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Ms Amy Mulick

BSc MA MSc

Research Fellow
in Statistical Epidemiology

Room
249

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

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. 

Affiliations

Department of Non-communicable Disease Epidemiology
Faculty of Epidemiology and Population Health
Department of Medical Statistics

Centres

Centre for Global Chronic Conditions
Statistical Methodology

Teaching

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!).

Research

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.

Research Area
Clinical trials
Statistical methods
Bayesian Analysis
Discipline
Epidemiology
Statistics

Selected Publications

Does depression treatment improve the survival of depressed patients with cancer? A long-term follow-up of participants in the SMaRT Oncology-2 and 3 trials.
Mulick A; Walker J; Puntis S; Burke K; Symeonides S; Gourley C; Wanat M; Frost C; Sharpe M
2018
The lancet Psychiatry
The prevalence of depression in general hospital inpatients: a systematic review and meta-analysis of interview-based studies.
Walker J; Burke K; Wanat M; Fisher R; Fielding J; Mulick A; Puntis S; Sharpe J; Esposti MD; Harriss E
2018
Psychological medicine
Classifying atopic dermatitis: protocol for a systematic review of subtypes (phenotypes) and associated characteristics.
Mulick AR; Allen V; Williams HC; Grindlay DJC; Pearce N; Abuabara K; Langan SM
2018
BMJ open
Is improvement in comorbid major depression associated with longer survival in people with cancer? A long-term follow-up of participants in the SMaRT Oncology-2 and 3 trials
Mulick A; Walker J; Puntis S; Symeonides S; Gourley C; Burke K; Wanat M; Frost C; Sharpe M
2018
Journal of Psychosomatic Research
Atopic eczema and major cardiovascular outcomes: a systematic review and meta-analysis of population-based studies.
Ascott A; Mulick A; Yu A; Prieto-Merino D; Schmidt M; Abuabara K; Smeeth L; Roberts A; Langan SM
2018
The Journal of allergy and clinical immunology
Design optimization for clinical trials in early-stage manifest Huntington's disease.
Frost C; Mulick A; Scahill RI; Owen G; Aylward E; Leavitt BR; Durr A; Roos RAC; Borowsky B; Stout JC
2017
Movement disorders
Visuospatial Processing Deficits Linked to Posterior Brain Regions in Premanifest and Early Stage Huntington's Disease.
Labuschagne I; Cassidy AM; Scahill RI; Johnson EB; Rees E; O'Regan A; Queller S; Frost C; Leavitt BR; Dürr A
2016
Journal of the International Neuropsychological Society
Improved survival in a cohort of trial participants with metastatic castration-resistant prostate cancer demonstrates the need for updated prognostic nomograms.
Omlin A; Pezaro C; Mukherji D; Mulick Cassidy A; Sandhu S; Bianchini D; Olmos D; Ferraldeschi R; Maier G; Thompson E
2013
European urology
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