December 5-9, 2016 at Atlantic City, New Jersey
The 72nd Deming Conference on Applied Statistics
Sponsored by Metropolitan Section, ASQ and Biopharmaceutical Section, ASA
2016 Program

Program Tutorial Sessions Short Courses Poster Session
Student Award Book Sale Download Program Abstract Submission
ASA Biopharmaceutical Section
and Deming Scholar Award
Biopharm-Deming Scholar Award
Application Form
Download Presentation Slides

The purpose of the 3-day Deming Conference on Applied Statistics is to provide a learning experience on recent developments in statistical methodologies. The conference is composed of 12 3-hour tutorials on current statistical topics of interest based on recently published texts. The conference is followed by two 2-day parallel short courses. The conference sells these books at a 40% discount. Poster submissions are also solicited.

Poster Session

The Annual Deming Conference on Applied Statistics will accept submission of abstracts for poster presentation during the conference. The poster sessions provide a forum to attendees to present concepts and issues of relevance to their peers. The rules and tips of the poster presentations can be found by clicking the button below.

or click here to download the pdf file.

Program Summary

The 72nd Deming Conference will be held on December 5-9, 2016 at Atlantic City, NJ. There will be two parallel half-day tutorial sessions based on recently published books for the first three days for a total of 12 tutorial sessions (December 5, 6, 7). Then the conference will continue with two 2-day short courses on December 8 and December 9. The books used for the tutorial sessions and for the short courses as well as books written by invited speakers will be sold at an appreciable discounted prices. The authors of the books are invited as the speakers. Poster sessions will also be presented. Below is a draft program (the tutorial times and dates may be changed. The abstracts and bios will be added soon.):

  Morning Session (8:30 AM – 11:30 AM) Afternoon Session (1:00 PM – 4:00 PM)

Dec. 5, 2016

A. Data display for statistical analysis*

Prof. Richard M. Heiberger, Department of Statistics, Temple University

C. Overview of statistical and design considerations in personalized medicine*

Dr. Sandeep Menon, Pfizer Inc
Dr. Richard Zink, JMP Life Sciences, SAS Institute

B. Non-inferiority testing in clinical trials: issues and challenges*

Dr. Tie-Hua Ng, FDA

D. Benefit-risk assessment methods in medical product development: bridging qualitative and quantitative assessments*

Dr. Qi Jiang, Amgen
Dr. Weili He, Merck & Co., Inc


Dec. 6, 2016

E. Biomarker evaluation and subgroup discovery in clinical trials*

Dr. Alex Dmitrienko, Mediana Inc
Dr. Ilya Lipkovich, Quintiles

G. Quantitative sciences for safety monitoring in clinical development

Dr. Bill Wang, Merck & Co., Inc

F. Basic multiple comparisons in clinical trials and genomics

Dr. Bushi Wang, Ingelheim Pharmaceuticals
Prof. Cui, Professor and the Chair of the Department of Statistics, University of California, Riverside

H. Improving our understanding of “less well-understood” adaptive trials: challenges, best practices and sharing of case studies

Dr. Weili He, Merck & Co., Inc.
Dr. Eva Miller, inVentiv Health


Dec. 7, 2016

I. Simulation-based approaches to clinical trial design and analysis

Dr. Alex Dmitrienko, Quintile

K. Regulatory statistics with some European perspectives

Prof. Martin Posch, Medical Statistics, Medical University of Vienna
Prof. Franz Konig, Medical Statistics, Medical University of Vienna
Dr. Frank Bretz, Global Head of Statistical Methodology Group,Novartis

J. Statistical considerations for drug development in China: recent development and future directions

Prof. Naiqing Zhao, Fudan University, China
Dr. Jie Chen, Novartis

L. Quantitative methods for traditional chinese medicine development*

Prof. Shein-Chung Chow, School of Medicine, Duke University, Durham, North Carolina, USA

Short Course

Dec. 8 – 9, 2016

Short Course 1: Adaptive designs and multiple testing*

Prof. Martin Posch, Medical Statistics, Medical University of Vienna
Prof. Franz Konig, Medical Statistics, Medical University of Vienna
Dr. Frank Bretz, Global Head of Statistical Methodology Group, Novartis

Short Course 2: Bioequivalence, Biosimilars, & Statistics in Clinical Pharmacology*

Dr. Scott Patterson, Pfizer Inc
Dr. Byron Jones, Novartis
Dr. Johanna Mielke, Novartis