Sc.D., epidemiology, Harvard School of Public Health; M.S., biostatistics, University of Toronto; B.S., mathematics and statistical science, University College London
Summary of Experience
Dr. Sajeev specializes in applying statistical and epidemiologic methods to address research questions in a range of areas, including rare genetic diseases, infectious disease, oncology, cardiovascular disease, and neurology. His research has covered different study types, such as natural history studies, cohort studies and clinical trials, discrete choice experiments, systematic reviews and meta-analyses. Recently, Dr. Sajeev has developed prognostic models and analyzed natural history data to inform clinical practice and trial design, designed discrete choice experiments to understand patient preferences for new treatments, assessed comparative effectiveness of interventions in real-world settings, and conducted post-hoc analyses of clinical trials to inform submissions to payers and regulators. His work has been published in peer-reviewed journals and presented at clinical and economic research conferences.
Genotype and Lifetime Burden of Disease in Hypertrophic Cardiomyopathy: Insights from the Sarcomeric Human Cardiomyopathy Registry (SHaRe)
Circulation. 2018 Oct 2;138(14):1387-1398
Ho CY, Day SM, Ashley EA, Michels M, Pereira AC, Jacoby D, Cirino AL, Fox JC, Lakdawala NK, Ware JS, Caleshu CA, Helms AS, Colan SD, Girolami F1, Cecchi F, Seidman CE, Sajeev G, Signorovitch J, Green EM, Olivotto I