Dr. Karabi Nandy
Associate Professor, Biostatistics and Epidemiology
Education & Experience:
I have received my masters and doctoral degrees in Statistics from the Department of Statistics at the University of Florida and my bachelor’s degree from the University of Calcutta, India. Prior to joining the UNTHSC School of Public Health in 2016, I held previous faculty positions at University of Illinois at Chicago (School of Public Health) and University of California Los Angeles (Schools of Public Health and Nursing).
Teaching Areas & Public Health Interests:
I have 10+ years of experience in teaching Biostatistics at the graduate levels on topics such as Introductory Biostatistics, Regression methods, Research designs, Survey Sampling, Biostatistics consulting; giving numerous workshops in applied statistics geared towards helping researchers in public health and nursing tackle various statistical issues involved in grant-writing such as innovative designs and effective power analyses. I have also guest-lectured in many doctoral level methods classes in Nursing and Public Health over the years on topics that range from design and sampling and sample size determination to validity and reliability, mediation and moderation, inference and other various kinds of statistical modeling and analysis methods.
I have had the opportunity to supervise and mentor graduate students who have taken various positions with health care organizations and academic institutions.
Professional Activities & Awards:
I am a member of the American Statistical Association (ASA) since 2002 and life member of the International Indian Statistical Association (IISA) since 2014. I served as the vice president for membership and a board member in the Southern California Chapter of the American Statistical Association during 2012-2016.
My solid training in theoretical statistics coupled with years of collaborations in the areas of public health, medicine, nursing and psychiatry puts me at an extremely advantageous position as a researcher at the interface of interdisciplinary and translational research. I have a tremendous interdisciplinary program of research, facilitated by intense cross-discipline collaborations with projects in areas as diverse as community-based participatory research involving underserved populations such as the homeless and marginalized ethnic communities, women’s health, HIV/AIDS as well as intervention studies in public health.
Most of my collaborations revolve around vulnerable populations with chronic and multiple health disparities. All these works have significant public health implications, impacting how vulnerable populations are viewed and treated. My research has involved homeless adults and youth, prison parolees and ex-convicts, clients in methadone maintenance, Native Americans, certain at-risk Hispanic and Asian communities. As a biostatistician, my role in these collaborations range from comprehensive (inception of study design and sampling to data analysis and dissemination) to methodologically focused. I have been a co-investigator and PI statistician on innumerable federal, state and foundation funded grants since 2004.
In the area of statistical methods, my research interests are as follow. 1. Survey Sampling (focus: small area estimation). Small area estimation is a technique used when subpopulation sample sizes are too small to provide adequate precision for direct estimators. 2. Survey Sampling (focus: randomized response rate). The idea is to be able to elicit a ‘truthful’ response on sensitive feature(s) from the sampled respondents (of a ﬁnite labeled population of respondents), so that eventually the population mean of the sensitive feature can be unbiasedly estimated. 3. Experimental Design (focus: Optimal Design). Optimal designs are a class of experimental designs that are optimal with respect to some statistical criterion and given a statistical model. My works in all these areas are on-going and varied.
This page was last modified on March 5, 2018