Jaymini Patel
Researcher
Faculty of Medicine
National Heart Lung Institute
United Kingdom
Biography
Jaymini Patel studied Mathematics and Statistics for her undergraduate degree at Sardar Patel University in India. She then completed a Master’s degree in Statistics at same university. After moving to London and having a family, Jaymini completed an MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine in 2010. Thereafter, she worked at the Wolfson Institute of Preventive Medicine, Queen Mary University of London. In 2012, Jaymini joined the Department of Respiratory Epidemiology, Public Health and Occupational Medicine where she has been working as Medical Statistician on the Burden of Lung Disease (BOLD) project. Her main research interests are in the epidemiology of chronic lung diseases and statistical genetics and Bayesian Statistical methods. Currently, she is a PhD student. Her project involves applying novel statistical methods using the Bayesian frame work to increase power. Aim of the project is to investigate the risk factors of chronic airflow obstruction(CAO) using the BOLD data and to estimate the magnitude of their effects and their public health impact in different parts of the world. She is also applying the Bayesian approach to impute the variables which are missing by design across studies.
Research Interest
Statistics, statistical genetics
Publications
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Amaral AFS, Patel J, Gnatiuc L, et al., 2015, Association of pulse wave velocity with total lung capacity: A cross-sectional analysis of the BOLD London study, Respiratory Medicine, Vol:109, ISSN:0954-6111, Pages:1569-1575
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Townend J, Minelli C, Mortimer K, et al., 2017, The association between chronic airflow obstruction and poverty in 12 sites of the multinational BOLD study, European Respiratory Journal, Vol:49, ISSN:0903-1936