Parmar, Mahesh KB
MRC Clinical Trials Unit at UCL · University College London
14 papers on CoChatORCID 0000-0003-0166-1700
Most cited papers
- Verified
Abiraterone for prostate cancer not previously treated with hormone therapy
James, N. D., de Bono, J. S., Spears, M. R., Clarke, N. W., Mason, M. D., Dearnaley, D. P., Ritchie, A. W. S., Amos, C. L., Gilson, C., Jones, R. J., et al. (2017) · New England Journal of Medicine
Prostate Cancer Treatment and ResearchProstate Cancer Diagnosis and Treatment
Cited by 1,801
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Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial
Jacobs, I. J., Menon, U., Ryan, A., Gentry-Maharaj, A., Burnell, M., Kalsi, J. K., Amso, N. N., Apostolidou, S., Benjamin, E., Cruickshank, D., et al. (2016) · The Lancet
Ovarian cancer diagnosis and treatmentGlobal Cancer Incidence and Screening
Cited by 1,048
- Verified
Ovarian cancer population screening and mortality after long-term follow-up in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial
Menon, U., Gentry-Maharaj, A., Burnell, M., Singh, N., Ryan, A., Karpinskyj, C., Carlino, G., Taylor, J., Massingham, S. K., Raikou, M., et al. (2021) · The Lancet
Ovarian cancer diagnosis and treatmentGlobal Cancer Incidence and Screening
Cited by 730
- Verified
Bayesian approaches to randomized trials
Spiegelhalter, D. J., Freedman, L. S., & Parmar, M. K. B. (1994) · Journal of the Royal Statistical Society. Series A (Statistics in Society)
Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference
Cited by 720
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The effects of induced hypogonadism on arterial stiffness, body composition, and metabolic parameters in males with prostate cancer
Smith, J. C., Bennett, S., Evans, L. M., Kynaston, H. G., Parmar, M., Mason, M. D., Cockcroft, J. R., Scanlon, M. F., & Davies, J. S. (2001) · The Journal of Clinical Endocrinology & Metabolism
Cardiovascular Health and Disease PreventionHormonal and reproductive studies
Cited by 458
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Lung cancer mortality reduction by LDCT screening: UKLS randomised trial results and international meta-analysis
Field, J. K., Vulkan, D., Davies, M. P. A., Baldwin, D. R., Brain, K. E., Devaraj, A., Eisen, T., Gosney, J., Green, B. A., Holemans, J. A., et al. (2021) · The Lancet Regional Health - Europe
Lung Cancer Diagnosis and TreatmentGlobal Cancer Incidence and Screening
Cited by 230
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Recruitment to multicentre trials—lessons from UKCTOCS: descriptive study
Menon, U., Gentry-Maharaj, A., Ryan, A., Sharma, A., Burnell, M., Hallett, R., Lewis, S., Lopez, A., Godfrey, K., Oram, D., et al. (2008) · BMJ
Ethics in Clinical ResearchHealth Policy Implementation Science
Cited by 151
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More multiarm randomised trials of superiority are needed
Parmar, M. K. B., Carpenter, J., & Sydes, M. R. (2014) · The Lancet
Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews
Cited by 127
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Celecoxib plus hormone therapy versus hormone therapy alone for hormone-sensitive prostate cancer: first results from the STAMPEDE multiarm, multistage, randomised controlled trial
James, N. D., Sydes, M. R., Mason, M. D., Clarke, N. W., Anderson, J., Dearnaley, D. P., Dwyer, J., Jovic, G., Ritchie, A. W., Russell, J. M., et al. (2012) · The Lancet Oncology
Prostate Cancer Treatment and ResearchProstate Cancer Diagnosis and Treatment
Cited by 123
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Systematic qualitative review of the literature on data monitoring committees for randomized controlled trials
Sydes, M. R., Spiegelhalter, D. J., Altman, D. G., Babiker, A. B., Parmar, M. K., & DAMOCLES Group (2004) · Clinical Trials
Statistical Methods in Clinical TrialsEthics in Clinical Research
Cited by 76
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Sharing data from clinical trials: The rationale for a controlled access approach
Sydes, M. R., Johnson, A. L., Meredith, S. K., Rauchenberger, M., South, A., & Parmar, M. K. (2015) · Trials
Research Data Management PracticesEthics in Clinical Research
Cited by 67
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Reported use of data monitoring committees in the main published reports of randomized controlled trials: a cross-sectional study
Sydes, M. R., Altman, D. G., Babikera, A. B., Parmar, M. K., Spiegelhalter, D. J., & DAMOCLES group (2004) · Clinical Trials
Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews
Cited by 49
- Verified
Discrimination-based sample size calculations for multivariable prognostic models for time-to-event data
Jinks, R. C., Royston, P., & Parmar, M. K. (2015) · BMC Medical Research Methodology
Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials
Cited by 32
- Verified
A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials.
Tierney, J. F., Fisher, D. J., Vale, C. L., Burdett, S., Rydzewska, L. H., Rogozińska, E., Godolphin, P. J., White, I. R., & Parmar, M. K. B. (2021) · PLOS Medicine
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 31
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