Craig Mallinckrodt

Preventing and Treating Missing Data in Longitudinal Clinical Trials

• Gebundenes Buch

Produktbeschreibung

Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 184
• Erscheinungstermin: 14. März 2013
• Englisch
• Abmessung: 250mm x 175mm x 15mm
• Gewicht: 509g
• ISBN-13: 9781107031388
• ISBN-10: 1107031389
• Artikelnr.: 36958041

Autorenporträt

Craig H. Mallinckrodt is Research Fellow in the Decision Sciences and Strategy Group at Eli Lilly and Company. Dr Mallinckrodt has supported drug development in all four clinical phases and in several therapeutic areas. He currently leads Lilly's Advanced Analytics hub for missing data and their Placebo Response Task Force, and is a member of a number of other scientific work groups. He has authored more than 170 papers, book chapters and texts, including extensive works on missing data and longitudinal data analysis in journals such as Statistics in Medicine, Pharmaceutical Statistics, the Journal of Biopharmaceutical Statistics, the Journal of Psychiatric Research, the Archives of General Psychiatry, and Nature. He currently chairs the Drug Information Association's Scientific Working Group on Missing Data.

Inhaltsangabe

Part I. Background and Setting: 1. Why missing data matter
2. Missing data mechanisms
3. Estimands
Part II. Preventing Missing Data: 4. Trial design considerations
5. Trial conduct considerations
Part III. Analytic Considerations: 6. Methods of estimation
7. Models and modeling considerations
8. Methods of dealing with missing data
Part IV. Analyses and the Analytic Road Map: 9. Analyses of incomplete data
10. MNAR analyses
11. Choosing primary estimands and analyses
12. The analytic road map
13. Analyzing incomplete categorical data
14. Example
15. Putting principles into practice.