Medical Statistics & Computing

This book addresses statistical challenges posed by inaccurately measuring explanatory variables, a common problem in biostatistics and epidemiology. The author explores both measurement error in continuous variables and misclassification in categorical variables. He also describes the circumstances..

This book provides a unified Bayesian approach to handle missing data in longitudinal studies. It contains examples and case studies on schizophrenia, aging, HIV, and smoking cessation. The authors describe assumptions that include MAR and ignorability, demonstrate the importance of covariance model..

This book provides wide-ranging coverage of parametric modeling in linear and nonlinear mixed effects models. It presents a rigorous approach for describing, implementing, and using mixed effects models. With these models, readers can perform parameter estimation and modeling across a whole populati..

This book aids in identifying when to apply adaptive randomization designs in practice. Featuring contributions from statisticians, clinical trialists, and subject-matter experts in academia and industry, the text discusses restricted, covariate-adaptive, response-adaptive, and covariate-adjusted re..

This book presents a comprehensive overview on the current status of conducting MRCTs in clinical development. It first provides a high-level introduction to the context, motivation, opportunities, and challenges in simultaneous global clinical development using MRCTs. It then focuses on the design,..

Advancing the development, validation, and use of PRO measures, this book helps readers develop and enrich their understanding of PRO methodology, particularly from a quantitative perspective. Designed for biopharmaceutical researchers and others in the health sciences community, it provides an up-t..

Advancing the development, validation, and use of PRO measures, this book helps readers develop and enrich their understanding of PRO methodology, particularly from a quantitative perspective. Designed for biopharmaceutical researchers and others in the health sciences community, it provides an up-t..

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. This text presents the fundamental concepts and important aspects of regression models most commonly used in medical re..

Six Sigma in the Pharmaceutical Industry is the first book to introduce the fundamentals of Six Sigma, examine control chart theory and practice, and explain the concept of variation management and reduction applied specifically to the pharmaceutical industry. The first half lays out a conceptual fr..

Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the wor..

This book explains how to apply non-statistical and statistical techniques to the optimization of biological systems. Employing real-life bioprocess optimization problems and their solutions as examples, the text describes experimental design from identifying process variables to selecting a screeni..

Statistical Topics in Health Economics and Outcomes Research fulfils the need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective, by presenting an overview of the key analytical issues and best practice...