Testing for qualitative interactions between treatment effects and patient subsets.
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Summary
A likelihood ratio test is developed to test for qualitative interactions and a non-crossover interaction arises when there is variation in the magnitude, but not in the direction, of treatment effects among subsets.
- Type
- article
- Published
- 1985-06-01
- Cited by
- 656
- References
- 15
- OpenAlex
- https://openalex.org/W1988985184
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:38459826
Keywords
Crossover, Crossover study, Statistics, Treatment effect, Medicine
References
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- Quadratic programming for nonlinear regression
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- Regression Models and Life-Tables
- Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II. analysis and examples.
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- Discussion on “Surrogate Measures and Consistent Surrogates”
- Some methods for heterogeneous treatment effect estimation in high dimensions
- Breeding gains diversity analysis and inheritance studies on soybean (Glycine max (L.) Merrill) germplasm in Zimbabwe.
- Testing Treatment Effects in Two-Way Linear Models: Additive or Full Model?
- The influence of centre selection on the generalisability of economic evaluations conducted alongside randomised controlled trials : a case study from the Rossini trial
- Statistical Methods for Evaluating and Comparing Biomarkers for Patient Treatment Selection
- Study of the effectiveness of additional reductions in cholesterol and homocysteine (SEARCH): characteristics of a randomized trial among 12064 myocardial infarction survivors.
- Validity of regression meta-analyses versus pooled analyses of mixed effect linear models
- Statistical methods for early breast cancer trials.
- Integrating hydrology and land use to understand the ecology of floodplain wetlands in the Condamine Catchment, southern Queensland, Australia
- Corticosteroid treatment and intensive insulin therapy for septic shock in adults: a randomized controlled trial.
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