Jeremy Brown
Jeremy Brown

Postdoctoral Research Fellow

About

I am a postdoctoral research fellow within the CAUSALab within the Department of Epidemiology at Harvard T.H. Chan School of Public Health. My research examines the safety and effectiveness of medications through observational studies using routinely collected data (electronic health records and insurance claims). A particular focus of my research is the use of statistical and causal inference methods, such as quantitative bias analysis and self-controlled study designs, to provide robust evidence.

I completed a PhD in pharmacoepidemiology at the London School of Hygiene and Tropical Medicine. I have an MSc in the Control of Infectious Diseases from the London School of Hygiene and Tropical Medicine and a BA in Biological Sciences from the University of Oxford.

Featured Publications
Recent Publications
(2024). Accounting for Twins and Other Multiple Births in Perinatal Studies Conducted Using Healthcare Administration Data. medRxiv.
(2024). Estimated number of lives directly saved by COVID-19 vaccination programs in the WHO European Region, December 2020 to March 2023. medRxiv.
(2024). Quantifying possible bias in clinical and epidemiological studies with quantitative bias analysis: common approaches and limitations. bmj.
(2024). Systemic Fluoroquinolone Use and Risk of Uveitis or Retinal Detachment. JAMA ophthalmology.
(2024). Use of Real-World Data and Machine Learning to Screen for Maternal and Paternal Characteristics Associated with Cardiac Malformations.
Recent & Upcoming Talks