文章摘要
李丽霞,周舒冬,张敏,张岩波,郜艳晖.多水平模型和潜变量增长曲线模型在纵向数据分析中的应用及比较[J].中华流行病学杂志,2014,35(6):741-744
多水平模型和潜变量增长曲线模型在纵向数据分析中的应用及比较
Comparisons of two statistical approaches in studying the longitudinal data:the multilevel model and the latent growth curve model
收稿日期:2013-10-30  出版日期:2014-09-02
DOI:
中文关键词: 多水平模型;潜变量增长曲线模型;纵向数据
英文关键词: Multilevel model;Latent growth curve model;Longitudinal data
基金项目:国家自然科学基金(30972553)
作者单位E-mail
李丽霞 510310 广州, 广东药学院公共卫生学院卫生统计学教研室广东省分子流行病学重点实验室  
周舒冬 510310 广州, 广东药学院公共卫生学院卫生统计学教研室广东省分子流行病学重点实验室  
张敏 510310 广州, 广东药学院公共卫生学院卫生统计学教研室广东省分子流行病学重点实验室  
张岩波 山西医科大学公共卫生学院卫生统计学教研室  
郜艳晖 510310 广州, 广东药学院公共卫生学院卫生统计学教研室广东省分子流行病学重点实验室 gao_yanhui@163.com 
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中文摘要:
      比较多水平模型和潜变量增长曲线模型在纵向数据分析中的应用。文中以结直肠癌患者术后的生命质量情况为实例,比较两种方法的异同。结果表明两方法的参数估计值结果非常接近,多水平模型在模型构建时较为容易,而潜变量增长曲线模型在模型评价等方面具有优势。两方法均可很好地分析纵向观测的数据,且各有优点,研究者应根据需要选择合适的方法分析数据。
英文摘要:
      To compare two commonly used statistical approaches:the 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.
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