Institute for Mathematical Sciences Event Archive

Quantitative Methods for Drug Discovery and Development

(19 Jun - 14 Jul 2017)

Visitor List

Yan Shan Ang
National University of Singapore, Singapore
Frank Bretz
Novartis Pharma AG, Switzerland

Equivalence of regression curves

(PDF, Video)

Bibhas Chakraborty
Duke-NUS Medical School, Singapore

Design and analysis of sequential multiple-assignment randomized trials (SMARTs)

(PDF)

Joyeeta Chakraborty
Indian Statistical Institute, India
Ivan S.F. Chan
AbbVie, USA

Opportunities of statistics for precision medicine in drug development

(PDF)

Probal Chaudhuri
Indian Statistical Institute, India

Depth regression with application to functional data

(PDF)

James J Chen
University of Arkansas for Medical Science, USA

Biomarker-based subgroup selection for treatment assignment

(PDF)

Yi-Hau Chen
Institute of Statistical Science Academia Sinica, Taiwan

Optimal linear combination of biomarkers for multi-category diagnosis

(PDF)

Ying Chen
NUS Saw Swee Hock School of Public Health, Singapore
Zhaojin Chen
National University of Singapore, Singapore
Hsiao-ju Cheng
National University of Singapore, Singapore
Ying Kuen Cheung
Columbia University, USA

Sequential designs for individualized dosing algorithms

(PDF, Video)

Keumhee Carriere Chough
University of Alberta, Canada

N-of-1 trials for individualized patient care

(PDF)

Sarmistha Das
Indian Statistical Institute, India
Holger Dette
Ruhr-Universitaet Bochum, Germany

Optimal designs for comparing (dose response) curves

(PDF, Video)

Alex Dmitrienko
Mediana, Inc., USA

Multiplicity issues in exploratory subgroup analysis

(PDF)

Xiajia Ge
National University of Singapore, Singapore
Roman Guchenko
St. Petersburg State University, Russia
Andreas Gunawan
National University of Singapore, Singapore
Toshimitsu Hamasaki
Osaka University and National Cerebral and Cardiovascular Center, Japan

Multiplicity considerations in design, data monitoring and analysis of clinical trials with co-primary endpoints

(PDF)

Weiqiang Hang
National University of Singapore, Singapore
Xiaojing Huo
Genome Institute of Singapore, A*STAR, Singapore
Tze Leung Lai
Stanford University, USA

Tutorial:

Medical Product Safety: Biological Models and Statistical Methods

(PDF)

J. Jack Lee
The University of Texas MD Anderson Cancer Center, USA

Bayesian adaptive designs in the era of personalized medicine-promise and progress

(PDF)

Boon Char Leuar
Ministry of Education, Singapore
Hongzhe Li
University of Pennsylvania, USA

Integrative analysis for incorporating the microbiome to improve precision medicine

(PDF)

Jialiang Li
National University of Singapore, Singapore

Entropy learning for dynamic treatment regimes

(PDF)

Yi Li
University of Michigan, USA

Classification with ultrahigh-dimensional features

(PDF)

Teck Por Lim
Genome Institute of Singapore, A*STAR
Xihong Lin
Harvard University, USA

Analysis of massive genome, exposome and phenome data

Xinyi Cindy Lin
Duke-NUS, Singapore
Jin Liu
Duke - NUS Medical School
Wenting Liu
Genome Institute of Singapore, A*STAR, Singapore
Wei Liem Loh
National University of Singapore, Singapore
Wei-Yin Loh
University of Wisconsin-Madison, USA

Tutorial:

Regression tree methods for precision medicine

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


A regression tree method for subgroup identification of differential treatment effects

(PDF)

Ying Lu
Stanford University, USA

Designs of dose escalation studies in phase I oncology trials

(PDF, Video)

Cheng-yu Ma
National University of Singapore, Singapore
Xiwen Ma
Sanofi, France

Optimizing personalized treatment in dose ranging study

(PDF)

Raju Maiti
Duke - NUS Medical School
Adrian Mander
MRC Biostatistics Unit, UK

Adaptive biomarker trial designs

(PDF, Video)

Pronoy Kanti Mondal
Indian Statistical Institute, India
Peter Mueller
University of Texas at Austin, USA

A nonparametric bayesian basket trial design

(PDF, Video)

Indranil Mukhopadhyay
Indian Statistical Institute, India

Multi-loci association test in genetic association study using similarity between individuals

(PDF)

Yili Pritchett
MedImmune, USA

The utility of adaptive enrichment designs in the era of developing personalized medicine

(PDF)

Annie Qu
University of Illinois, USA

Individualized multi-directional variable selection

(PDF)

Yevgen Ryeznik
Uppsala University, Sweden
Ibrahim Sadek
Institute for Infocomm Research, A*STAR, Singapore
Stephen Senn
Luxembourg Institute of Health, Luxembourg

Personalised medicine: from hype to scepticism to realism?

