/concordance statistics in studies comparing self- vs clinician-collected samples for HPV testing in cervical cancer screening".. nameOfConference DOI: 10.1002/ijc.34014 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/78050 Evans DGR, van Veen EM, Harkness EF et al. (2022). Breast cancer risk stratification in women of screening age: Incremental effects of adding mammographic density, polygenic risk, and a gene panel. nameOfConference DOI: 10.1016/j.gim.2022.03.009 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/78052 Atakpa EC, Thorat MA, Cuzick J et al. (publicationYear). Mammographic density, endocrine therapy and breast cancer risk: a prognostic and predictive biomarker review. nameOfConference DOI: 10.1002/14651858.cd013091.pub2 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/74990 Evans DG, van Veen EM, Byers H et al. (2022). The importance of ethnicity: Are breast cancer polygenic risk scores ready for women who are not of White European origin?. nameOfConference DOI: 10.1002/ijc.33782 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/74937 Atakpa EC, Brentnall AR, Astley S et al. (publicationYear). The Relationship between Body Mass Index and Mammographic Density during a Premenopausal Weight Loss Intervention Study. nameOfConference DOI: 10.3390/cancers13133245 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/74688 Leventea E, Harkness EF, Brentnall AR et al. (publicationYear). Is Breast Cancer Risk Associated with Menopausal Hormone Therapy Modified by Current or Early Adulthood BMI or Age of First Pregnancy?. nameOfConference DOI: 10.3390/cancers13112710 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/78051 Crocker-Buque T, Williams S, Brentnall AR et al. (2021). The Barts Health NHS Trust COVID-19 cohort: characteristics, outcomes and risk scoring of patients in East London.. nameOfConference DOI: 10.5588/ijtld.20.0926 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/71138 Belaya JA, Zakharova NA, Brentnall AR (publicationYear). Реализация маммографического скрининга в Ханты-Мансийском автономном округе – Югре. nameOfConference DOI: 10.17650/1994-4098-2020-16-3-32-36 QMRO: qmroHref Brentnall AR, Duffy SW (2020). Calculating, Using and Improving Individual Breast Cancer Risk Estimates. nameOfConference DOI: 10.1007/978-3-030-41207-4_20 QMRO: qmroHref Ramírez AT, Sánchez GI, Nedjai B et al. (publicationYear). Effective methylation triage of HPV positive women with abnormal cytology in a middle- 2 income country. nameOfConference DOI: 10.1002/ijc.33314 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/67764 Brentnall AR, Warren R, Harkness EF et al. (2020). Mammographic density change in a cohort of premenopausal women receiving tamoxifen for breast cancer prevention over 5 years. nameOfConference DOI: 10.1186/s13058-020-01340-4 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67781 Manchanda R, Sun L, Patel S et al. (publicationYear). Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems. nameOfConference DOI: 10.3390/cancers12071929 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/68194 French DP, Astley S, Brentnall AR et al. (2020). What are the benefits and harms of risk stratified screening as part of the NHS breast screening Programme? Study protocol for a multi-site non-randomised comparison of BC-predict versus usual screening (NCT04359420). nameOfConference DOI: 10.1186/s12885-020-07054-2 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/65329 Brentnall AR, van Veen EM, Harkness EF et al. (2020). A case-control evaluation of 143 single nucleotide polymorphisms for breast cancer risk stratification with classical factors and mammographic density.. nameOfConference DOI: 10.1002/ijc.32541 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/59200 Renehan AG, Pegington M, Harvie MN et al. (2020). Young adulthood body mass index, adult weight gain and breast cancer risk: the PROCAS Study (United Kingdom). nameOfConference DOI: 10.1038/s41416-020-0807-9 