Providing software solutions since 1976
Training & Books
Richard is an active member of the Biopharmaceutical Section of the American Statistical Association, the Drug Information Association, and Statisticians in the Pharmaceutical Industry. He is currently the Statistics Section Editor for Therapeutic Innovation & Regulatory Science (formerly Drug Information Journal). He is a frequent speaker at workshops and scientific meetings and has lectured for courses in statistics and clinical trials. His research interests include the analysis of pre- and post-market adverse events, subgroup identification for patients with enhanced treatment response, and risk-based monitoring and fraud detection in clinical trials.
Richard holds a Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill and has more than 20 years of SAS programming experience. This is his first book.
Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods, edited by Sandeep Menon, Ph.D., MPH, and Richard C. Zink, Ph.D., describes design and analysis methods and provides real-world examples and sample SAS code; taken together, these enable users to readily apply clinical trial design methodologies in practice. Clinical Trials Using SAS is unique and multifaceted, covering several domains of clinical trial design, including classical, group sequential, adaptive, and Bayesian methods applicable to and widely used in various phases of pharmaceutical development. Topics covered include, but are not limited to, dose-response and dose-escalation designs; sequential methods to stop trials early for overwhelming efficacy, safety, or futility; Bayesian designs that incorporate historical data; adaptive sample size re-estimation; adaptive randomization to allocate subjects to more effective treatments; and population enrichment designs. Methods are illustrated using clinical trials from diverse therapeutic areas, including dermatology, endocrinology, infectious disease, neurology, oncology, and rheumatology. Individual chapters are authored by renowned contributors from the pharmaceutical industry or academia.
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