Analysis of longitudinal data: choosing and interpreting regression models.
Analysis of longitudinal data: choosing and interpreting regression models.
复制标题
纵向数据分析：选择和解释回归模型。
DOI：
10.1183/09031936.93.06030325
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
J. Ware
中科院分区：
文献类型：
--
作者：
J. Ware
在本期杂志中，SHERRILL等人[1]介绍了对1，524名男性和女性的肺功能水平进行纵向研究的结果，这些男性和女性在初次检查时年龄约为55岁。参与者被随访长达14年，以确定影响功能下降水平和速度的因素。作者报告说，呼吸道症状和吸烟与肺功能水平呈负相关，在某些情况下，与功能下降率呈负相关，并量化了这些影响。这篇文章是几篇使用新的纵向分析方法来描述儿童期肺功能增长和成年期肺功能下降的个体模式的文章之一[2-6]。这篇社论讨论了纵向研究的优势以及选择和解释回归模型的策略，并对SHERRILL等人[1]使用的模型的某些方面进行了评论。
In this issue of the journal, SHERRILL et al. [1] present results from a longitudinal study of pulmonary function levels of 1,524 men and women, aged ~55 yrs at their initial examination. Participants were followed for up to 14 yrs to identify factors affecting the level and rate of decline of function. The authors report that respiratory symptoms and cigarette smoking were negatively associated with pulmonary function level and, in some cases, rate of decline of function, and quantify these effects. The paper is one of several [2-6] that have used new methods of longitudinal analysis to characterize ind.ividual patterns of pulmonary function growth during childhood and decline during adult life. This editorial discusses the advantages of longitudinal studies and the strategies for choosing and interpreting regression models, and comments on some aspects of the models used by SHERRILL et al. [1].
影响因子：
1.9
作者：
JONES, RH;BOADIBOATENG, F
通讯作者：
BOADIBOATENG, F