Ms Amy Mulick
BSc MA MSc
in Statistical Epidemiology
I am an applied biostatistician, addressing clinical and epidemiological questions in diverse medical specialties. Special interests are metabolomics, biomarker discovery, linear mixed modelling, statistical programming and complex modelling.
Currently (March 2020) I work with Professor Sinéad Langan on the problem of phenotyping eczema.
Currently I teach on the 'Further Statistical Methods for Clinical Trials' module for the MSc in Clinical Trials. In previous years I taught on modules covering statistical methods, statistical computing and statistics for epidemiology for MSc students, students taking short courses and public health professionals externally contracted by the School.
With Professor Sinéad Langan I am identifying phenotypes of disease using data from traditional cohorts and from routinely collected data available in electronic health records (EHRs), with application to eczema (atopic dermatitis). I continue to work with Professor JP Casas (Harvard University) using metabolomic profiles to quantify heterogeneity in serum high-density lipoprotein (HDL) metabolism and to identify biomarkers that can discriminate between different (medical) causes of mortality; with Professor Simon Cousens to estimate the distribution of neonatal causes of death in the presence of outcome misclassification; and with Professor Chris Frost on development of the Stata package 'slopepower', which estimates sample sizes for trials with rate-of-change outcomes.
Statistical methods: Linear mixed models, meta-analysis, survival analysis, multivariate methods, Bayesian methods.