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67022 Brentnall AR, Cuzick J (2020). Risk Models for Breast Cancer and Their Validation.. nameOfConference DOI: 10.1214/19-sts729 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/63622 Law RS, Pitches C, Krupa K et al. (2020). Abstract OT3-15-01: Pilot of lifestyle InterventiON to reducE brEast cancer Risk (PIONEER): A randomised study. nameOfConference DOI: 10.1158/1538-7445.sabcs19-ot3-15-01 QMRO: qmroHref Wang C, Brentnall AR, Mainprize J et al. (2020). External validation of a mammographic texture marker for breast cancer risk in a case–control study. nameOfConference DOI: 10.1117/1.jmi.7.1.014003 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/64579 Moore KM, Desai A, de Luxán Delgado B et al. (2020). Integrin αvβ6-specific therapy for pancreatic cancer developed from foot-and-mouth-disease virus. nameOfConference DOI: 10.7150/thno.38702 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/64292 Bright CJ, Brentnall AR, Wooldrage K et al. (2020). Errors in determination of net survival: cause-specific and relative survival settings. nameOfConference DOI: 10.1038/s41416-020-0739-4 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/63283 Sun L, Brentnall A, Patel S et al. (2019). Should we offer multi-gene testing to all patients with breast cancer: a cost-effectiveness analysis. Oral Communication 4 – Gynaecological Cancer DOI: 10.1136/ijgc-2019-esgo.31 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67596 Sun L, Brentnall A, Patel S et al. (publicationYear). A Cost-effectiveness Analysis of Multigene Testing for All Patients with Breast Cancer. nameOfConference DOI: 10.1001/jamaoncol.2019.3323 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/64584 Manchanda R, Sun L, Patel S et al. (2019). 10 Global economic evaluation of population-based BRCA1/BRCA2 mutation testing. Plenary sessions DOI: 10.1136/ijgc-2019-igcs.10 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/63059 Sun L, Brentnall A, Patel S et al. (2019). 66 Should we offer multi-gene testing to all patients with breast cancer: a cost-effectiveness analysis. nameOfConference DOI: 10.1136/ijgc-2019-igcs.66 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/65196 Rebolj M, Brentnall AR, Mathews C et al. (2019). 16/18 genotyping in triage of persistent human papillomavirus infections with negative cytology in the English cervical screening pilot. nameOfConference DOI: 10.1038/s41416-019-0547-x QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/59552 Reader CS, Vallath S, Steele CW et al. (2019). The integrin αvβ6 drives pancreatic cancer through diverse mechanisms and represents an effective target for therapy. nameOfConference DOI: 10.1002/path.5320 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/58426 Brentnall AR, Cohn WF, Knaus WA et al. (2019). A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model. nameOfConference DOI: 10.1093/jbi/wbz006 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/58801 Cuzick J, Brentnall A (2019). Commentary on Terry et al., 10-Year Performance of Four Models of Breast Cancer Risk: A Validation Study. Lancet Oncol. 2019;20(4):504-17. nameOfConference DOI: 10.20900/mo.20190006 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/61141 Evans DGR, Harkness EF, Brentnall AR et al. (2019). Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants. nameOfConference DOI: 10.1007/s10549-019-05210-2 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/58802 Escala-Garcia M, Guo Q, Dörk T et al. (2019). Genome-wide association study of germline variants and breast cancer-specific mortality. nameOfConference DOI: 10.1038/s41416-019-0393-x QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/56178 Evans DG, Thomas S, Caunt J et al. (2019). Final Results of the Prospective FH02 Mammographic Surveillance Study of Women Aged 35-39 at Increased Familial Risk of Breast Cancer.. nameOfConference DOI: 10.1016/j.eclinm.2019.01.005 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/57096 