Bibhas Chakraborty

Associate Professor of Biostatistics at @dukenus, @NUSingapore, and @DukeU, specializing in trial designs, precision medicine, and digital health interventions

[Bibhas Chakraborty @bibhas1002]

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
https://t.co/qaQ0JmQuqh

[Bibhas Chakraborty @bibhas1002]

Proud of your never-give-up spirit in this battle, @DeliuNina

[Nina :Deliu @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.

[Nina :Deliu @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 I hated it (especially after 4 long years w 2revisions in StatSci!).
Finally out in ISR!

This was my lesson in surviving research.
https://t.co/qc8vY8QpWF

[Nina :Deliu @DeliuNina]

Now, if you want to know more about #reinforcementlearning, and its potential role in biostats and healthcare (with case studies), or open research directions, here, you can find my 5 cents.

[Bibhas Chakraborty @bibhas1002]

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

[Duke-NUS Medical School @dukenus]

Congrats to Assoc Prof Bibhas Chakraborty (@bibhas1002) on his new appointment as Associate Editor of Biometrics, a prestigious journal published by @IBSstats! https://t.co/sONvOSSqr6

#DukeNUS #GreaterThingsHappenHere #Biometrics #Biosciences #Publications

[Duke-NUS Medical School @dukenus]

Congrats to Assoc Prof Bibhas Chakraborty (@bibhas1002) on his new appointment as Associate Editor of Biometrics, a prestigious journal published by @IBSstats! https://t.co/sONvOSSqr6

#DukeNUS #GreaterThingsHappenHere #Biometrics #Biosciences #Publications

[Bibhas Chakraborty @bibhas1002]

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
https://t.co/7Z8pULBmpp

[Nina :Deliu @DeliuNina]

5/n – This is a joint work with biostats and economics collaborators from Duke-NUS, NUS, and Yale: XinruWang, @bibhas1002, YusukeNarita. Want to know more? Follow this link: https://t.co/jta4Jvtpdw

[Nina :Deliu @DeliuNina]

4/n – We finally illustrate the practical potential of the SMART-EXAM design using data from a SMART for children with attention-deficit/hyperactivity disorder (ADHD).

[Nina :Deliu @DeliuNina]

Working in sequential designs or DTRs?

We propose a novel #SMART, under an economic Experiment-as-Market framework, that holds the potential to improve participants’ welfare by incorporating their preferences and predicted treatment effects.
@MRC_BSU
https://t.co/jta4Jvtpdw

[Bibhas Chakraborty @bibhas1002]

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!

[Bibhas Chakraborty @bibhas1002]

@vicbiostat @AnurikaDeSilva @robertkmahar @JulieASimpson50 Congrats@

[Duke-NUS Medical School @dukenus]

Congrats to #DukeNUS PhD student Kenneth Lee on placing in the top 3 finalists for the Royal Statistical Society's Statistical Excellence Award for Early Career Writing! 🎉🙌 Read more at https://t.co/ugTakmpHj4

#MakeGreaterThingsHappen #statistics #PhD #achievements

[Bibhas Chakraborty @bibhas1002]

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: https://t.co/SDWr3xSHhT

[Cara M. Antonaccio, PhD, MSPH @caraantonaccio]

this podcast is 🤌🤌🤌

@AlfredoMorabia, @bibhas1002, and @nickseewald on adaptive and micro-intervention designs

[Bibhas Chakraborty @bibhas1002]

Look forward to giving this webinar on #mHealth using #AI tools at the Ashoka University, India...

[Bibhas Chakraborty @bibhas1002]

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) https://t.co/7sml3kYp6k

[Prof Miranda Wolpert @mirandarwolpert]

Fascinating insights from day 1.

I am still mulling on a conversation about micro-randomisation and sequential multiple assignment randomised trials with @zongel

How many MH trials are using these designs currently ?

[Bibhas Chakraborty @bibhas1002]

A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome https://t.co/LPY7sUoFIo

[Bibhas Chakraborty @bibhas1002]

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

[Duke-NUS Medical School @dukenus]

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 https://t.co/8K1ziZlvqJ and https://t.co/DbhNJpgTUk.

#DukeNUSResearch