David Hill is a Medical Statistician in the Biostatistics, Evidence Synthesis and Test Evaluation Group in the Institute of Applied Health Research, working with Professor Sue Mallett.
Trained originally as a mathematician, with a 1st Class Hons degree, David has around 28 years’ experience in maths and stats modelling in a variety of fields, such as energy and the environment, but which also includes 9 years’ experience in clinical applications.
Currently operating in the field of medical statistics initially on the PROSPeCT study, which is concerned with the prediction of metastatic disease in primary colorectal cancer. This is intended to be achieved by utilising model variables from novel perfusion computed tomography (PCT), and the primary objective is to see whether a prognostic model based on PCT information is better than current practice. He has previous experience in applications such as health risks from naturally occurring radioactive radon gas, assessment of maternity care, and was involved with a Cochrane review of female urinary incontinence.
David has much experience with statistical analysis – logistic regression in mixed effect models, network maps and forest plots in meta-analyses of trials. He has much experience handling large datasets including the 7,148 cases and 14,208 controls in the radon work, a pan-European project involving data and collaborators from 9 countries.
David has a diverse background, not only in medical statistics but in environmental science including climate change with a PhD in ocean science and also experience in wind energy applications. He hopes to draw from this experience to creatively apply his skills in new fields of research.
David is a skilled programmer, with expertise in the statistical package Stata and is proficient in MatLab. He enjoys working in a team or independently developing applied software.