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Bibhas Chakraborty

Showing results (1-10 of 107) with videos related to

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American Journal of Public Health|November 20, 2010
Dynamic treatment regimes for managing chronic health conditions: a statistical perspectiveBibhas Chakraborty
JMIR Mhealth and Uhealth|May 22, 2023
Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping ReviewUtek Leong, Bibhas Chakraborty
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 Chakraborty
Annual Review of Statistics and Its Application|November 18, 2014
Dynamic Treatment RegimesBibhas Chakraborty, Susan A Murphy
American Journal of Public Health|November 22, 2022
Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public HealthXueqing Liu, Nina Deliu, Bibhas Chakraborty
Statistics 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 Chakraborty
Statistics 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 Chakraborty
Biometrical 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 Chakraborty
JMIR Public Health and Surveillance|August 9, 2020
COVID-19 in India: Statewise Analysis and PredictionPalash Ghosh, Rik Ghosh, Bibhas Chakraborty
Statistical Methods in Medical Research|July 18, 2009
Inference for non-regular parameters in optimal dynamic treatment regimesBibhas Chakraborty, Susan Murphy, Victor Strecher
Pageof 11

Showing results (1-10 of 107) with videos related to

Sort By:
Pageof 11
American Journal of Public Health|November 20, 2010
Dynamic treatment regimes for managing chronic health conditions: a statistical perspectiveBibhas Chakraborty
JMIR Mhealth and Uhealth|May 22, 2023
Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping ReviewUtek Leong, Bibhas Chakraborty
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 Chakraborty
Annual Review of Statistics and Its Application|November 18, 2014
Dynamic Treatment RegimesBibhas Chakraborty, Susan A Murphy
American Journal of Public Health|November 22, 2022
Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public HealthXueqing Liu, Nina Deliu, Bibhas Chakraborty
Statistics 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 Chakraborty
Statistics 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 Chakraborty
Biometrical 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 Chakraborty
JMIR Public Health and Surveillance|August 9, 2020
COVID-19 in India: Statewise Analysis and PredictionPalash Ghosh, Rik Ghosh, Bibhas Chakraborty
Statistical Methods in Medical Research|July 18, 2009
Inference for non-regular parameters in optimal dynamic treatment regimesBibhas Chakraborty, Susan Murphy, Victor Strecher
Pageof 11