AJPH APHA The January issue of AJPH has a special section dedicated to Emerging Methods in Public health: Sequential Multiassignment RCT, Microrandomized Trials, Small Are Estimations. #TocAJPH

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 AJPH! #DukeNUSResearch APHA

A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome onlinelibrary.wiley.com/doi/10.1002/si…

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 ?

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) onlinelibrary.wiley.com/doi/10.1002/bi…

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

this podcast is 🤌🤌🤌 Alfredo Morabia, Bibhas Chakraborty, and @nickseewald on adaptive and micro-intervention designs

Engagement with digital or #mhealth interventions is a crucial step toward achieving any intervention effect whatsoever. Utek and I have just published a scoping review of #engagement with #mhealth interventions. Check this out: mhealth.jmir.org/2023/1/e44685

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 significancemagazine.com/10-news/741-20… #MakeGreaterThingsHappen #statistics #PhD #achievements

Happy to have presented our lab's #mobilehealth trial design work, involving the use of #artificialintelligence #ai, from Duke-NUS Medical School Duke-NUS Medical School at the Australian Clinical Trials Alliance International Clinical Trials Symposium 2023 in Melbourne! Thanks organisers!

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 Biostatistics Unit academic.oup.com/biometrics/art…

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).

5/n – This is a joint work with biostats and economics collaborators from Duke-NUS, NUS, and Yale: XinruWang, Bibhas Chakraborty, YusukeNarita. Want to know more? Follow this link: academic.oup.com/biometrics/art…

Happy to share our Duke-NUS Medical School lab's work on causal effect estimation of zero-inflated count data from #mhealth studies, led by PhD student Xueqing Liu Xueqing Liu academic.oup.com/biometrics/art…

Congrats to Assoc Prof Bibhas Chakraborty (Bibhas Chakraborty) on his new appointment as Associate Editor of Biometrics, a prestigious journal published by IBS! biometrics.biometricsociety.org/home/associate… #DukeNUS #GreaterThingsHappenHere #Biometrics #Biosciences #Publications

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 Duke-NUS Medical School and NUS for supporting my career all along! #statistics #biostatistics #biometrics

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. onlinelibrary.wiley.com/doi/10.1111/in…

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.

Proud of your never-give-up spirit in this battle, Nina :Deliu