Exploration of the variation of treatment effect over time in randomized clinical trials with low event rates is limited by lack of power. A meta-analysis on individual patient data from such trials can partly solve the problem, but brings other computational difficulties. Using an example in hypert
β¦ LIBER β¦
56A Comparison of time-to-event and slope-based analyses in nephrology clinical trials
β Scribed by Tom Greene; Gerald J. Beck; Jennifer J. Gassman; Michael H. Kutner; Lata Paranandi; Shin-Ru Wang
- Book ID
- 113298248
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 68 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0197-2456
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The principal response criteria for many clinical trials involve time-to-event variables. Usual methods of analysis for this type of response criterion include product-limit estimators of cumulative survival for the treatment groups, (stratified) logrank tests to compare treatments, and proportional