Clinical Trials with Missing Data: A Guide for Practitioners (Statistics in Practice)
| Author | : | |
| Rating | : | 4.36 (638 Votes) |
| Asin | : | 1118460707 |
| Format Type | : | paperback |
| Number of Pages | : | 472 Pages |
| Publish Date | : | 2016-01-26 |
| Language | : | English |
DESCRIPTION:
Many SAS code examples are included – the reader is given a toolbox for implementing analyses under a variety of assumptions.. The book is illustrated throughout with realistic case studies and worked examples, and presents clear and concise guidelines to enable good planning for missing data. This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluable. The authors show how to handle missing data in a way that is transparent and easy to understand for clinicians, regulators and patients. New developments are presented to improve the choice and implementation of primary and sensitivity analyses for missing data. 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
“In summary, the book is a must-have tool for any biostatistician dealing with missing data. It successfully bridges the gap between clinicians and statisticians using relatively common language to build common ground.” (Doody’s, 9 January 2015). It is an excellent reference book for postgraduate students or researchers working in the area of missing data.” (Biometrical Journal, 1 June 2015)“This is an excellent addition to the field, dealing with problems arising from missing data or unobserved data in clinical trials
. MICHAEL O’KELLY, Senior Strategic Biostatistics Director, Quintiles Ireland Ltd, Ireland.BOHDANA RATITCH, Senior Biostatistician, Quintiles, Montreal, Canada