Associate Director of Statistics, Duke Clinical Research Institute
Jack Shostak, Associate Director of Statistics, manages a group of statistical programmers at the Duke Clinical Research Institute. A SAS user since 1985, he is the author of SAS Programming in the Pharmaceutical Industry, and coauthor of Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, as well as Implementing CDISC Using SAS: An End-to-End Guide. Shostak has published papers for the Pharmaceutical SAS Users Group (PharmaSUG) and the NorthEast SAS Users Group (NESUG), and he contributed a chapter, "Reporting and SAS Tool Selection," in the book Reporting from the Field. He is active in the Clinical Data Interchange Standards Consortium (CDISC) community, contributing to the development of Analysis Data Model (ADaM), and he serves as an ADaM trainer for CDISC. Shostak received an MBA from James Madison University and a BS in statistics from Virginia Polytechnic Institute and State University.
By This Author
Implementing CDISC Using SAS®: An End-to-End Guide, Revised Second Edition
Comprehensive guide on applying clinical research data and metadata to the CDISC standards. This edition reflects the 2017 FDA mandate for adherence to CDISC standards. Revised to add the latest C-Codes as well as update the make_define macro that accompanies this book in order to add the capability to handle C-Codes.
SAS® Programming in the Pharmaceutical Industry, Second Edition
By Jack Shostak
Discover tools available within Base SAS (including the macro language and PROC SQL), SAS/GRAPH, and SAS/STAT that can be used to resolve common issues in working with clinical trial data. Addresses importing and massaging data into analysis data sets, producing clinical trial output, and exporting data.
Common Statistical Methods for Clinical Research with SAS® Examples, Third Edition
This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data.
2014-2015 Society for Technical Communication:
Award of Excellence: SAS® Programming in the Pharmaceutical Industry, Second Edition