Ionescu GV, Fergie M, Berks M et al. (2019). Prediction of reader estimates of mammographic density using convolutional neural networks. nameOfConference DOI: 10.1117/1.jmi.6.3.031405 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/55611 Cook DA, Krajden M, Brentnall AR et al. (2019). Evaluation of a validated methylation triage signature for human papillomavirus positive women in the HPV FOCAL cervical cancer screening trial. nameOfConference DOI: 10.1002/ijc.31976 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/51583 Mavaddat N, Michailidou K, Dennis J et al. (2019). Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. nameOfConference DOI: 10.1016/j.ajhg.2018.11.002 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/56076 Brentnall AR, Buist DSM, Cuzick J (2018). Competing Risks for a Diagnosis of Invasive Breast Cancer-Reply.. nameOfConference DOI: 10.1001/jamaoncol.2018.5102 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/58281 Rebolj M, Brentnall A, Duffy SW (2018). Reply to ‘Comment on ‘Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta-analysis”. nameOfConference DOI: 10.1038/s41416-018-0247-y QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/56395 Zakharova NA, Brentnall AR, Belaya J et al. (2018). 1595P 10-year results of the breast cancer screening program in Khanty-Mansiysk state region Ugra. nameOfConference DOI: 10.1093/annonc/mdy297.036 QMRO: qmroHref Brentnall AR, Cuzick J, Buist DSM et al. (2018). Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density.. nameOfConference DOI: 10.1001/jamaoncol.2018.0174 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/36390 Buus R, Yeo B, Brentnall AR et al. (2018). Novel 18-gene signature for predicting relapse in ER-positive, HER2-negative breast cancer. nameOfConference DOI: 10.1186/s13058-018-1040-9 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/44789 Atakpa EC, Thorat MA, Cuzick J et al. (2018). Mammographic density, endocrine therapy and breast cancer risk: A prognostic and predictive biomarker review. nameOfConference DOI: 10.1002/14651858.CD013091 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/44367 Ionescu GV, Fergie M, Berks M et al. (2018). Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment. 14th International Workshop on Breast Imaging (IWBI 2018) DOI: 10.1117/12.2318464 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/63614 Wang C, Brentnall AR, Cuzick J et al. (2018). Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholds. nameOfConference DOI: 10.1186/s13058-018-0979-x QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/39963 Rebolj M, Assi V, Brentnall A et al. (2018). Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta-analysis.. nameOfConference DOI: 10.1038/s41416-018-0080-3 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/45083 van Veen EM, Brentnall AR, Byers H et al. (2018). Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction.. nameOfConference DOI: 10.1001/jamaoncol.2017.4881 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/37663 Astley SM, Harkness EF, Sergeant JC et al. (2018). A comparison of five methods of measuring mammographic density: a case-control study. nameOfConference DOI: 10.1186/s13058-018-0932-z QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/32385 Evans DG, Brentnall AR, Harvie M et al. (2018). Breast cancer risk in a screening cohort of Asian and white British/Irish women from Manchester UK.. nameOfConference DOI: 10.1186/s12889-018-5090-9 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/31783 van Veen EM, Harkness EF, Brentnall AR et al. (2018). Improving breast cancer risk prediction by combining 18 SNPs, mammographic density and the Tyrer-Cuzick model. nameOfConference DOI: doi QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67501 Brentnall AR, Cheng RCH (2009). Some effects of aircraft arrival sequence algorithms. nameOfConference DOI: 10.1057/palgrave.jors.2602636 QMRO: qmroHref Brentnall A (2007). Discrete-Event