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- Title
Assessing heterogeneity of treatment effect in multiple sclerosis trials.
- Authors
Sormani, Maria Pia; Chataway, Jeremy; Kent, David M; Marrie, Ruth Ann
- Abstract
Multiple sclerosis (MS) is heterogeneous with respect to outcomes, and evaluating possible heterogeneity of treatment effect (HTE) is of high interest. HTE is non-random variation in the magnitude of a treatment effect on a clinical outcome across levels of a covariate (i.e. a patient attribute or set of attributes). Multiple statistical techniques can evaluate HTE. The simplest but most bias-prone is conventional one variable-at-a-time subgroup analysis. Recently, multivariable predictive approaches have been promoted to provide more patient-centered results, by accounting for multiple relevant attributes simultaneously. We review approaches used to estimate HTE in clinical trials of MS.
- Subjects
MULTIPLE sclerosis; TREATMENT effectiveness; HETEROGENEITY; CLINICAL trials; SUBGROUP analysis (Experimental design)
- Publication
Multiple Sclerosis Journal, 2023, Vol 29, Issue 9, p1158
- ISSN
1352-4585
- Publication type
Article
- DOI
10.1177/13524585231189673