Clinical Trials with Missing Data A Guide for Practitioners
How to plan and execute a successful approach to missing data in most clinical trials.
Missing data occur in nearly all clinical trials. In order to maintain the credibility of results, it is vital that measures to minimize the amount of missing data are carried out and that appropriate analysis techniques are identified and implemented correctly. The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team can work to prevent missing data and present the reader with approaches to address missing data effectively.
Clinical Trials with Missing Data provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organizations. Academics and students needing an introduction to handling missing data will also find this book invaluable.