System Simulation (International Edition). nameOfConference DOI: 10.1057/palgrave.jos.4250022 QMRO: qmroHref Cuzick J, Brentnall A, Dowsett M (2017). SNPs for breast cancer risk assessment.. nameOfConference DOI: 10.18632/oncotarget.22278 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/31333 Howell A, Ashcroft L, Fallowfield L et al. (2018). RAZOR: A Phase II Open Randomized Trial of Screening Plus Goserelin and Raloxifene Versus Screening Alone in Premenopausal Women at Increased Risk of Breast Cancer.. nameOfConference DOI: 10.1158/1055-9965.epi-17-0158 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/25368 Wang C, Brentnall AR, Cuzick J et al. (2017). A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies.. nameOfConference DOI: 10.1186/s13058-017-0906-6 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/28809 Vasiljević N, Carter PD, Reuter C et al. (2017). Role of quantitative p16INK4A mRNA assay and digital reading of p16INK4A immunostained sections in diagnosis of cervical intraepithelial neoplasia.. nameOfConference DOI: 10.1002/ijc.30783 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/23532 Brentnall AR, Sasieni P, Cuzick J (2017). Estimating efficacy in trials with selective crossover.. nameOfConference DOI: 10.1002/sim.7275 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/22470 Brentnall AR, Duffy SW, Cuzick J (2017). Breast-Cancer Tumor Size and Screening Effectiveness. nameOfConference DOI: 10.1056/NEJMc1614282 QMRO: qmroHref Brentnall AR, Cuzick J (2018). Use of the concordance index for predictors of censored survival data. nameOfConference DOI: 10.1177/0962280216680245 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/18788 Cuzick J, Brentnall AR, Segal C et al. (2017). Impact of a Panel of 88 Single Nucleotide Polymorphisms on the Risk of Breast Cancer in High-Risk Women: Results From Two Randomized Tamoxifen Prevention Trials.. nameOfConference DOI: 10.1200/jco.2016.69.8944 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/16158 Evans DG, Brentnall A, Byers H et al. (2017). The impact of a panel of 18 SNPs on breast cancer risk in women attending a UK familial screening clinic: a case-control study.. nameOfConference DOI: 10.1136/jmedgenet-2016-104125 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/16742 Sasieni P, Brentnall AR (2017). On standardized relative survival.. nameOfConference DOI: 10.1111/biom.12578 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/14905 Evans DG, Astley S, Stavrinos P et al. (publicationYear). Improvement in risk prediction, early detection and prevention of breast cancer in the NHS Breast Screening Programme and family history clinics:a dual cohort study. nameOfConference DOI: 10.3310/pgfar04110 QMRO: qmroHref Brentnall AR, Cuzick J, Byers H et al. (2016). Relationship of ZNF423 and CTSO with breast cancer risk in two randomised tamoxifen prevention trials.. nameOfConference DOI: 10.1007/s10549-016-3885-x QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/15403 Astley S, Harkness E, Sergeant J et al. (2016). 13 Proffered Paper: A comparison of four methods of mammographic density measurement in the UK Predicting Risk Of Cancer At Screening (PROCAS) study – on behalf of the PROCAS Study team. nameOfConference DOI: 10.1016/s0959-8049(16)61013-4 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/66429 Evans DGR, Donnelly LS, Harkness EF et al. (2016). Breast cancer risk feedback to women in the UK NHS breast screening population. nameOfConference DOI: 10.1038/bjc.2016.56 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/62277 Evans D, Astley S, Brentnall A et al. (2016). Abstract PD1-07: Mammographic density and SNPs add to Tyrer-Cuzick and Gail model breast cancer risk in a UK screening cohort. nameOfConference DOI: 10.1158/1538-7445.sabcs15-pd1-07 QMRO: qmroHref Lorincz AT, Brentnall AR, Scibior‐Bentkowska D et al. (2016). Validation of a DNA methylation HPV triage classifier in a screening sample. nameOfConference DOI: 10.1002/ijc.30008 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/12311 Astley S, Harkness E, Sergeant J et al. (2016). A comparison of four methods of mammographic density measurement in the UK Predicting Risk Of Cancer At Screening (PROCAS) study - on behalf of the PROCAS Study team. nameOfConference DOI: 10.1016/S0959-8049(16)61013-4 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/74803 Brentnall AR, Harkness EF, Astley SM et al. (2015). Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. nameOfConference DOI: 10.1186/s13058-015-0653-5 QMRO: qmroHref Brentnall AR, Cuzick J (2015). Atypical hyperplasia of the breast.. nameOfConference DOI: 10.1056/nejmc1501046 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/11984 Brentnall AR, Cuzick J, Field J et al. (2015). A concordance index for matched case-control studies with applications in cancer risk.. nameOfConference DOI: 10.1002/sim.6335 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/12301 Brentnall AR, Cuzick J (2015). Atypical Hyperplasia of the Breast. nameOfConference DOI: 10.1056/NEJMc1501046 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/7565 Brentnall AR, Vasiljevic N, Scibior-Bentkowska D et al. (2015). HPV33 DNA methylation measurement improves cervical pre-cancer risk estimation of an HPV16, HPV18, HPV31 and \textit{EPB41L3} methylation classifier. nameOfConference DOI: 10.3233/cbm-150507 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/9289 Assi V, Massat NJ, Thomas S et al. (2015). A case‐control study to assess the impact of mammographic density on breast cancer risk in women aged 40–49 at intermediate familial risk. nameOfConference DOI: 10.1002/ijc.29275 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/6662 Warwick J, Birke H, Stone J et al. (2014). Mammographic breast density refines Tyrer-Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I. nameOfConference DOI: 10.1186/s13058-014-0451-5 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/10782 Evans DG, Brentnall AR, Harvie M et al. (2014). Breast cancer risk in young women in the national breast screening programme: implications for applying NICE guidelines for additional screening and chemoprevention.. nameOfConference DOI: 10.1158/1940-6207.CAPR-14-0037 QMRO: qmroHref Brentnall AR, Vasiljević N, Scibior-Bentkowska D et al. (2014). A DNA methylation classifier of cervical precancer based on human papillomavirus and human genes.. nameOfConference DOI: 10.1002/ijc.28790 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/11422 Moore KM, Thomas GJ, Duffy SW et al. (2014). Therapeutic targeting of integrin αvβ6 in breast cancer.. nameOfConference DOI: 10.1093/jnci/dju169 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/8829 Moore KM, Thomas GJ, Duffy SW et al. (2013). Abstract B046: Therapeutic targeting of integrin αvβ6 in high-risk breast cancer. nameOfConference DOI: 10.1158/1557-3125.advbc-b046 QMRO: qmroHref Cuzick JM, Brentnall A, Segal C et al. (2014). Use of a SNP panel to refine risk estimates in women at high risk of breast cancer: Results from two randomized tamoxifen prevention trials.. nameOfConference DOI: 10.1200/jco.2014.32.15_suppl.1519 QMRO: qmroHref Evans G, Stavrinos P, Dawe S et al. (2014). 8LBA Assessing individual breast cancer risk within the UK National Health Service Breast Screening Programme: First prospective results from PROCAS. nameOfConference DOI: 10.1016/s0959-8049(14)70116-9 QMRO: qmroHref Vasiljević N, Scibior-Bentkowska D, Brentnall A et al. (2014). A comparison of methylation levels in HPV18, HPV31 and HPV33 genomes reveals similar associations with cervical precancers.. nameOfConference DOI: 10.1016/j.jcv.2013.12.014 QMRO: qmroHref Vasiljević N, Scibior-Bentkowska D, Brentnall AR et al. (2014). Credentialing of DNA methylation assays for human genes as diagnostic biomarkers of cervical intraepithelial neoplasia in high-risk HPV positive women.. nameOfConference DOI: 10.1016/j.ygyno.2014.02.001 QMRO: qmroHref Brentnall AR, Evans