𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Statistical analysis of quality of life with missing data in cancer clinical trials

✍ Scribed by Andrea B. Troxel; Diane L. Fairclough; Desmond Curran; Elizabeth A. Hahn

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
255 KB
Volume
17
Category
Article
ISSN
0277-6715

No coin nor oath required. For personal study only.

✦ Synopsis

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 study design and results describes how graphical displays can effectively document the extent of the missing data problem, as well as describe its impact on interpretation of results. Finally, we describe several different statistical methods used to analyse repeated measures, with an emphasis on their properties and their ability to adequately handle different types of missing data mechanisms. We make recommendations as to the most appropriate methods, and suggest important directions for future research.

πŸ“œ SIMILAR VOLUMES

Missing quality of life data in cancer c
Missing quality of life data in cancer clinical trials: serious problems and challenges
✍ JΓΌrg Bernhard; David F. Cella; Alan S. Coates; Lesley Fallowfield; Patricia A. G πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 173 KB πŸ‘ 2 views

Measurement of quality of life (QOL) in cancer clinical trials has increased in recent years as more groups realize the importance of such endpoints. A key problem has been missing data. Some QOL data may unavoidably be missing, as for example when patients are too ill to complete forms. Other impor

Why are missing quality of life data a p
Why are missing quality of life data a problem in clinical trials of cancer therapy?
✍ Diane L. Fairclough; Harriet F. Peterson; Victor Chang πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 116 KB πŸ‘ 2 views

Assessment of health related quality of life has become an important endpoint in many cancer clinical trials. Because the participants of these trials often experience disease and treatment related morbidity and mortality, non-random missing assessments are inevitable. Examples are presented from se

Incomplete quality of life data in rando
Incomplete quality of life data in randomized trials: missing items
✍ Peter M. Fayers; Desmond Curran; David Machin πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 258 KB πŸ‘ 1 views

Missing data has been a problem in many quality of life studies. This paper focuses upon the issues involved in handling forms which contain one or more missing items, and reviews the alternative procedures. One of the most widely practised approaches is imputation using the mean of all observed ite

Incomplete quality of life data in rando
Incomplete quality of life data in randomized trials: missing forms
✍ D. Curran; G. Molenberghs; P. M. Fayers; D. Machin πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 217 KB πŸ‘ 1 views

Analysing quality of life (QOL) data may be complicated for several reasons, such as: repeated measures are obtained; data may be collected on ordered categorical responses; the instrument may have multidimensional scales, and complete data may not be available for all patients. In addition, it may

SUMMARY MEASURES AND STATISTICS FOR COMP
SUMMARY MEASURES AND STATISTICS FOR COMPARISON OF QUALITY OF LIFE IN A CLINICAL TRIAL OF CANCER THERAPY
✍ DIANE L. FAIRCLOUGH πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 457 KB πŸ‘ 1 views

Assessment of health related quality of life (QOL) has become an important endpoint in many clinical trials of cancer therapy. Most of these studies entail multiple QOL scales that are assessed repeatedly over time. As a result, the problem of multiple comparisons is a primary analytic challenge wit