Dr Adam Brentnall

Profile

I 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.

Research

Research 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.

Publications

Please 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: qmroHref
• 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: qmroHref
• 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: qmroHref
• 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: qmroHref
• 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://uat2-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 p16^INK4A mRNA assay and digital reading of p16^INK4A 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