Nandini Dendukuri is an Associate Professor at the Department of Medicine, McGill University, Montreal and Associate Director of the Centre for Outcomes Research (CORE) of the McGill University Health Centre – Research Institute. Her research program in the area of developing Bayesian statistical methods for diagnostic test evaluation in the absence of a perfect reference test is supported by grants from the Canadian Institutes of Health Research (CIHR) and Natural Sciences and Engineering Research Council of Canada (NSERC). She is currently an editor with the Cochrane Collaboration’s Diagnostic Test Accuracy evaluation group.
Current Research Projects:
- Novel and Optimized Diagnostics for Pediatric TB (Funded by NIH): This project involves collaboration with an international team led by Jerrold Ellner and colleagues from Rutgers University. It aims to evaluate novel tests that diagnose TB by detecting Mycobacterium Tuberculosis bacterial products and host biomarkers in non-sputum body fluids. Data has been obtained from sites in Uganda and Kenya. The team at McGill University is involved in developing a customized latent class model.
- Bayesian Latent Class Models (Funded by NSERC): This project supports the development of statistical methodology necessary to support the application of latent class models for the evaluation of diagnostic tests. We have developed methods to improve interpretation, check for identifiability, estimate diagnostic yield and correct for reference standard bias in a meta-analysis setting. Applications include the evaluation of tests for pediatric TB and extra-pulmonary TB. Collaborators include Karen Steingart (Cochrane Collaboration), Madhukar Pai (McGill University), Claudia Denkinger (University of Heidelberg) and James Seddon (Stellenbosch University).
Email: nandini.dendukuri [at] mcgill.ca
