Ms Amy Mulick
BSc MA MSc
in Statistical Epidemiology
I work as an applied statistician, addressing statistical and epidemiological questions in diverse medical specialties. Special interests are metabolomics, biomarker discovery, linear mixed modelling, statistical programming and complex modelling.
Currently (March 2019) I work with Professor Sinéad Langan on the problem of phenotyping eczema.
I have taught on several modules for students on the MSc Medical Statistics and/or MSc Epidemiology, and for similar short courses offered by the School. I currently organise the Term 3 module 'Advanced Research Methods' and teach on the Pharmacoepidemiology short course, and run a weekly yoga class for LSHTM staff and research degree students (contact me for details!).
With Professor Sinéad Langan I am researching and developing optimal statistical methods for 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.