(PDF, Video)

Lei Shen
Eli Lilly and Company, USA

Subgroup identification for personalized medicine

(PDF)

Haolun Shi
University of Hong Kong, Hong Kong
Mei-Chiung Shih
Stanford University, USA

Learning VA healthcare system through large cooperative studies

(PDF)

Yu-Shan Shih
National Chung Cheng University, Taiwan
Sucitro Dwijayana Sidharta
National University of Singapore, Singapore
Noah Simon
University of Washington, USA

Adaptive enrichment trials for biomarker-guided treatments

(PDF)


Accounting for selection bias in high-throughput experiments

(PDF)

Xiaogang Su
University of Texas at El Paso, USA

Random forests of interaction trees for estimating individualized treatment effects in randomized trials

(PDF)

BaoLuo Sun
Genome Institute of Singapore, Singapore
Bee Choo Tai
National University of Singapore, Singapore
Chuen Seng Tan
NUS Saw Swee Hock School of Public Health
Yik Ying Teo
National University of Singapore, Singapore

The promise and peril of healthcare analytics: two examples in healthcare resource planning and frequent flyer identification

(PDF)

Lu Tian
Stanford University, USA

Innovative methods for the identification of predictive biomarker signatures in oncology

(PDF)

Yasunori Ushida
Ono Pharmaceutical, Japan
Chaolong Wang
Genome Institute of Singapore, Singapore

Methods on the usage of common controls for genetic association studies

Jingli Wang
National University of Singapore, Singapore
Ling Wang
Genome Institute of Singapore, Singapore
Mei-Cheng Wang
Johns Hopkins University, USA

Optimal combination of multiple markers and applications to survival data with disease-free sampling

(PDF)

Sue-Jang Wang
U.S. Food and Drug Administration, USA

A brief overview of adaptive enrichment with subpopulation selection in precision medicine

(PDF)

Yuanjia Wang
Columbia University, USA

Matched learning for estimating optimal individualized treatment rules from clinical trials and observational studies

(PDF)

Jun Wen
National University of Singapore, Singapore
Weng Kee Wong
University of California, Los Angeles, USA
Kenny Xu
Duke - NUS Medical School
Weinan Xu
National University of Singapore, Singapore
Wenfu Xu
The Chinese University of Hong Kong, Hong Kong
Von Bing Yap
National University of Singapore, Singapore
Guosheng Yin
The University of Hong Kong, Hong Kong

NOC: nonparametric overdose control in phase I clinical trials

(PDF, Video)

Fang You
National University of Singapore, Singapore
Menggang Yu
University of Wisconsin-Madison, USA

Treatment recommendation and parameter estimation under single-index contrast function

(PDF)

Ying Yuan
The University of Texas MD Anderson Cancer Center, USA

BOIN: a novel platform for designing early phase single-agent and drug-combination clinical trials

(PDF, Video)

Mu Yue
National University of Singapore, Singapore
Donglin Zeng
University of North Carolina at Chapel Hill, USA

Sequential multiple assignment randomization trials with enrichment design

(PDF, Video)

Jiajie Zeng
National University of Singapore, Singapore
Liang Zhang
National University of Singapore, Singapore
Xiaoe Zhang
Lundbeck Singapore Pte. Ltd, Singapore
Yingqi Zhao
Fred Hutchinson Cancer Research Center, USA

Generalizing treatment strategies from randomized trials to target populations

(PDF)

Yudong Zhao
Lundbeck Singapore Pte. Ltd, Singapore
Tian Zheng
Columbia University, USA

Interaction-based predictive learning for the genetic etiology of complex diseases

(PDF)

Wei Zheng
Comprehend Information and Technology Ltd, China

Bayesian additive decision trees of biomarker-by treatment interactions for predictive biomarkers detection and subgroup identification

(PDF)

Zhibin Zhu
National University of Singapore, Singapore