Institute for Mathematical Sciences

Statistical Methods for Developing Personalized Mobile Health Interventions

(4 Feb - 1 Mar 2019)

Visitor List

Ian Ang
National University Health System, Singapore
Jiawei Bai
Johns Hopkins University, USA

Accelerometry data: from micro- to macro-level

Lauren Bell
London School of Hygiene & Tropical Medicine, UK

Trials for the development and evaluation of digital therapeutic apps: a scoping review

(PDF)

Niranjan Bidargaddi
Flinders University, Australia

mHealth systems to advance how we understand and approach mental illness

(Video)

Emma Cartwright
Nanyang Technological University, Singapore
Bibhas Chakraborty
National University of Singapore, Singapore

Dynamic treatment regimes and "SMART" design

(PDF) (Video)

Ying Chen
National University of Singapore, Singapore

TBA

Ngai-Man Cheung
Singapore University of Technology and Design, Singapore

Mobile AI for personalised healthcare

(Video)

Ying Kuen Cheung
Columbia University in the City of New York, USA

ROADMAP for precision and digital health

(Video)

Anna Choi
Stanford University, USA and The Chinese University of Hong Kong, Shenzhen, China

Mobile health technology in health applications
Note: Tze Leung Lai (in absentia), Stanford University, USA

(PDF 1, PDF 2, PDF 3)


Contextual multi-armed bandits in precision medicine and health
Note: Tze Leung Lai (in absentia), Stanford University, USA

(PDF 1, PDF 2, PDF 3)

Anne Chu
Agency for Science, Technology and Research (A*STAR), Singapore
Jesse Clifton
North Carolina State University, USA

Sample size considerations for precision medicine

(PDF) (Video)


Parameterized exploration

(PDF) (Video)

Alex Cook
National University of Singapore, Singapore

Use of RFID to detect proximity of individuals and their location in closed settings for outbreak modelling

Borame Sue Lee Dickens
National University of Singapore, Singapore

Addressing issues with GPS and tracking data collection: Correction algorithms for understanding movement

(Video)

Artur Direito
National University of Singapore, Singapore
Naihua Duan
Columbia University in the City of New York, USA

Personalized data science, small data, and N-of-1 trials

(PDF) (Video)

Palash Ghosh
Duke-NUS Medical School, Singapore

Dynamic generalized odds-ratio (dGOR): a novel approach to assess dynamic treatment regimes (DTR) with an ordinal outcome

(PDF)

Samiran Ghosh
Wayne State University School of Medicine, USA

Some aspects of SMART design: methodological developments and an application in mHealth intervention

(PDF) (Video)

Carol Hargreaves
National University of Singapore, Singapore
Feng He
National University of Singapore, Singapore
Su-Chin Hsu
National University of Singapore, Singapore
Pei-Yun Sabrina Hsueh
IBM Research in New York, USA

From real-world evidence to person-centered healthcare: applications of computational behavior science and interpretable AI/ML for minimally disruptive medicine

(PDF) (Video)

Jonathan Huang
Agency for Science, Technology and Research (A*STAR), Singapore

Introduction to causal inference in complex longitudinal settings

(PDF) (Video)

Ta-Cheng Huang
National University of Singapore, Singapore
Joseph Jay Williams
University of Toronto, Canada

Perpetually enhancing technology for human learning and behavior change, through dynamic, personalized, collaborative experimentation

(Related Slides, Related Video Recording) (Video)

Binyan Jiang
The Hong Kong Polytechnic University, Hong Kong

Entropy learning for dynamic treatment regimes

Chaeryon Kang
University of Pittsburgh, USA

Hybrid statistical and mechanistic mathematical model guides mobile health intervention for chronic pain

(PDF)

Gi-Soo Kim
Seoul National University, Korea

Contextual multi-armed bandit algorithm for semiparametric reward model

(PDF) (Video)

Jane Paik Kim
Stanford University, USA

Robust tests in online decision-making: testing the utility of data collected by wearables

(PDF) (Video)

