MSc, Social Research Methods and Statistics
The University of Manchester, Manchester, United Kingdom
BSc, Psychology: Physical and Mental Health
University of Reading, Berkshire, United Kingdom
Katherine Houghton has extensive experience in health outcomes research and data analytics, including experience in manipulating, cleaning, and conducting analyses of clinical trial and observational data using both Stata and Mplus. Ms. Houghton’s primary responsibilities are designing and implementing observational studies (such as medical record reviews and surveys) and retrospective data analysis. Specifically, Ms. Houghton has expertise in conducting advanced statistical analyses, including structural equation modelling and analysis of heterogeneity to identify empirically derived subgroups. Ms. Houghton’s key area of expertise is the explicit consideration of missing data (including analytic techniques for missing data mechanisms that are non-ignorable) and implications on results. She has experience in applying structural equation modelling techniques (including latent growth modelling and growth mixture modelling) under different assumptions around missing data, such as multiple imputation, full information maximum likelihood, and pattern-mixture modelling. She also uses latent growth modelling and growth mixture modelling to examine the heterogeneity of responses in clinical trials and observational studies. Ms. Houghton’s therapeutic areas of interest include invasive fungal infections, neurology, oncology, respiratory, dermatology, urology, pain/analgesia, women’s health, gastroenterology, musculoskeletal, and psychiatry.