Cargando…
A comparison of missing data methods for hypothesis tests of the treatment effect in substance abuse clinical trials: a Monte-Carlo simulation study
BACKGROUND: Missing data due to attrition are rampant in substance abuse clinical trials. However, missing data are often ignored in the presentation of substance abuse clinical trials. This paper demonstrates missing data methods which may be used for hypothesis testing. METHODS: Methods involving...
Autores principales: | Hedden, Sarra L, Woolson, Robert F, Malcolm, Robert J |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2441613/ https://www.ncbi.nlm.nih.gov/pubmed/18522752 http://dx.doi.org/10.1186/1747-597X-3-13 |
Ejemplares similares
-
Randomization in substance abuse clinical trials
por: Hedden, Sarra L, et al.
Publicado: (2006) -
A comparison of plotless density estimators using Monte Carlo simulation on totally enumerated field data sets
por: White, Neil A, et al.
Publicado: (2008) -
Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
por: Collins, Stuart, et al.
Publicado: (2010) -
Monte Carlo simulation
por: Mitchell, Frederick J
Publicado: (2017) -
Monte Carlo Simulation and Test4Theory
por: Skands, Peter, et al.
Publicado: (2013)