Bibhas Chakraborty

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Randomized Controlled Trial

Machine Learning

Electronic Health Record

Cross Sectional

Top Venues

Statistical methods in medical research

Statistics in medicine

JMIR research protocols

JMIR mHealth and uHealth

This page only lists publications with an associated author ORCID identifier.

Publications

Erina Paul, Bibhas Chakraborty, Alla Sikorskii, Samiran Ghosh
A framework for testing non-inferiority in a three-arm, sequential, multiple assignment randomized trial. Statistical methods in medical research 33 (4) (2024)
Erina Paul, Bibhas Chakraborty, Alla Sikorskii, Samiran Ghosh
A framework for testing non-inferiority in a three-arm, sequential, multiple assignment randomized trial. Statistical methods in medical research (2024)
Xinru Wang, Nina Deliu, Yusuke Narita, Bibhas Chakraborty
Incorporating participants' welfare into sequential multiple assignment randomized trials. Biometrics 80 (1) (2024)
Erina Paul, Bibhas Chakraborty, Alla Sikorskii, Samiran Ghosh
A framework for testing non-inferiority in a three-arm, sequential, multiple assignment randomized trial. Statistical methods in medical research 33 (4) (2024)
Xueqing Liu, Tianchen Qian, Lauren Bell, Bibhas Chakraborty
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes. Biometrics 80 (2) (2024)
Palash Ghosh, Xiaoxi Yan, Bibhas Chakraborty
A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome. Statistics in medicine 42 (7) (2023)
Jamie Yap, John J Dziak, Raju Maiti, Kevin G Lynch, James R McKay, Bibhas Chakraborty, Inbal Nahum-Shani
Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes. Statistical methods in medical research (2023)
Sayan Mitra, Cynthia M Kroeger, Jing Xu, Leah Avery, Andrius Masedunskas, Sophie Cassidy, Tian Wang, Imre Hunyor, Ian Wilcox, Robin Huang, Bibhas Chakraborty, Luigi Fontana
Testing the Effects of App-Based Motivational Messages on Physical Activity and Resting Heart Rate Through Smartphone App Compliance in Patients With Vulnerable Coronary Artery Plaques: Protocol for a Microrandomized Trial. JMIR research protocols 12 (2023)
Jamie Yap, John J Dziak, Raju Maiti, Kevin G Lynch, James R McKay, Bibhas Chakraborty, Inbal Nahum-Shani
Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes. Statistical methods in medical research (2023)
Jing Xu, Xiaoxi Yan, Caroline Figueroa, Joseph Jay Williams, Bibhas Chakraborty
A flexible micro-randomized trial design and sample size considerations. Statistical methods in medical research (2023)
Utek Leong, Bibhas Chakraborty
Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review. JMIR mHealth and uHealth 11 (2023)
Palash Ghosh, Xiaoxi Yan, Bibhas Chakraborty
A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome. Statistics in medicine 42 (7) (2023)
Utek Leong, Bibhas Chakraborty
Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review. JMIR mHealth and uHealth 11 (2023)
Palash Ghosh, Xiaoxi Yan, Bibhas Chakraborty
A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome. Statistics in medicine (2023)
Palash Ghosh, Xiaoxi Yan, Bibhas Chakraborty
A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome. Statistics in medicine 42 (7) (2023)
Yilin Ning, Siqi Li, Marcus Eng-Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study. PLOS digital health 1 (6) (2022)
Raju Maiti, Jialiang Li, Priyam Das, Xueqing Liu, Lei Feng, Derek J Hausenloy, Bibhas Chakraborty
A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification. Statistical methods in medical research (2022)
Yilin Ning, Siqi Li, Marcus Eng-Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study. PLOS digital health 1 (6) (2022)
Nan Liu, Feng Xie, Fahad Javaid Siddiqui, Andrew Fu-Wah Ho, Bibhas Chakraborty, Gayathri Devi Nadarajan, Kenneth Boon Kiat Tan, Marcus Eng-Hock Ong
Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation. JMIR research protocols 11 (3) (2022)
Adrian Aguilera, Rosa Hernandez-Ramos, Alein Y Haro-Ramos, Claire Elizabeth Boone, Tiffany Christina Luo, Jing Xu, Bibhas Chakraborty, Chris J Karr, Sabrina Michelle Darrow, Caroline Astrid Figueroa
A Text Messaging Intervention (StayWell at Home) to Counteract Depression and Anxiety During COVID-19 Social Distancing: Pre-Post Study. JMIR mental health 8 (11) (2021)
Robert K Mahar, Myra B McGuiness, Bibhas Chakraborty, John B Carlin, Maarten J IJzerman, Julie Anne Simpson
A scoping review of studies using observational data to optimise dynamic treatment regimens. BMC medical research methodology 21 (1) (2021)
Caroline Astrid Figueroa, Rosa Hernandez-Ramos, Claire Elizabeth Boone, Laura Elizabeth Pathak, Vivian Yip, Tiffany Christina Luo, Valentín Sierra, Jing Xu, Bibhas Chakraborty, Sabrina Michelle Darrow, Adrian Aguilera
A Text Messaging Intervention for Coping With Social Distancing During COVID-19 (StayWell at Home): Protocol for a Randomized Controlled Trial. JMIR research protocols 10 (1) (2021)
Feng Xie, Bibhas Chakraborty, Marcus Eng-Hock Ong, Benjamin Alan Goldstein, Nan Liu
AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records. JMIR medical informatics 8 (10) (2020)
Xiaoxi Yan, Palash Ghosh, Bibhas Chakraborty
Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART). Biometrical journal. Biometrische Zeitschrift 63 (2) (2020)
Palash Ghosh, Rik Ghosh, Bibhas Chakraborty
COVID-19 in India: Statewise Analysis and Prediction. JMIR public health and surveillance 6 (3) (2020)
Bibhas Chakraborty, Raju Maiti, Victor J Strecher
The Effectiveness of Web-Based Tailored Smoking Cessation Interventions on the Quitting Process (Project Quit): Secondary Analysis of a Randomized Controlled Trial. Journal of medical Internet research 20 (6) (2018)