Missing data in randomised clinical trials

Kenward MG, et al.
Record ID 32010000448
English
Authors' objectives: Missing data are ubiquitous in clinical trials, yet recent research suggests many statisticians and investigators appear uncertain how to handle them. The objective of this monograph is to set out a principled approach for handling missing data in clinical trials, and provide examples and code to facilitate its adoption.
Authors' recommendations: From the design stage onwards, a principled approach to handling missing data should be adopted. Such an approach follows well-defined and accepted statistical arguments,using models and assumptions that are transparent, and hence open to criticism and debate. This monograph outlines how this principled approach can be practically, and directly, applied to the majority of trials with longitudinal follow-up.
Details
Project Status: Completed
URL for project: https://www.journalslibrary.nihr.ac.uk/programmes/hta/069024/#/
Year Published: 2005
URL for published report: https://www.journalslibrary.nihr.ac.uk/programmes/hta/069024/#/related-articles
Requestor: NIHR Health Technology Assessment programme
English language abstract: An English language summary is available
Publication Type: Full HTA
Country: England, United Kingdom
MeSH Terms
  • Clinical Trials as Topic
  • Data Interpretation, Statistical
  • Reproducibility of Results
  • Bias
  • Research Design
  • Data Collection
Contact
Organisation Name: NIHR Health Technology Assessment programme
Contact Address: NIHR Journals Library, National Institute for Health and Care Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK
Contact Name: journals.library@nihr.ac.uk
Contact Email: journals.library@nihr.ac.uk
Copyright: Queen's Printer and Controller of HMSO
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.