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American Journal of Public Health|December 14, 2022
The Sequential Multiple Assignment Randomized Trial for Controlling Infectious Diseases: A Review of Recent DevelopmentsXinru Wang, Bibhas ChakrabortyBiometrics|February 16, 2024
Incorporating participants' welfare into sequential multiple assignment randomized trialsXinru Wang, Nina Deliu, Yusuke Narita, et al.Acta Neurochirurgica|February 11, 2025
Causal inference from observational data in neurosurgical studies: a mini-review and tutorialMingxuan Liu, Xinru Wang, Jin Wee Lee, et al.American Journal of Public Health|November 20, 2010
Dynamic treatment regimes for managing chronic health conditions: a statistical perspectiveBibhas ChakrabortyJMIR Mhealth and Uhealth|May 22, 2023
Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping ReviewUtek Leong, Bibhas ChakrabortyAnnual Review of Statistics and Its Application|November 18, 2014
Dynamic Treatment RegimesBibhas Chakraborty, Susan A MurphyAmerican Journal of Public Health|November 22, 2022
Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public HealthXueqing Liu, Nina Deliu, Bibhas ChakrabortyStatistics in Medicine|February 2, 2023
A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcomePalash Ghosh, Xiaoxi Yan, Bibhas ChakrabortyStatistics in Medicine|January 12, 2016
Q-learning residual analysis: application to the effectiveness of sequences of antipsychotic medications for patients with schizophreniaAshkan Ertefaie, Susan Shortreed, Bibhas ChakrabortyBiometrical Journal. Biometrische Zeitschrift|June 13, 2020
Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART)Xiaoxi Yan, Palash Ghosh, Bibhas ChakrabortyPageof 77