Bibhas Chakraborty

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MEH ONGSenior Consultant, Singapore General HospitalZweryfikowany adres z sgh.com.sg
Feng XIEUniversity of Minnesota Twin CitiesZweryfikowany adres z stanford.edu
Nan LIU, PhDDuke-NUS Medical SchoolZweryfikowany adres z duke-nus.edu.sg
Susan MurphyHarvard UniversityZweryfikowany adres z g.harvard.edu
Dr. Palash GhoshAssistant Professor, Indian Institute of Technology Guwahati, IndiaZweryfikowany adres z iitg.ac.in
Erica EM MoodieMcGill UniversityZweryfikowany adres z mcgill.ca
Mary E NorthridgeNew York University Grossman School of Medicine and School of Global Public HealthZweryfikowany adres z nyulangone.org
Linda M. CollinsProfessor of Social and Behavioral Sciences and Biostatistics, School of Global Public Health, NYUZweryfikowany adres z nyu.edu
Sara MetcalfProfessor of Geography, University at BuffaloZweryfikowany adres z buffalo.edu
Adrian AguileraAssociate Professor, University of California Berkeley/University of California San FranciscoZweryfikowany adres z berkeley.edu
Roderick LittleProfessor of Biostatistics and Statistics, University of MichiganZweryfikowany adres z umich.edu
Ira LamsterDean Emeritus, Columbia University College of Dental MedicineZweryfikowany adres z cumc.columbia.edu
JB McClureZweryfikowany adres z ghc.org
Carola CarlierEditor, ISR, University of MichiganZweryfikowany adres z umich.edu
Sarah M. GreeneNational Academy of MedicineZweryfikowany adres z nas.edu
Cynthia S. PomerleauResearch Professor Emerita, Department of Psychiatry, University of MichiganZweryfikowany adres z umich.edu
Ovide PomerleauUniversity of MichiganZweryfikowany adres z umich.edu
David MatcharProfessor of Medicine, Duke UniversityZweryfikowany adres z duke-nus.edu.sg
Julian ThumbooSingapore General HospitalZweryfikowany adres z singhealth.com.sg
Carol KunzelColumbia University College of Dental MedicineZweryfikowany adres z cumc.columbia.edu

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Bibhas Chakraborty

Associate Professor, Duke-NUS Medical School, National University of Singapore

Zweryfikowany adres z duke-nus.edu.sg - Strona główna

Dynamic Treatment Regimes Adaptive Clinical Trials Mobile and Digital Health Reinforcement Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Statistical methods for dynamic treatment regimes B Chakraborty, EEM Moodie Springer, 2013	521	2013
Dynamic treatment regimes B Chakraborty, SA Murphy Annual review of statistics and its application 1 (1), 447-464, 2014	353	2014
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	351	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	332	2008
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	229	2010
COVID-19 in India: statewise analysis and prediction P Ghosh, R Ghosh, B Chakraborty JMIR public health and surveillance 6 (3), e20341, 2020	151	2020
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	147	2013
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	131	2012
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	117	2020
Developing multicomponent interventions using fractional factorial designs B Chakraborty, LM Collins, VJ Strecher, SA Murphy Statistics in medicine 28 (21), 2687-2708, 2009	115	2009
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	112	2022
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	87	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	77	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	76	2008
Shapley variable importance cloud for interpretable machine learning Y Ning, MEH Ong, B Chakraborty, BA Goldstein, DSW Ting, R Vaughan, ... Patterns 3 (4), 2022	73	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	70	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	69	2015
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	66	2016
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	65	2014
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques M Liu, S Li, H Yuan, MEH Ong, Y Ning, F Xie, SE Saffari, Y Shang, ... Artificial intelligence in medicine 142, 102587, 2023	64	2023

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