The statistics division has research interests in 3 main areas: wildlife population assessment, ecological and environmental modelling, and statistical inference.
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Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data (2017-09-25) - Journal articleA variety of models have been proposed to explain regions of recurrent somatic copy number alteration (SCNA) in human cancer. Our study employs Whole Genome DNA Sequence (WGS) data from tumor samples (n = 103) to comprehensively ...
(University of St Andrews, 2017-12-07) - Thesis
Spatio-temporal variation in click production rates of beaked whales : implications for passive acoustic density estimation (2017-03) - Journal articlePassive acoustic monitoring has become an increasingly prevalent tool for estimating density of marine mammals, such as beaked whales, which vocalize often but are difficult to survey visually. Counts of acoustic cues ...
(2017-08-29) - Journal articleEmerging data demonstrate homologous recombination (HR) defects in castration-resistant prostate cancers, rendering these tumours sensitive to PARP inhibition. Here we demonstrate a direct requirement for the androgen ...
(2017) - Journal articleThis is a contribution to the discussion of the interesting paper by Ding [Statist. Sci. 32 (2017) 331–345], which contrasts approaches attributed to Neyman and Fisher. I believe that Fisher’s usual assumption was ...