Methodology and design for biostatistics

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My research agenda concerns the areas of optimal and experimental design and survival analysis. In optimal design one determines where or when measurements should be taken in order to make the "best" inference possible from the data that will be collected. For the purpose of illustration, consider a clinical trial where 50 people are administered a blood pressure lowering treatment. Can we develop designs that will allow us to "best" estimate: (i) the proportion of people affected by the treatment, (ii) the timing of the treatment effect and/or, (iii) the before- and after-change average blood pressures. An interesting application of experimental design is in genomics. In the last 20 years many new technologies have been developed for studying our DNA and variations in our DNA that might suggest predisposition to diseases such as cancer. These experiments are often very costly hence their design is a key issue in ensuring that the best quality data possible can be collected.