Assessing heterogeneity of treatment effect in multiple sclerosis trials.
Mult Scler
; 29(9): 1158-1161, 2023 08.
Article
en En
| MEDLINE
| ID: mdl-37555493
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.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Esclerosis Múltiple
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Mult Scler
Asunto de la revista:
NEUROLOGIA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Italia