1 option
Mixed model approach for intent-to-treat analysis in longitudinal clinical trials with missing values / Hrishikesh Chakraborty and Hong Gu.
- Format:
- Book
- Author/Creator:
- Chakraborty, Hrishikesh, author.
- Gu, Hong, author.
- Series:
- RTI Press methods report.
- RTI Press methods report
- Language:
- English
- Subjects (All):
- Clinical trials--Longitudinal studies.
- Clinical trials.
- Medical sciences--Statistical methods.
- Medical sciences.
- Physical Description:
- 1 online resource.
- Place of Publication:
- Research Triangle Park, NC : RTI Press, 2009.
- Summary:
- Missing values and dropouts are common issues in longitudinal studies in all areas of medicine and public health. Intent-to-treat (ITT) analysis has become a widely accepted method for the analysis of controlled clinical trials. We performed a detailed investigation based on simulation studies to develop recommendations for this situation. We compared sizes (type I errors) and power between some popular ad hoc approaches and the linear mixed model approach under different missing value scenarios. Our results suggest that, for studies with a high percentage of missing values, the mixed model approach without any ad hoc imputation is more powerful than other options.
- Notes:
- Description based on publisher supplied metadata and other sources.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.