Nadine Marlin, MSc
NIHR Doctoral Fellow, Statistician
I completed a MSc degree in Medical Statistics at the London School of Hygiene and Tropical Medicine in 2008/09 and joined PCTU as a statistician in 2010. Currently I am working in the Centre for Evaluation and Methods (CEM). Over the years I have supported clinical trials, studies and meta-analyses in a wide range of clinical fields, study designs and analysis methodologies. During this time, I have also been a statistical adviser on the Bowel & Cancer Research Grants committee.
In 2018 I embarked on a National Institute for Health Research (NIHR) Doctoral Fellowship focussing on developing statistical methodology of complex relationships in individual participant data (IPD) meta-analysis.
I have a special interest in analysis methodology for prediction modelling and individual participant data (IPD) meta-analysis.
Please click through to see a complete list of Nadies's publications
Marlin N, Allotey J. The difference between effect modification and covariate confounding. BJOG 17 Mar 2021
Richard D. Riley, Thomas P.A. Debray, David Fisher, Miriam Hattle, Nadine Marlin, Jeroen Hoogland, Francois Gueyffier, Jan A. Staessen, Jiguang Wang, Karel G.M. Moons, Johannes B. Reitsma, and Joie Ensor. Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning. Stat Med. 2020 Jul 10; 39(15): 2115–2137.
Ewelina Rogozińska, Javier Zamora, Nadine Marlin, et al for the International Weight Management in Pregnancy (i-WIP) Collaborative Group. Gestational weight gain outside the Institute of Medicine recommendations and adverse pregnancy outcomes: analysis using Individual Participant Data from randomised trials. BMC Pregnancy and Childbirth volume 19, Article number: 322 (2019)