Amarjot Kaur
Indian statistician
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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]
Amarjot Kaur | |
|---|---|
| Education | Panjab University |
| Occupation | Statistician |
| Employer | Merck Research Laboratories |
| Title | Executive Director of Clinical Biostatistics and Research Decision Sciences at Merck Research Laboratories |
| Awards | Fellow of the American Statistical Association (2014) and recipient of the American Statistical Association's Founders Award (2023) |
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]
In 2014, she was elected to be a Fellow of the American Statistical Association.[6] In 2023 Kaur was the recipient of the American Statistical Association's Founders Award.[7]
Selected publications
| T2O. |
| 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, PMID 17113426, S2CID 18464206
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