Program

Program (final)

 

Short Course November 10, 2016

  1. Kert Viele, Berry Consultants, Prior Elicitation and Dynamic Historical Data Borrowing (9:00am – 12:00pm, Salon A-C)
  2. Lei Shen, Eli Lilly and Company, Subgroup Identification for Precision (1:30 – 4:30pm, Salon A-C)

 

Main Program  November 11, 2016

  8:00  –  9:00 am Registration (Salon D Foyer) and Breakfast (Salon D)
  9:00  –  9:15 am
Opening Remarks (Salon D)

Yijie Zhou (AbbVie), Lanju Zhang (AbbVie)

  9:15– 9:45 am Keynote Address (Salon D)

Strong Technical Skills Are Necessary But Not Sufficient to Being an Effective Industry Statistician

Kevin Chartier (Astellas)

  9:45– 10:15 am Keynote Address (Salon D)

Statistical Innovations and Leadership for the Future of Pharmaceutical Industry

Ivan Chan (AbbVie Inc)

10:15–10:30 am Break/Networking (Salon D)
10:30 –11:45 am Parallel Session 1: Adaptive designs and sample size re-estimation (Salon D)

Organizer and Chair: Alan Chiang (Eli Lilly and Company)

·         Multi-staged designs in early phase oncology, Yong Lin (Eli Lilly and Company)

·         Optimal Flexible Sample Size Designs with Robust Power, Lu Cui (AbbVie Inc)

·         Adaptive designs in psychiatric trials, Wei Zhong (Takeda)

Parallel Session 2: Statistical Genetics and Bioinformatics (Salon A/B)

Organizer: Sihai Dave Zhao (University  of Illinois at Urbana-Champaign)

Chair: Sijian Wang (University of WisconsinMadison)

·         Statistical methods for microbiome compositional data analysis, Hongmei Jiang (Northwestern University)

·         Differential Expression Analysis for RNAseq using Poisson Mixed Models, Xiang Zhou (University  of Michigan)

·         Identifying and removing the cellcycle effect from single-cell RNASequencing data, Jun Li (University of Notre Dame)

11:45 – 1:00 pm Lunch (Kings Wharf)
12:20 – 1:00 pm Poster Session (Salon D)
12:00 – 1:00 pm Career opportunities for students (Ivan Chan, Vice President, Abbvie ; Charlie Cao, Sr Director, Takeda; Kevin Chartier, Executive Director, Astellas) (Salon D)
  1:30 – 2:45 pm Parallel Session 3: Statistical Methodology in Early Phase Clinical Trials (Salon D)

Organizer: Xuan Liu (Abbvie Inc)

Chair: Jun Zhao(Abbvie Inc)

·         Exploratory identification of biomarker signatures for patient subgroup selection in clinical drug development, Yan Sun (Abbvie Inc)

·         Detect and identify biomarker response in early clinical studies, Danni Yu (Eli Lilly and Company)

·         Incorporating historical data in Bayesian phase I trial design, Kentaro Takeda (Astellas)

Parallel Session 4: Statistical Methods for the Analysis of Complicated Data (Salon A/B)

Organizer: Lingsong Zhang (Purdue University)

Chair: Jun Li (University of Notre Dame)

·         Model Transfer via Equivalent Effects of Lurking Variables, Arman Sabbaghi (Purdue University)

·         Advanced statistical tests for large-scale inference with applications in genome-wide association studies, Jun Xie (Purdue University)

·         Nonparametric Inference with Misclassified Competing Risk Data, Giorgos Bakoyannis (Indiana University–Purdue University Indianapolis)

  2:45 –  3:00 pm Break/Networking
  3:00 – 4:15 pm Parallel Session 5: Statistical Challenges in Late Phase Clinical Trials: Multiplicity Issues and Quantitative Decision Making (Salon D)

Organizer: Lei Shu (Astellas)

Chair: Wei Li (Astellas)

·         Decision making using Predictive Probability, Mike Smith (Astellas)

·         On the choice of intersection test in seamless phase II/III, Greg Cicconetti (AbbVie Inc)

·         Implementation of graphical approach in Ph3 diabetes studies, Rong  Liu (Eli Lilly and Company)_

Parallel Session 6: High dimensional analysis and Statistical Machine Learning (Salon A/B)

Organizer: Yunzhang Zhu (Ohio State University)

Chair: Lingsong Zhang (Purdue University)

·         Individualized Subgroup Variable Selection, Xiwei Tang (University  of Illinois at Urbana-Champaign)

·         Estimating Network Memberships by Simplex Vertices Hunting, Tracy Zheng Ke (The University of Chicago)

·         Sparse additive index model for survival prediction with genomic data, Sijian Wang (University of WisconsinMadison)

  4:20 –4:45 pm Student Awards and Closing Remarks

Alan Rong (Astellas), Lei Liu (Northwestern U), Lanju Zhang (Abbvie Inc) (Salon D)