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Zusatztext "This book provides different perspectives for revisiting drug development in both therapeutic areas. Statisticians involved in early phase clinical trials, whether in academia or in industry, may get benefit from this book. They will find descriptions of some innovative methods that will be helpful in designing dose-finding trials." ~Xavier Paoletti, Biometric Journal Informationen zum Autor O'Quigley, John; Iasonos, Alexia; Bornkamp, Björn Klappentext This handbook will provide an overview of most up-to-date statistical methods required for design, monitoring and analysis for dose finding clinical trials, focusing both on the clinical aspects as well as statistical considerations. This handbook will not cover statistical methods for Phase II non-dose finding studies or Phase III clinical trials. Zusammenfassung This handbook will provide an overview of most up-to-date statistical methods required for design, monitoring and analysis for dose finding clinical trials, focusing both on the clinical aspects as well as statistical considerations. This handbook will not cover statistical methods for Phase II non-dose finding studies or Phase III clinical trials. Inhaltsverzeichnis Part I. Introduction to the objectives of Phase I studies and endpoints. Overview of Phase I designs. Model based designs when safety is the primary aim. Using non binary endpoints. Dose expansion cohorts. Part II . Safety and Efficacy: bivariate endpoints. Combination studies. Studies with multiple schedules. Studies in the presence of patient heterogeneity. Pediatrics. Parameterization: model complexity and optimal designs. Part III. Dose-Finding Trials in Phase II-Overview and Objectives. Analysis of Confirmatory Dose-Finding Studies. Design of dose-finding trials: Doses, allocation weights and sample size. The MCP-Mod methodology: Practical Considerations and the DoseFinding R package. Two-stage designs for dose-finding studies. Longitudinal approaches for dose-response modelling. Regulatory Viewpoint on Dose-Finding Studies. Part IV. Introduction to Pharmacometrics: Exposure Response Modeling. Pharmacokinetic Data Structure. Pharmacokinetic Compartment Modeling. Approximate Likelihood Approaches for Pharmacometrics. Population Pharmacokinetics. Pharmacodynamic Models Bayesian Approaches for Pharmacometric Modeling. Pharmacometrics Modeling Examples. ...
