In partnership with the Biostatistics Department of Indiana University School of Medicine, we are pleased to announce that the 2018 MBSW will be held from May 14-16, 2018 at University Tower and Hine Hall, Indiana University-Purdue University Indianapolis (IUPUI) , 875 W North Street, Indianapolis, IN 46202.
The theme of this year’s workshop is “The Great Adventure of Biopharmaceutical Statistics“.
Registration is open (fees go up after May 1, 2018.) We look forward to seeing you in Indianapolis!
We proudly present two Plenary Speakers on Monday, May 14, 2018:
1. “Doctor, It Hurts When I p” – Dr. Ron Wasserstein, American Statistical Association
2. “Moving from a Sea of p to Quantitative Influence and Leadership” – Dr. Kevin Chartier, Astellas
In addition, we are excited to announce the Banquet Speaker on Tuesday, May 15, 2018:
“BigDataTruth.com – Virtual Insight Within Artificially Intelligent Augmented Reality” – Dr. Greg Enas, Innovatov
1. Applied Bayesian Statistics in Drug Development, Bruno Boulanger, Arlenda.
Abstract: Over the last 15 years we have observed a growing use and application of Bayesian statistics in Biopharmaceutical research, development, manufacturing and sales. Whilst Bayesian statistics got mainly recognized in the industry through the concept of adaptive and innovative clinical trials, thanks to the availability of power computer and programming languages, Bayesian statistics are now more and more used in all areas from discovery to manufacturing and health economics for decision making.
The objective of this short course will be to introduce progressively the concepts common in Bayesian statistics, such as prior, posterior and predictive distributions through a wide variety of examples covering all the range of activities. In addition programming solutions in SAS Proc MCMC or STAN will be shown for each example to exemplify the ease and power of such languages.
In the light of the recent reproducibility crisis and questions raised about the unreasonable use of p-values, we also highlight the fact that the proper use of priors, posteriors and predictive distributions for modeling are way more relevant for the type of reality, constraints and decision making that is needed in biopharmaceutical industry. We will also show that it opens new opportunities for the patients, such as in orphan disease or quality of product.
Required: Basic SAS or STAN programming skills.
2. Clinical Graphs Using SAS, Sanjay Matange, SAS Institute Inc.
Abstract: Graphs used in the Health and Life Sciences domain and Clinical Research have special requirements for display of data in a clear and concise manner including raw data and derived statistics. Data needs to be displayed by treatment, visit and other classifiers along with related information such as Subjects at Risk aligned with the horizontal or vertical axis.
This presentation will introduce you to the key concepts of the SGPLOT and SGPANEL procedures including the layering of plot statements to create the clinical graph. We will review the process and features by creating graphs commonly used in the Pharmaceutical industry. These include Mean Change in QTc by Visit, Distribution of ASAT by Time and Treatment, Survival Plot, Forest Plots, Adverse Event Timeline, Waterfall Chart for Change in Tumor Size, Distribution of Maximum LFT Values by Treatment, Swimmer Plot, Panel of LFT Shifts by Treatment and Immunology Profile.
Audience: Graph programmers
Required: Basic SAS programming skills.
We proudly to present two Plenary Speakers on Monday, May 22:
1. “Open Access and Data Sharing: Where are we on the Clinical Data Disclosure and Transparency Journey?” —Frank Rockhold, Duke University
2. “Biostatisticians and 21st Century Drug Development: Staying Relevant and Looking Forward” —Steve Wilson, FDA
An Introduction to Artificial Intelligence, Machine Learning and Precision Medicine.?Haoda Fu, Eli Lilly & Company
Missing Data in Clinical Trials.?Roderick Little, University of Michigan
MBSW 2017 will be held at Ball State University (Muncie, IN) on May 22-24. Join us in celebrating the 40th Anniversary of MBSW!
Thank you to all the students who presented a poster at this year’s MBSW. A special congratulations to Ran Liao, Indiana University, for winning Best Poster with “Frailty Based Semiparametric Models for Semi-competing Risk Data.”