Factors contributing to depression in the elderly: a longitudinal data analysis based on linear mixed effect
Objective To investigate the prevalence of depression in the elderly and identify the contributing factors by fitting the Geriatric Depression Scale (GDS) scores using a linear mixed effect (LME) model. Methods The data were obtained from a longitudinal study by the United States National Alzheimer&...
Main Authors: | SONG Qiuyue, YI Dong, WU Yazhou |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Third Military Medical University
2019-02-01
|
Series: | Di-san junyi daxue xuebao |
Subjects: | |
Online Access: | http://aammt.tmmu.edu.cn/Upload/rhtml/201808025.htm |
Similar Items
-
Accessible analysis of longitudinal data with linear mixed effects models
by: Hendricks, A.E, et al.
Published: (2022) -
Linear mixed-effects model for longitudinal complex data with diversified characteristics
by: Zhichao Wang, et al.
Published: (2020-06-01) -
Original article Depressive symptom clusters among the elderly: a longitudinal study of course and its correlates
by: Aleksandra Kroemeke, et al.
Published: (2014-11-01) -
q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
by: Nicholas A. Bokulich, et al.
Published: (2018-11-01) -
A Review and Comparison of Models and Estimation Methods for Multivariate Longitudinal Data of Mixed Scale Type
by: Codd, Casey
Published: (2014)