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
Modelling Survival Data to Examine Length of Treatment Effectiveness in a Clinical Trial
β Scribed by Prof. Donald J. Slymen
- Publisher
- John Wiley and Sons
- Year
- 1988
- Tongue
- English
- Weight
- 592 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
In some clinical trials where the experimental treatment is found to beeffective in increasing survival, an important question is how long should the patient remain under treatment. Although the trial may not be designed to specifically answer this question, comparisons of the hazard curves among the treatment groups can yield some useful information. The survival data may be modelled using a flexible set of hazard functions and speoific models are then chosen for further examination. This paper illustrates the approach using data from the Beta-Blocker Heart Attack Trial. Parametric and semi-parametric models are fitted and likelihood methods are used to asseas length of treatment effectiveness.
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