Bibhas Chakraborty
Bibhas Chakraborty
Associate Professor, Duke-NUS Medical School, National University of Singapore
Verified email at - Homepage
Cited by
Cited by
Statistical methods for dynamic treatment regimes
B Chakraborty, EE Moodie
Springer-Verlag. doi 10 (978-1), 4.1, 2013
Web-based smoking-cessation programs: results of a randomized trial
VJ Strecher, JB McClure, GL Alexander, B Chakraborty, VN Nair, ...
American journal of preventive medicine 34 (5), 373-381, 2008
The role of engagement in a tailored web-based smoking cessation program: randomized controlled trial
V Strecher, J McClure, G Alexander, B Chakraborty, V Nair, J Konkel, ...
Journal of medical Internet research 10 (5), e1002, 2008
Dynamic treatment regimes
B Chakraborty, SA Murphy
Annual review of statistics and its application 1, 447-464, 2014
Inference for non-regular parameters in optimal dynamic treatment regimes
B Chakraborty, S Murphy, V Strecher
Statistical methods in medical research 19 (3), 317-343, 2010
Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m-Out-of-n Bootstrap Scheme
B Chakraborty, EB Laber, Y Zhao
Biometrics 69 (3), 714-723, 2013
COVID-19 in India: statewise analysis and prediction
P Ghosh, R Ghosh, B Chakraborty
JMIR public health and surveillance 6 (3), e20341, 2020
Q‐learning for estimating optimal dynamic treatment rules from observational data
EEM Moodie, B Chakraborty, MS Kramer
Canadian Journal of Statistics 40 (4), 629-645, 2012
Developing multicomponent interventions using fractional factorial designs
B Chakraborty, LM Collins, VJ Strecher, SA Murphy
Statistics in medicine 28 (21), 2687-2708, 2009
AutoScore: a machine learning–based automatic clinical score generator and its application to mortality prediction using electronic health records
F Xie, B Chakraborty, MEH Ong, BA Goldstein, N Liu
JMIR medical informatics 8 (10), e21798, 2020
Comparison of a phased experimental approach and a single randomized clinical trial for developing multicomponent behavioral interventions
LM Collins, B Chakraborty, SA Murphy, V Strecher
Clinical Trials 6 (1), 5-15, 2009
Screening experiments and the use of fractional factorial designs in behavioral intervention research
V Nair, V Strecher, A Fagerlin, P Ubel, K Resnicow, S Murphy, R Little, ...
American Journal of Public Health 98 (8), 2008
mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study
A Aguilera, CA Figueroa, R Hernandez-Ramos, U Sarkar, A Cemballi, ...
BMJ open 10 (8), e034723, 2020
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F Xie, H Yuan, Y Ning, MEH Ong, M Feng, W Hsu, B Chakraborty, N Liu
Journal of biomedical informatics 126, 103980, 2022
Tooth loss and dental caries in community‐dwelling older adults in northern Manhattan
ME Northridge, FV Ue, LN Borrell, LD De La Cruz, B Chakraborty, ...
Gerodontology 29 (2), e464-e473, 2012
Sequential multiple assignment randomized trial (SMART) with adaptive randomization for quality improvement in depression treatment program
YK Cheung, B Chakraborty, KW Davidson
Biometrics 71 (2), 450-459, 2015
Inference about the expected performance of a data-driven dynamic treatment regime
B Chakraborty, EB Laber, YQ Zhao
Clinical Trials 11 (4), 408-417, 2014
Vitamin D levels and the risk of cognitive decline in Chinese elderly people: the Chinese Longitudinal Healthy Longevity Survey
DB Matchar, CL Chei, ZX Yin, V Koh, B Chakraborty, XM Shi, Y Zeng
Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences …, 2016
Treating anemia in older adults with heart failure with a preserved ejection fraction with epoetin alfa: single-blind randomized clinical trial of safety and efficacy
MS Maurer, S Teruya, B Chakraborty, S Helmke, D Mancini
Circulation: Heart Failure 6 (2), 254-263, 2013
Modeling social dimensions of oral health among older adults in urban environments
SS Metcalf, ME Northridge, MJ Widener, B Chakraborty, SE Marshall, ...
Health Education & Behavior 40 (1_suppl), 63S-73S, 2013
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