A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study

BACKGROUND: Missing data is a common problem in epidemiological studies, and is particularly prominent in longitudinal data, which involve multiple waves of data collection. Traditional multiple imputation (MI) methods (fully conditional specification (FCS) and multivariate normal imputation (MVNI))...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:BMC Med Res Methodol
Main Authors: De Silva, Anurika Priyanjali, Moreno-Betancur, Margarita, De Livera, Alysha Madhu, Lee, Katherine Jane, Simpson, Julie Anne
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2017
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5526258/
https://ncbi.nlm.nih.gov/pubmed/28743256
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0372-y
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados