Email Address: martin.law [at] mrc-bsu.cam.ac.uk
Other Research Theme Collaborations: DART ESH COLD
My work involves a mixture of application and methodology that typifies the work of the Biostatistics Unit: I monitor and analyse data from clinical trials, and the aim of these trials is to evaluate the efficacy of antibiotics in treating chronic obstructive pulmonary disease. From these trials, opportunities arise to improve the analysis of the data through novel methodology, or through novel application of existing methodology. Examples include improving treatment effect estimates when data are episodic by taking into account periods when an episode is in progress; analysing drug resistance in bacteria as a continuous, rather than dichotomous, variable, and applying informative censoring methodology to time to event data.I recently published some work on methodology and associated software to create residual plots for censored data.In 2015, I have been using simulation studies to compare different approaches to meta-analysis with dichotomous event outcomes. I am also examining other aspects of meta-analysis -- for example, Hartung-Knapp modification.
Selected PapersMartin Law, Dan Jackson (2015)Residual plots for linear regression models with censored outcome data: A refined method for visualising residual uncertainty.
Communications in Statistics - Simulation and Computation : To appear
Simon E. Brill, Martin Law, Ethaar El-Emir, James P Allinson, Victoria Maddox, Irwin Nazareth, John R Hurst, Gavin C Donaldson, Timothy D Mchugh, Peter M A Calverley. Michael J Sweeting, Jadwiga A Wedzicha (2015)Effects of different antibiotic classes on airway bacteria in stable COPD: a randomised controlled trial.
Donaldson GC, Law M, Kowlessar B, Singh R, Brill SE, Allinson JP, Wedzicha JA. (2015)Impact of Prolonged Exacerbation Recovery in Chronic Obstructive Pulmonary Disease.
American Journal of Respiratory and Critical Care Medicine :