This paper addresses treatment effect heterogeneity (also referred to, more compactly, as 'treatment heterogeneity') in the context of a controlled clinical trial with binary endpoints. Treatment heterogeneity, variation in the true (causal) individual treatment effects, is explored using the concep
Assessing heterogeneity of treatment effect in a clinical trial with the proportional interactions model
β Scribed by Kovalchik, Stephanie A.; Varadhan, Ravi; Weiss, Carlos O.
- Book ID
- 121841873
- Publisher
- John Wiley and Sons
- Year
- 2013
- Tongue
- English
- Weight
- 566 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0277-6715
- DOI
- 10.1002/sim.5881
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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
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 th