Bibhas Chakraborty
@bibhas1002
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Associate Professor of Biostatistics at @dukenus, @NUSingapore, and @DukeU, specializing in trial designs, precision medicine, and digital health interventions
Singapore
Joined July 2020
It's exciting to see public health researchers embracing cutting-edge methods! I've been interviewed by the Editor-in-Chief of the American Journal of Public Health to chat about SMART and MRT designs... @AMJPublicHealth
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Proud of your never-give-up spirit in this battle, @DeliuNina
Thank you to @bibhas1002 who fought on my side this "really, really long battle", and to the overall 4 anonymous reviewers who all appreciated and encouraged us to push forward with this work.
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RT @DeliuNina: This is how I started my journey in #RL 5 years ago. How I started my PhD. I put all my heart into this work and at times…
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RT @DeliuNina: Now, if you want to know more about #reinforcementlearning, and its potential role in biostats and healthcare (with case stu…
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I'd like to express my gratitude to all my mentors, collaborators and students, who have helped establish my credibility, leading to this appointment. And thanks to @dukenus and @NUSingapore for supporting my career all along! #statistics #biostatistics #biometrics
Congrats to Assoc Prof Bibhas Chakraborty (@bibhas1002) on his new appointment as Associate Editor of Biometrics, a prestigious journal published by @IBSstats! #DukeNUS #GreaterThingsHappenHere #Biometrics #Biosciences #Publications
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RT @dukenus: Congrats to Assoc Prof Bibhas Chakraborty (@bibhas1002) on his new appointment as Associate Editor of Biometrics, a prestigiou…
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Happy to share our @dukenus lab's work on causal effect estimation of zero-inflated count data from #mhealth studies, led by PhD student Xueqing Liu @SusieinMay
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RT @DeliuNina: 5/n – This is a joint work with biostats and economics collaborators from Duke-NUS, NUS, and Yale: XinruWang, @bibhas1002, Y…
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RT @DeliuNina: 4/n – We finally illustrate the practical potential of the SMART-EXAM design using data from a SMART for children with atten…
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RT @DeliuNina: Working in sequential designs or DTRs? We propose a novel #SMART, under an economic Experiment-as-Market framework, that h…
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Happy to have presented our lab's #mobilehealth trial design work, involving the use of #artificialintelligence #ai, from Duke-NUS Medical School @dukenus at the Australian Clinical Trials Alliance International Clinical Trials Symposium 2023 in Melbourne! Thanks organisers!
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Engagement with digital or #mhealth interventions is a crucial step toward achieving any intervention effect whatsoever. @utekleong and I have just published a scoping review of #engagement with #mhealth interventions. Check this out:
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RT @caraantonaccio: this podcast is 🤌🤌🤌 @AlfredoMorabia, @bibhas1002, and @nickseewald on adaptive and micro-intervention designs
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Happy to find out that the following paper from our lab is a #TopCitedArticle published in #BiometricalJournal during Jan 2021 - Dec 2022: Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART)
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RT @mirandarwolpert: Fascinating insights from day 1. I am still mulling on a conversation about micro-randomisation and sequential multip…
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A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome
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Two papers from our lab, first-authored by PhD students Xinru Wang and Xueqing Liu, got featured on the cover of the Jan 2023 issue of @AMJPublicHealth! #DukeNUSResearch
@PublicHealth
Congratulations to Xinru Wang and Xueqing Liu from Duke-NUS' PhD in Quantitative Biology and Medicine whose published research papers made the cover of the @AMJPublicHealth! Read their papers at and #DukeNUSResearch
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