面板数据模型在婴儿生长发育评价中的应用

发布时间：2019-04-09 09:22

【摘要】：目的既往婴儿生长发育评价多采用时点断面数据,可能损失有价值信息。本文探索面板数据模型在婴儿生长发育评价中的应用。方法通过回顾性调查、摘录儿童保健手册和信息系统内容的方式获取资料。用R软件plm等程序包分析。结果 536人出生体重为(3302.71±443.22)g,婴儿体重平均增长(6.72±0.92)kg。婴儿体重固定效应模型截距为0.45~4.89,95%参考值为(0.95,3.39),17人体重增长过速,510人体重增长正常,9人体重增长过缓。婴儿体重生长速度为:17人上等,381人中等,60人中上等,71人中下等,7人下等,用体重年增加率法和Z分差值法评价结果,差异没有统计学意义。结论面板数据固定效应模型截距可拟定婴儿体重生长速度参考值和分级标准,以评价婴儿生长发育。
[Abstract]:Objective to evaluate infant growth and development by using time section data, which may lose valuable information. This paper explores the application of panel data model in infant growth and development evaluation. Methods A retrospective investigation was conducted to extract the contents of child health care manual and information system. R software plm and other package analysis. Results the birth weight of 536 persons was (3302.71 卤443.22) g, and the average weight gain of infants was (6.72 卤0.92) kg.. The cutoff of fixed effect model of infant weight was 0.45 ~ 4.89, and 95% reference value was (0.95, 3.39). 17 people gained weight too quickly, 510 people gained normal weight, and 9 people gained too slowly. The body weight growth rate of infants was 17, 381, 60, 71 and 7, respectively. The results were evaluated by the method of annual weight gain rate and Z-score method, and the difference was not statistically significant. Conclusion the cutoff of panel data fixation effect model can be used to draw up the reference value and grading standard of infant weight growth rate in order to evaluate the infant growth and development.
【作者单位】：中南大学公共卫生学院流行病与卫生统计学教研室;
【基金】：出生队列健康数据链接的面板数据模型研究(NO.81373101)
【分类号】：R174

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