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The following 4 experts are listed against your chosen search criteria of:
Expertise: Statistics

Dr Lawrence Pettit
I am a Bayesian statistician. My main work has been on outliers and model choice in a variety of situations including linear models, finite populations, time series and circular data. I have also worked on degradation models, models with autocorrelated errors, inference for Lanchester models of combat and applications in medicine and astronomy.

Prof Peter Congdon
Quantitative geography with particular interests in spatial epidemiology, health services research and Bayesian statistical modelling; small area health indicators and health performance indicators; epidemiology of psychiatric illness and chronic diseases; demographic models. Spatial statistical models in health and demographic applications, epidemiology, health inequalities, health prevalence estimation, health need indicators, Bayesian methods, suicidology

Prof Sandra Eldridge
Medical statistics particularly statistics in primary health care, cluster randomised trial design and complex interventions.

Prof Nicholas Wald
My research interests include epidemiology, public health, and screening (ante-natal, cancer, cardio-vascular). I am the innovator of the "Polypill", a new approach to the primary prevention of cardiovascular disease, and with my son David have conducted a trial demonstrating the expected effect of a polypill. I have also worked on primary prevention of serious disorders such as neural tube defects and lung cancer. I have pioneered research on the benefits of Folic Acid during pregnancy, as well as the Barts Triple Test for early detection of Down's syndrome.

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