Amarjot Kaur is an Indian statistician who in 2016 became the president of the International Indian Statistical Association. She works for Merck Research Laboratories,[1]
as Executive Director of Clinical Biostatistics and Research Decision Sciences.[2] She is also the 2017 treasurer of the American Statistical Association,[3] and in 2013 she chaired the American Statistical Association Community of Applied Statisticians.[4]
Before joining Merck, Kaur earned her Ph.D. at Panjab University in Chandigarh, India,[5] where she also worked as a lecturer.[2] At Panjab, in the 1990s, Kaur published research in mathematical statistics on tests for stochastic dominance.[T2O]
She joined Merck after postdoctoral research at Pennsylvania State University.[2] At Merck, she became the chief statistician on the Multinational Etoricoxib and Diclofenac Arthritis Long-term (MEDAL) programme, a large international study of treatments for arthritis.[CVO]
Kaur, Amarjot; Rao, B. L. S. Prakasa; Singh, Harshinder (December 1994), "Testing for second-order stochastic dominance of two distributions", Econometric Theory, 10 (5): 849–866, doi:10.1017/S0266466600008884, JSTOR3532856, S2CID120516536
CVO.
Cannon, Christopher P; Curtis, Sean P; FitzGerald, Garret A; Krum, Henry; Kaur, Amarjot; Bolognese, James A; Reicin, Alise S; Bombardier, Claire; Weinblatt, Michael E; Van Der Heijde, Désirée; et al. (MEDAL programme steering committee) (2006), "Cardiovascular outcomes with etoricoxib and diclofenac in patients with osteoarthritis and rheumatoid arthritis in the Multinational Etoricoxib and Diclofenac Arthritis Long-term (MEDAL) programme: a randomised comparison", The Lancet, 368 (9549): 1771–1781, doi:10.1016/S0140-6736(06)69666-9, PMID17113426, S2CID18464206