Research Interests: Spatial epidemiology; Ecological inference; Genetic epidemiology; Genome-wide association studies; Gene expression in the cell cycle; Motif finding; The links between Bayes and frequentist procedures.

Publications: Published and accepted refereed articles are here. Book chapters are here.

Papers, Software and Data for Spatial Epidemiology: here.

Professional Background: For details of my academic past, click here.

PhD students: Details of my PhD students, past and present, can be found here.

Teaching: To see courses I have taught in Seattle click here.

Software:

1. Bayesian population PK/PD modeling developed for BUGS by me, Dave Lunn, Nicky Best and Dave Spiegelhalter: PKBUGS
2. Bugs code for Zhou and Wakefield (2006, Biometrics) paper on curve clustering here
   
3. Excel spreadsheet for calculating approximate Bayes factors for genetic epidemiology studies here; R code is here.
   The paper "A Bayesian Measure of the Probability of False Discovery in Genetic Epidemiology Studies" is on the publications page.
4. The R Code to carry out two-phase sampling in an ecological setting as descibed in "Overcoming ecological bias using the two-phase study design" by Wakefield and Haneuse, American Journal of Epidemiology (see publications page for more details) is here, and requires the R functions tps.q - the latter is an R version of the Splus code written by Norm Breslow and Nilanjan Chatterjee, details of which can be found at Norm Breslow's website The code works with the North Carolina data infantsAgg.dat.

Last updated: May 11th, 2008