Kah Wah Lai
DSO National Laboratories, Singapore
Tze Leung Lai
Stanford University, USA

Mobile health technology in health applications
Note: Tze Leung Lai (in absentia), Stanford University, USA

(PDF 1, PDF 2, PDF 3)


Distinguished Visitor Lecture Series:

Real world data, real world evidence, and decision analytics for precision medicine and health


Distinguished Visitor Lecture Series:

Latent state modeling in mobile health and diagnostic classification: Recent advances in the MCMC approach

(PDF) (Video)


Contextual multi-armed bandits in precision medicine and health
Note: Tze Leung Lai (in absentia), Stanford University, USA

(PDF 1, PDF 2, PDF 3)

Weiwen Leung
University of Toronto, Canada
Jialiang Li
National University of Singapore, Singapore

A model-based multi-threshold method for subgroup identification

(PDF) (Video)

Qingling Li
Duke-NUS, Singapore
Seaw Jia Liew
National University of Singapore, Singapore
Brian Y. Lim
National University of Singapore, Singapore

Interpreting step count activity patterns in an incentivized city-wide health intervention

Chang Siang Lim
National University of Singapore, Singapore
Jin Liu
Duke-NUS Medical School, Singapore
Raju Maiti
Duke-NUS Medical School, Singapore
Andre Matthias Muller
National University of Singapore, Singapore

Cognitive interviewing in e- & mHealth research

(PDF 1, PDF 2, PDF 3, PDF 4) (Video)

Susan A Murphy
Harvard University, USA

Distinguished Visitor Lecture Series:

Stratified micro-randomized trials with applications in mobile health

(Video)


Distinguished Visitor Lecture Series:

Challenges in developing learning algorithms to personalize treatment in real time

(Video)


Public Lecture:

Mobile Health Intervention Optimization

(Video)

Timothy NeCamp
University of Michigan, USA

Developing mHealth interventions to improve mood, activity, and sleep for medical interns

(PDF) (Video)

Nithya Neelakantan
National University of Singapore, Singapore
Wee Teck Ng
PMI, Switzerland
R. Todd Ogden
Columbia University, USA

Determining optimal treatments based on complex data

(PDF) (Video)

Min Qian
Columbia University in the City of New York, USA

Constructing personalized decision algorithm for mHealth applications

Tianchen Qian
Harvard University, USA

Estimating time-varying causal effect moderation in mobile health with binary outcomes

(PDF) (Video)

Mahdi Rasouli
National University of Singapore, Singapore
Yuri Rykov
Nanyang Technological University, Singapore
Sumaiya Sande
Research Scholar, Singapore
Rui Song
North Carolina State University, USA

Statistical inference for online decision-making: in a contextual bandit setting

Baoluo Sun
National University of Singapore, Singapore

Introduction to causal inference

(PDF) (Video)

TQ Taach
Nanyang Technological University, Singapore
Mya Thway Tint
National University of Singapore, Singapore
Aswin Venugopal
National University of Singapore, Singapore
Jingli Wang
National University of Singapore, Singapore
Yuan Wei
Singapore Clinical Research Institute, Singapore
Zhenke Wu
University of Michigan, USA

Latent variable regression analysis of longitudinal multivariate data with irregular and informative observation times

Kenny Xu
The University of Sydney, Australia
Jiali Yao
National University of Singapore, Singapore
Peiling Yap
National Centre for Infectious Diseases, Singapore

A digital community-based syndromic surveillance system for influenza and other acute respiratory infections in Singapore

(PDF) (Video)

Wenlun Yuan
National University of Singapore, Singapore
Yingqi Zhao
Fred Hutchinson Cancer Research Center, USA

Reinforced risk prediction with budget constraint

Qishi Zheng
Singapore Clinical Research Institute, SINGAPORE
Tony Zhong
Icahn School of Medicine at Mount Sinai, USA

A gate-keeping approach to selecting adaptive interventions under general SMART designs

(PDF)

Yanan Zhu
Agency for Science, Technology and Research (A*STAR), Singapore