Manisha Desai, Ph.D.
Dr. Desai is Associate Professor of Medicine and by courtesy of Health Research & Policy. She joined Stanford in 2009 after spending 9 years on the faculty of the Department of Biostatistics at Columbia University. While there, she contributed to many areas of medical research including cancer, genomics, oral health, and psychiatric epidemiology. She has extensive experience in the design and analysis of clinical trials as well as epidemiologic studies. Her areas of methodological interest include the analysis of correlated and clustered data, methods for analyzing epidemiologic studies, the design of clinical trials, and the handling of missing data. Dr. Desai is a recent recipient of a PCORI award to study multiple imputation methods for handling missing data induced by time-varying covariates in comparative effectivenes studies of HIV patients.
Methodology Area of Interest: missing data, correlated data, longitudinal data analysis, design of clinical trials, and the processing and analysis of accelerometry studies.
Clinical Area of Interest: oncology, physical activity, immunology and cardiovascular disease
Desai M, Emond MJ. A new mixture model approach to analyzing allelic-loss data using Bayes factors. BMC Bioinformatics 2004 Nov 24;5:182.
Desai M, Begg MD. A comparison of regression approaches for analyzing clustered data. Am J Public Health 2008 Aug; 98(8):1425-9.
Desai M, Kubo J, Esserman D, Terry MB. The handling of missing data in molecular epidemiology studies. Cancer Epidemiol Biomarkers Prev 2011 Aug; 20(8).
Desai M, Bryson SW, Robinson T. On the use of robust estimators for standard errors in the presence of clustering when clustering membership is misspecified. Contemp Clin Trials 2013; 34(2):248-56.
Bavinger C, Bendavid E, Niehaus K, Olshen RA, Olkin I, Sundaram V, Wein N, Holodniy M, Hou N, Owens DK, Desai M. Risk of cardiovascular disease from antiretroviral therapy for HIV: a systematic review. PLoS ONE2013; 8(3):e59551. PMCID:PMC3608726
Montez-Rath ME, Winkelmayer WC, Desai M. Addressing missing data in clinical studies of kidney disease. Clin J Am Soc Nephrol. 2014 Feb 7.
Desai M, Pieper K, Mahaffey K. Challenges and Solutions to Pre- and Post-Randomization Subgroup Analyses. Current Cardiology Reports. Curr Cardiol Rep. 2014 Oct;16(10):531.
Desai M, Joyce V, Bendavid E, Olshen RA, Hlatky M, Chow A, Holodniy M, Barnett P, Owens DK. Risk of cardiovascular events associated with current exposure to HIV antiretroviral therapies in a US veteran population. Clin Infect Dis. 2015 Aug 1;61(3):445-52.
Desai M, Mitani A, Bryson SW, Robinson T. Multiple imputation when rate of change is the outcome of interest. Journal of Modern Applied Statistical Methods. In Press.
Mitani A, Kurian A, Das A, Desai M. Navigating choices when applying multiple imputation in the presence of multi-level categorical interaction effects. Statistical Methodology. In Press.