John Tazare

John Tazare is an Assistant Professor in the Department of Medical Statistics within the Faculty of Epidemiology and Population Health at the London School of Hygiene & Tropical Medicine (LSHTM). He also holds an Honorary Senior Research Associate position at the University of Bristol. As a statistical pharmacoepidemiologist, his work focuses on developing and applying causal inference methods to investigate medication effectiveness and safety using routinely collected electronic health record data.

Education:

• BSc Mathematics from University of Birmingham
• MSc Medical Statistics from London School of Hygiene & Tropical Medicine
• PhD Medical Statistics from London School of Hygiene & Tropical Medicine

Dr. Tazare's primary research interests center on statistical methods for pharmacoepidemiology, particularly causal inference techniques applied to electronic health record data. His work addresses critical questions regarding medication safety and effectiveness in real-world settings. He has made significant contributions to methodological development in high-dimensional propensity score approaches and has been actively involved in numerous OpenSAFELY platform projects analyzing the impact of medications and health interventions during the COVID-19 pandemic.

His recent publications demonstrate a strong focus on comparative effectiveness research, particularly examining anticoagulants, medication safety during the pandemic, and methodological improvements in observational research. His work spans multiple therapeutic areas including cardiovascular medicine, hepatology, and long-term effects of infectious diseases, with consistent application of advanced statistical techniques to large-scale health data.

Dr. Tazare is actively involved in teaching, co-organizing the module 'Analysis of Electronic Health Record Data' and the 'Real World Evidence for Pharmacoepidemiology' short course. He also contributes to other courses including 'Concepts and Methods in Epidemiology' and the 'Professional Certificate in Pharmacoepidemiology & Pharmacovigilance.'

As a member of the Electronic Health Records (EHR) Research Group at LSHTM, he collaborates extensively on projects utilizing large-scale health data systems. His work on code sharing and transparent research practices has contributed to improving standards in medical research methodology.