Methods and Applications of Statistics in Clinical Trials: Volume 2 - Planning, Analysis, and Inferential Methods

An essential guide to planning the next steps in clinical trial design, management, and data analysis

The second volume in a comprehensive two-part set, Methods and Applications of Statistics in Clinical Trials, Volume 2: Planning, Analysis, and Inferential Methods provides the next steps of planning, analyzing, and managing clinical data. After Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs establishes the key principles behind clinical trials, the second volume concentrates on methods of planning, designing, data analysis, and statistical inference in clinical trials.

Methods and Applications of Statistics in Clinical Trials, Volume 2: Planning, Analysis, and Inferential Methods includes updates of established literature from the Wiley Encyclopedia of Clinical Trials as well as original material based on the latest developments in clinical trials. Prepared by a leading expert, the second volume includes numerous contributions from current prominent experts in the field of medical research. In addition, the volume features:

• Multiple new articles exploring emerging topics, such as evaluation methods with threshold, empirical likelihood methods, nonparametric ROC analysis, over- and under-dispersed models, and multi-armed bandit problems
• Up-to-date research on the Cox proportional hazard model, frailty models, trial reports, intrarater reliability, conditional power, and the kappa index
• Key qualitative issues including cost-effectiveness analysis, publication bias, and regulatory issues, which are crucial to the planning and data management of clinical trials

Methods and Applications of Statistics in Clinical Trials, Volume 2: Planning, Analysis, and Inferential Methods is an excellent reference for researchers, practitioners, and students in the fields of clinical trials, pharmaceutics, biostatistics, medical research design, biology, biomedicine, epidemiology, and public health.