Institute for Mathematical Sciences

Workshop on Analysis of Data from mHealth Intervention Studies

(25 Feb - 1 Mar 2019)

Venue: IMS Auditorium
Venue: Block S16, #06-118, Seminar Room, Department of Statistics and Applied Probability, NUS, 6 Science Drive 2, Singapore 117546 (27 Feb 2019 Afternoon)
PDF Abstracts

Monday, 25 Feb 2019

08:45am - 09:00amRegistration
09:00am - 10:00am

Distinguished Visitor Lecture Series:

Assessing time-varying causal interactions and treatment effects with applications to mobile health



Susan A Murphy
Harvard University, USA
10:00am - 10:30amCoffee Break & Group Photo
10:30am - 11:30am

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



Zhenke Wu
University of Michigan, USA
11:30am - 01:30pmLunch Break
01:30pm - 02:30pm

Parameterized exploration



Jesse Clifton
North Carolina State University, USA
02:30pm - 03:30pm

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



Jane Paik Kim
Stanford University, USA
03:30pm - 04:00pmCoffee Break

Tuesday, 26 Feb 2019

08:45am - 09:00amRegistration
09:00am - 10:00am

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



Rui Song
North Carolina State University, USA
10:00am - 10:30amCoffee Break
10:30am - 11:30am

Sample size considerations for precision medicine



Jesse Clifton
North Carolina State University, USA
11:30am - 01:30pmLunch Break
01:30pm - 02:30pm

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



Alex Cook
National University of Singapore, Singapore
02:30pm - 03:30pm

Accelerometry data: from micro- to macro-level



Jiawei Bai
Johns Hopkins University, USA
03:30pm - 04:00pmCoffee Break
04:00pm - 05:00pm

Contextual multi-armed bandit algorithm for semiparametric reward model



Gi-Soo Kim
Seoul National University, Korea

Wednesday, 27 Feb 2019

08:45am - 09:00amRegistration
09:00am - 10:00am

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



Pei-Yun Sabrina Hsueh
IBM Research in New York, USA
10:00am - 10:30amCoffee Break
10:30am - 11:30am

Constructing personalized decision algorithm for mHealth applications



Min Qian
Columbia University in the City of New York, USA
11:30am - 02:00pmLunch Reception at DSAP
02:00pmVenue: Block S16, #06-118, Seminar Room, Department of Statistics and Applied Probability, NUS, 6 Science Drive 2, Singapore 117546
02:00pm - 03:00pm

Distinguished Visitor Lecture Series:

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



Tze Leung Lai
Stanford University, USA
03:00pm - 03:30pmCoffee Break
03:30pm - 04:30pm

Constructing stabilized dynamic treatment regimes for censored data



Yingqi Zhao
Fred Hutchinson Cancer Research Center, USA

Thursday, 28 Feb 2019

08:45am - 09:00amRegistration
09:00am - 10:00am

Distinguished Visitor Lecture Series:

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



Tze Leung Lai
Stanford University, USA
10:00am - 10:30amCoffee Break
10:30am - 11:30am

Entropy learning for dynamic treatment regimes



Binyan Jiang
The Hong Kong Polytechnic University, Hong Kong
11:30am - 01:30pmLunch Break
01:30pm - 02:30pm

Determining optimal treatments based on complex data



R. Todd Ogden
Columbia University, USA
02:30pm - 03:30pm

A model-based multi-threshold method for subgroup identification



Jialiang Li
National University of Singapore, Singapore
03:30pm - 04:00pmCoffee Break
04:00pm - 05:00pm

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



Borame Sue Lee Dickens
National University of Singapore, Singapore