Dr Steve Coad
Reader in Statistics, Senior Tutor
Email: d.s.coad@qmul.ac.ukTelephone: +44 (0)20 7882 5484Room Number: Mathematical Sciences Building, Room: MB-125Website: http://www.maths.qmul.ac.uk/~coad/Office Hours: Tuesday: 3.30 - 4.30pm
Profile
Steve Coad is a Reader in Statistics in the School of Mathematical Sciences. Prior to joining Queen Mary, he was a Senior Lecturer at the University of Sussex. He holds a DPhil in Statistics from the University of Oxford.
His research interests are mainly in the area of sequential design and analysis, with particular emphasis on estimation problems, asymptotic approximations and adaptive treatment allocation.
Steve is currently an Associate Editor for Sequential Analysis, BMC Medical Research Methodology, Contemporary Clinical Trials and Biometrics. He is a Fellow of the Institute of Mathematics and its Applications and of the Royal Statistical Society, and a Member of the Biometric Society, the International Society for Clinical Biostatistics and the Bernoulli Society.
In the past, his research has received funding from the Engineering and Physical Sciences Research Council, the Medical Research Council, the Royal Society, the Fulbright Commission and the American Statistical Association.
Research
Publications
-
(2020). Bias approximations for likelihood-based estimators Scandinavian Journal of Statistics: theory and applications.
-
(2019). Group-sequential response-adaptive designs for censored survival outcomes Journal of Statistical Planning and Inference.
-
(2019). Combined criteria for dose optimisation in early phase clinical trials. Statistics in Medicine.
-
(2017). Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials Computational Statistics & Data Analysis.
-
(2016). Imbalance properties of centre-stratified permuted-block and complete randomisation for several treatments in a clinical trial. Stat Med.
-
(2016). Real-time Bayesian parameter estimation for item response models Bayesian Analysis.
-
(2015). Statistical inference following covariate-adaptive randomization: Recent advances journal.
-
(2014). Corrected confidence intervals based on the signed root transformation for multi-parameter sequentially designed experiments JOURNAL OF STATISTICAL PLANNING AND INFERENCE.
-
(2013). Inference following designs which adjust for imbalances in prognostic factors. Clin Trials.
-
(2009). Discussion on “A Hybrid Selection and Testing Procedure with Curtailment for Comparative Clinical Trials” by Elena M. Buzaianu and Pinyuen Chen Sequential Analysis.
-
(2008). Predictability of designs which adjust for imbalances in prognostic factors J STAT PLAN INFER.
-
(2008). Discussion on “Second-Guessing Clinical Trial Designs” by Jonathan J. Shuster and Myron N. Chang Sequential Analysis.
-
(2007). The duplicate method of uncertainty estimation: are eight targets enough? Analyst.
-
(2007). A comparison of adaptive allocation rules for group-sequential binary response clinical trials STAT MED.
-
(2006). Sequential procedures for comparing several normal means J STAT COMPUT SIM.
-
(2006). Corrected confidence intervals for secondary parameters following sequential tests journal.
-
(2005). Sequential urn designs with elimination for comparing K >= 3 treatments STAT MED.
-
(2005). The use of the triangular test with response-adaptive treatment allocation STAT MED.
-
(2005). Corrected confidence intervals for adaptive nonlinear regression models J STAT PLAN INFER.
-
(2005). A general multi-treatment adaptive design for multivariate responses Sequential Analysis.
-
(2002). COMMENT ON “RANDOMIZED URN MODELS AND SEQUENTIAL DESIGN” BY W. F. ROSENBERGER Sequential Analysis.
-
(2002). Corrected confidence sets for sequentially designed experiments: examples Sequential Analysis.
-
(2001). Bias calculations for adaptive urn designs Sequential Analysis.