Journal of Clinical & Medical Genomics

ISSN: 2472-128X

Open Access

Paramita Saha Chaudhuri

Paramita Saha Chaudhuri

Paramita Saha Chaudhuri
Assistant Professor, Department of Biostatistics and Bioinformatics
Duke University School of Medicine, USA


I received my PhD in Biostatistics from Department of Biostatistics, University of Washington, Seattle in 2009. I am an Assistant Professor in the Department of Biostatistics and Bioinformatics at Duke University. I was a Research Fellow at the Biostatistics Branch of The National Institute of Environmental Health Sciences (NIH) from June, 2009 - Sep, 2011.

Research Interest

Keywords: Time-dependent ROC, ROC for Cox model, AUC, C-index, competing risks, classification, prediction, accuracy, diagnostic, survival, longitudinal; group testing, specimen pooling, epidemiology, methods for observational studies, efficient study design for expensive biomarker, efficient use of archived specimen, DNA pooling; statistical software for time-dependent ROC.

Time-dependent Predictive Accuracy: I am interested in developing new methodology to assess predictive accuracy of a marker or a risk-score or a set of covariates to predict a time-to-event or survival outcome. Standard diagnostic accuracy summaries like True and False Positive Proportions and ROC curves were extended to accommodate censored survival data and I hope to further extend this new area of research.

Pooled Exposure Analysis for Effect Assessment: I am also interested in efficient (cost-effective) study designs and how they can be employed in risk assessment. Currently I am researching pooled specimen analysis as a cost-effective alternative to standard analysis for estimating risk parameters.

Gene by Environment Interaction in Longitudinal setting: I recently got interested in estimation of GxE interaction based on longitudinal data. I am learning about powerful tests of interaction based on reduced models, such as Tukey's 1-df model.

Other: Statistical methods for observational and epidemiological studies and in particular, methods for survival analysis, classification and prediction, longitudinal data are also of interest.


tempobet giriş

tempobet giriş


tipobet yeni giriş adresi tipobet e yeni giriş tipobet güncel giriş adresi imajbet giriş adresi

mobilbahis giriş

arrow_upward arrow_upward