
Research theme(s): Efficient Study Design
Role: Senior Research Associate
Telephone number:
Email Address: david.robertson@mrc-bsu.cam.ac.uk
Role: Senior Research Associate
Telephone number:
Email Address: david.robertson@mrc-bsu.cam.ac.uk
I am a Senior Research Associate at the MRC Biostatistics Unit, University of Cambridge, where I have been based since 2013. My research focuses on the development of novel methodology for the design and analysis of adaptive clinical trials. From 2018 - 2021, I held a Biometrika Trust Research Fellowship, which explored questions around error rate control for clinical trial designs that test multiple hypotheses simultaneously.
My main areas of research focus include:
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- Estimation after adaptive designs
- Response-adaptive randomisation in clinical trials
- Multiple hypothesis testing
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Selected Papers
Robertson DS, Lee KM, Lopez-Kolkovska BC and Villar SS (2022)Response-adaptive randomization in clinical trials: from myths to practical considerationsAccepted in Statistical Science : To appear
Chen X, Lee KM, Villar SS, Robertson DS (2022)Some performance considerations when using multi-armed bandit algorithms in the presence of missing data.
PLOS ONE 17(9): e0274272
Villar SS, Robertson DS and Rosenberger WF (2021)The temptation of overgeneralizing response-adaptive randomization.
Clinical Infectious Diseases 73(3): e842
Robertson DS, Wason JMS and Bretz F (2020)Graphical approaches for the control of generalised error rates
Statistics in Medicine 39 (23): 3135-3155
Wason JMS and Robertson DS (2020)Controlling type I error rates in multi‐arm clinical trials: A case for the false discovery rate
Pharmaceutical Statistics 75 (3): 885-894
Robertson DS and Wason JMS (2019)Familywise error control in multi-armed response-adaptive trials
Biometrics 75 (3): 885-894
Robertson DS, Wildenhain J, Javanmard A and Karp NA (2019)onlineFDR: an R package to control the false discovery rate for growing data repositories
Bioinformatics 35 (20): 4196-4199
Robertson DS, and Glimm E (2019)Conditionally unbiased estimation in the normal setting with unknown variances
Communications in Statistics - Theory and Methods 48 (3): 616-627
Robertson DS, Prevost AT, and Bowden J (2016)Unbiased estimation in seamless phase II/III trials with unequal treatment effect variances and hypothesis-driven selection rules
Statistics in Medicine 35 (22): 3907-3922
Robertson DS, Prevost, AT and Bowden J (2016)Accounting for selection and correlation in the analysis of two-stage genome-wide association studies
Biostatistics 17 (4): 634-649
Robertson DS, Prevost AT and Bowden J (2015)Correcting for bias in the selection and validation of informative diagnostic tests
Statistics in Medicine 34 (8): 1417–1437