Quality assurance for interventions in clinical trials: Multicenter data monitoring, data management, and analysis
โ Scribed by Brad H. Pollock
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 606 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0008-543X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
We summarize issues that arise when considering quality of life (QOL) data in cancer clinical trials, especially those related to missing data. We describe different types of missing data mechanisms, and discuss ways of assessing and testing missing data mechanisms. A section on presentation of stud
Assessment of quality of life is becoming standard in clinical trials. A popular method for measuring quality of life is with instruments which utilize multiple-item subscales, in which each item is scored on a Likert scale. Most statistical methods for the analysis of quality of life data in clinic
Quality of life data present considerable statistical challenges because of their longitudinal and multi- dimensional nature, and also because the available data are often very unbalanced through missing values. Here we exemplify the potential of multi-level models, that is, hierarchical random coe
This paper considers five methods of analysis of longitudinal assessment of health related quality of life (QOL) in two clinical trials of cancer therapy. The primary difference in the two trials is the proportion of participants who experience disease progression or death during the period of QOL a