Cargando…
Distributional regression in clinical trials: treatment effects on parameters other than the mean
BACKGROUND: The classical linear model is widely used in the analysis of clinical trials with continuous outcomes. However, required model assumptions are frequently not met, resulting in estimates of treatment effect that can be inefficient and biased. In addition, traditional models assess treatme...
Autores principales: | Heller, Gillian Z., Robledo, Kristy P., Marschner, Ian C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883706/ https://www.ncbi.nlm.nih.gov/pubmed/35220944 http://dx.doi.org/10.1186/s12874-022-01534-8 |
Ejemplares similares
-
Treatment effects beyond the mean using distributional regression: Methods and guidance
por: Hohberg, Maike, et al.
Publicado: (2020) -
Medicare reimbursement and regression to the mean
por: Beebe, James C.
Publicado: (1988) -
Biases in clinical trials with sequential monitoring
por: Schou, Manjula, et al.
Publicado: (2011) -
Managing more than the mean: using quantile regression to identify factors related to large elk groups
por: Brennan, Angela, et al.
Publicado: (2015) -
Flexible regression and smoothing: using GAMLSS in R
por: Stasinopoulos, Mikis D, et al.
Publicado: (2017)