Comparisons of two statistical approaches in studying the longitudinal data:the multilevel model and the latent growth curve model / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 741-744, 2014.
Artigo
em Chinês
| WPRIM
| ID: wpr-737408
ABSTRACT
To compare two commonly used statistical approachesthe multilevel model and the latent growth curve model in analyzing longitudinal data. A longitudinal data set,obtained from the quality of life in patients with colorectal cancer after operation,was used to illustrate the similarities and differences between the two methods. Results from the study indicated that the latent growth curve modeling was equivalent to multilevel modeling with regards to longitudinal data which could yield identical results for the estimates of parameters. Multilevel model approach seemed easier for model specification. However,latent growth curve model had the advantage of providing model evaluation and was more flexible in statistical modeling by allowing the incorporation of latent variables. Both multilevel and latent growth curve models were suitable for analyzing longitudinal data with advantages on their own,they conld be chosen by researchers under different situation to be chosen accordingly by researchers under different situation.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Journal of Epidemiology
Ano de publicação:
2014
Tipo de documento:
Artigo
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