Dr Steve Coad

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. 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

• Alam MI, Bogacka B, Coad DS (2017). Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials.

  10.1016/j.csda.2017.02.009

  http://qmro.qmul.ac.uk/xmlui/handle/123456789/22491
• Anisimov VV, Yeung WY, Coad DS (2016). Imbalance properties of centre-stratified permuted-block and complete randomisation for several treatments in a clinical trial..

  10.1002/sim.7206

  http://qmro.qmul.ac.uk/xmlui/handle/123456789/18474
• COAD DS, Weng RC (2016). Real-time Bayesian parameter estimation for item response models.

  10.1214/16-BA1043

  http://qmro.qmul.ac.uk/xmlui/handle/123456789/18489
• COAD DS (2015). Statistical inference following covariate-adaptive randomization: Recent advances.

  doi

  http://qmro.qmul.ac.uk/xmlui/handle/123456789/19019
• Coad DS (2014). Corrected confidence intervals based on the signed root transformation for multi-parameter sequentially designed experiments.

  10.1016/j.jspi.2013.10.002

  qmroHref
• Barbáchano Y, Coad DS (2013). Inference following designs which adjust for imbalances in prognostic factors..

  10.1177/1740774513493367

  qmroHref
• Julious SA, Dimairo M, Stallard N et al. (2013). Discussion on the paper by Hampson and Jennison.

  doi

  qmroHref
• Barbachano Y, Coad DS, Robinson DR (2008). Predictability of designs which adjust for imbalances in prognostic factors.

  10.1016/j.jspi.2007.02.001

  qmroHref
• Lyn JA, Ramsey MH, Coad DS et al. (2007). The duplicate method of uncertainty estimation: are eight targets enough?.

  10.1039/b702691a

  qmroHref
• Morgan CC, Coad DS (2007). A comparison of adaptive allocation rules for group-sequential binary response clinical trials.

  10.1002/sim.2693

  qmroHref
• Coad DS, Halimeh AA (2006). Sequential procedures for comparing several normal means.

  10.1080/10629360500107717

  qmroHref
• COAD D, Weng RC (2006). Corrected confidence intervals for secondary parameters following sequential tests.

  10.1214/074921706000000716

  qmroHref
• Coad DS, Ivanova A (2005). Sequential urn designs with elimination for comparing K >= 3 treatments.

  10.1002/sim.2091

  qmroHref
• Coad DS, Ivanova A (2005). The use of the triangular test with response-adaptive treatment allocation.

  10.1002/sim.2051

  qmroHref
• Coad DS, Woodroofe MB (2005). Corrected confidence intervals for adaptive nonlinear regression models.

  10.1016/j.jspi.2004.02.020

  qmroHref
• COAD D, Biswas A (2005). A general multi-treatment adaptive design for multivariate responses.

  doi

  qmroHref
• COAD D, Woodroofe MB (2002). Corrected confidence sets for sequentially designed experiments: examples.

  10.1081/SQA-120016300

  qmroHref
• COAD D, Ivanova A (2001). Bias calculations for adaptive urn designs.

  10.1081/SQA-100106051

  qmroHref
• Woodroofe M, Goad DS (1997). Corrected confidence sets for sequentially designed experiments.

  doi

  qmroHref