Dr. Nand Kishore Rawat

is a lead biostatistician at Cytel Statistical Software & Services. With his expertise in planning, designing and analysing clinical trial projects, and his experience in clinical trial development at Bristol-Myers Squibb, Novartis, and also noted contract research organizations (CRO's), he brings a valuable practical perspective to the classroom and gives his students an insightful window into the pharmaceutical clinical trial world.

Education:

B.Sc., Statistics, Mathematics, Physics, University of Rajasthan

M.Sc., Statistics, University of Rajasthan, Gold Medalist

Ph.D., Statistics, University of Rajasthan

Areas of Expertise:

SAS programming

Clinical trial design and analysis

Publications:

Statistical Techniques for Family Planning Measures: Socio- Economic and Cultural Factors affecting Family Planning Performances, Lambert Academic Publishing House, Germany. ISBN - 10: 3844329838; ISBN-13: 978-3844329834, April 2011

Awards:

Editorial Board Member and reviewer of “ International Journal of Agricultural and Statistical Sciences “ Muzaffarnagar, India

Courses:
Clinical Trials - Phamacokinetics and Bioequivalence
Introduction to Statistical Issues in Clinical Trials

Instructor at Statistics.com since June 2014

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Melissa Brewer
Sage Products
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Juniper Networks
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Amazon
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International Banking at Scotiabank
I am working for Scotiabank/International Banking-Marketing (Toronto-Canada). Since we are manipulating tons of data at the customer level for more than 27 countries, R would be the perfect complement tool (we have been using SAS) for customer analytics. I am new on this R world but I would like to apply it on a daily basis soon.
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Sound Healthcare Solutions LLC
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Analytica, Inc.
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Analytica, Inc.
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Stanford University
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Kinetic Concepts Inc.
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ArcelorMittal USA
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Hartford Hospital
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AMPS Project International
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David Plumstead
My statistical knowledge and base continues to increase significantlynow with each additional Statistics.com course taken. While I may not be usingall the learnings directly in my day-to-day work (for example, regressionmodeling or calculating sample sizes), they are all influencing how I thinkabout, approach, and work with data every day; the way in which I describe andpresent data and findings to others; and the way in which I interpret otherstudies and reports from other researchers, analysts, and statisticians, etc
Benjamin Esterni
Cytel
All was perfect Thanks!
Paula Pelletier-Butler
Excellent team. Once again, I'm impressed with the level of interaction that is made almost daily from the instructors and support team. Thank you for all your help.

Dr. Nand Kishore Rawat

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