Posted on: September 25, 2019
Thank you for your interest in the The 75th Annual Deming Conference on Applied Statistics.
The featured titles below, on which these sessions are based, are available for sale at a 40% discount.
Click here to get free chapter sample downloads
Clinical Trial Biostatistics and Biopharmaceutical Applications
Walter R. Young, Ding-Geng (Din) Chen
Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession. In Clinical Trial Biostatistics and Biopharmaceutical Applications, prominent speakers from past Deming conferences present novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications from the pharmaceutical industry.
Download Chapter 14 "Graphical Approaches to Multiple Testing"
Statistical Topics in Health Economics and Outcomes Research
Demissie Alemayehu, PhD, Joseph C. Cappelleri, PhD, Birol Emir, PhD, Kelly H. Zou, PhD, Pstat
While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues.
Clinical Trial Data Analysis Using R and SAS
Ding-Geng (Din) Chen, Karl E. Peace, Pinggao Zhang
Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data.
Download Chapter 6 "Longitudinal Data Analysis for Clinical Trials"
Medical Product Safety Evaluation: Biological Models and Statistical Methods
Jie Chen, Joseph Heyse, Tze Leung Lai
Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples.
Download Chapter 2 "Biological Models and Associated Statistical Methods"