Trishna Rathod Mistry
Senior Medical Statistician/Senior Data Scientist
I joined the Pharmaco and Device Epidemiology research group within the NDORMS department in January 2022 as a senior statistician. I have an interest in applying complex longitudinal models to routinely collected medical record data, particularly in the estimation of time-varying treatment in the presence of time-varying confounding.
Previously, I was employed by Keele University, School of Medicine (2010-2022) as a statistician. I completed my PhD in 2021 which aimed to estimate the time-varying effect of allopurinol in gout using marginal structural models and propensity score stratification. I have worked on a wide variety of primary care research projects across different study populations (musculoskeletal conditions, dementia, and chest pain) and study designs (randomised controlled trials, prognosis, case-crossover, and longitudinal cohorts).
My interest in medical statistics started when I studied Mathematical Sciences BSc at the University of Birmingham. After which, I studied Medical Statistics MSc at the University of Leicester.
Radiographic validation of a self‐report instrument for hallux valgus
Gupta V. et al, (2021), Musculoskeletal care
Identifying long‐term trajectories of foot pain severity and potential prognostic factors: a population‐based cohort study
Marshall M. et al, (2021), Arthritis care & research
Comparison of risk factors for coronary event in people with unattributed and non-coronary chest pain: an electronic health record cohort study
Rathod-Mistry T. et al, (2021), European heart journal, 42
Diabetes as a Prognostic Factor in Frozen Shoulder: A Systematic Review
Dyer BP. et al, (2021), Archives of rehabilitation research and clinical translation, 3, 100141 - 100141
Markers of dementia-related health in primary care electronic health records
Campbell P. et al, (2021), Aging & mental health, 25, 1452 - 1462