2018 Short Course

Clinical Graphs Using SAS Sanjay Matange, SAS Institute Inc.

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.

2017 Plenary Speakers Announced

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

2016 Midwest Biopharmaceutical Statistics Workshop

The 39th annual Midwest Biopharmaceutical Statistics Workshop (MBSW)


2016 Draft Program

Founders and Chairmen Emeritus: Charles B Sampson, Eli Lilly (retired), and Mir Masoom Ali, Ball State University

Workshop Chair: Ray Liu (Takeda)

Theme: The power and 3 I’s of Statistics : Innovation, Integrity and Impact

1st Plenary: Challenge. Change. Engage: Three Secret Formulae for Driving an Impactful Innovation (Dr. Frank Shen, Abbvie)

2nd Plenary: Significance Tests and Confidence Interval Approaches – Where Is the Duality (Dr. Yi Tsong, FDA)

Banquet Speaker: Accelerating Analytics With External Data (Dr. Charles Schick, Atigeo)

Short Course #1: An Introduction to Shiny, R Markdown, and HTML Widgets for R with Application in Drug Development (Phil Bowsher, RStudio)

Short Course #2: Graphical Approaches to Multiple Testing (Dong Xi, Novartis)

Special presentation on Wednesday morning: Leadership of Statisticians and programmers in the Future of Big Data and Computing (Pandu Kulkarni, Lilly)

Registration is Open!