BIOSTATISTICS including STATISTICAL GENETICS
The Department of Epidemiology and Biostatistics have established one of the UK’s leading Biostatistics groups focusing on the analysis of large and complex hierarchical datasets, especially from a Bayesian perspective. As well as spatially-structured epidemiological datasets, the group studies large datasets arising in genetics and genomics, including those fromgenetic association and from microarray gene-expression studies.
Given below are generic titles describing potential areas of research within the Department of Epidemiology and Biostatistics. These opportunities are currently unfunded.
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Geographical case-control designs for investigating environmental risk factors for disease, using Bayesian hierarchical models.
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Bayesian differential equation models for infectious diseases.
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Bayesian nonparametric methods.
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Classification and clustering methods for haplotype/genotype data.
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Novel methodology to analyse genotype-phenotypic data with repeated measure.
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Radiation exposures at an early age: impact of genotype on breast cancer risk.
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Data fusion in genomics.
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Space-time modelling of infectious disease surveillance data.
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Point process modelling in spatial epidemiology.
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