DG, Cuzick J (2014). Distribution of breast cancer risk from SNPs and classical risk factors in women of routine screening age in the UK.. nameOfConference DOI: 10.1038/bjc.2013.747 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/11420 Ho-Yen CM, Green AR, Rakha EA et al. (2014). C-Met in invasive breast cancer: is there a relationship with the basal-like subtype?. nameOfConference DOI: 10.1002/cncr.28386 QMRO: qmroHref Evans DGR, Ingham S, Dawe S et al. (2014). Breast cancer risk assessment in 8,824 women attending a family history evaluation and screening programme. nameOfConference DOI: 10.1007/s10689-013-9694-z QMRO: qmroHref Sasieni PD, Brentnall AR (2014). Survival Analysis. nameOfConference DOI: 10.1007/978-0-387-09834-0_18 QMRO: qmroHref Lorincz AT, Brentnall AR, Vasiljević N et al. (2013). HPV16 L1 and L2 DNA methylation predicts high-grade cervical intraepithelial neoplasia in women with mildly abnormal cervical cytology.. nameOfConference DOI: 10.1002/ijc.28050 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/11423 Adam RB, D GE, Jack C (2013). Value of Phenotypic and Single-Nucleotide Polymorphism Panel Markers in Predicting the Risk of Breast Cancer. nameOfConference DOI: 10.4172/2157-7412.1000202 QMRO: qmroHref Yang Z, Brentnall AR, Cuzick J et al. (publicationYear). Estimating the Complier Average Causal Effect for Exponential Survival in the Presence of Mid-Trial Switching. nameOfConference DOI: 10.6000/1929-6029.2012.01.02.01 QMRO: qmroHref Brentnall AR, Duffy SW, Baio G et al. (2012). Strategy for power calculation for interactions: application to a trial of interventions to improve uptake of bowel cancer screening.. nameOfConference DOI: 10.1016/j.cct.2011.09.021 QMRO: qmroHref Allen MD, Vaziri R, Green M et al. (2011). Clinical and functional significance of α9β1 integrin expression in breast cancer: a novel cell-surface marker of the basal phenotype that promotes tumour cell invasion.. nameOfConference DOI: 10.1002/path.2833 QMRO: qmroHref Brentnall AR, Crowder MJ, Hand DJ (2011). Approximate repeated-measures shrinkage. nameOfConference DOI: 10.1016/j.csda.2010.09.014 QMRO: qmroHref Brentnall AR, Duffy SW, Crowder MJ et al. (2011). A METHOD FOR EXPLORATORY REPEATED-MEASURES ANALYSIS APPLIED TO A BREAST-CANCER SCREENING STUDY. nameOfConference DOI: 10.1214/11-AOAS481 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/11421 Vasiljević N, Wu K, Brentnall AR et al. (2011). Absolute quantitation of DNA methylation of 28 candidate genes in prostate cancer using pyrosequencing.. nameOfConference DOI: 10.3233/DMA-2011-0790 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/10491 Duffy SW, Mackay J, Thomas S et al. (2010). Mammographic surveillance in women younger than 50 years who have a family history of breast cancer: tumour characteristics and projected effect on mortality in the prospective, single-arm, FH01 study. nameOfConference DOI: 10.1016/S1470.2045(10)70263.1 QMRO: qmroHref Brentnall AR, Crowder MJ, Hand DJ (2010). Predictive-sequential forecasting system development for cash machine stocking. nameOfConference DOI: 10.1016/j.ijforecast.2009.09.009 QMRO: qmroHref James JJ, Gilbert FJ, Wallis MG et al. (2010). Mammographic Features of Breast Cancers at Single Reading with Computer-aided Detection and at Double Reading in a Large Multicenter Prospective Trial of Computer-aided Detection: CADET II. nameOfConference DOI: 10.1148/radiol.10091899 QMRO: qmroHref Brentnall AR, Crowder MJ, Hand DJ (2010). Predicting the amount individuals withdraw at cash machines using a random effects multinomial model. nameOfConference DOI: 10.1177/1471082X0801000205 QMRO: qmroHref Brentnall AR, Crowder MJ, Hand DJ (2008). A Statistical Model for the Temporal Pattern of Individual Automated Teller Machine Withdrawals. nameOfConference DOI: 10.1111/j.1467-9876.2007.00599.x QMRO: qmroHref Brentnall AR, Cheng RC, Drew A (2004). Statistical analysis of an air traffic control problem. nameOfConference DOI: doi QMRO: qmroHref