Analysing the relationship between maternal weight gain and birthweight: exploration of four statistical issues.
Analysing the relationship between maternal weight gain and birthweight: exploration of four statistical issues.
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分析母亲体重增加与出生体重之间的关系：四个统计问题的探索。
DOI：
10.1111/j.1365-3016.1996.tb00045.x
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发表时间：
1996
影响因子：
2.8
通讯作者：
Abrams,B
中科院分区：
文献类型：
--
作者：
Selvin,S;Abrams,B
讨论了有关出生体重和妊娠期间母亲体重增加分析的四个统计问题：（1）描述了部分整体相关性（例如母亲总体重增加与婴儿出生体重之间的相关性）。 (2) 探索一个比率或两个单独的解释变量之间的选择（例如体重指数或分别使用母亲体重和身高）。 (3) 讨论了二元变量替代连续变量时的两个统计特性（偏差和功效）（例如，使用低出生体重而不是报告的出生体重的后果）。 (4) 提出了模型选择程序，以提供一种从大量可用解释变量中选择有用的变量子集来对结果变量（例如出生体重）进行建模的方法。旧金山加利福尼亚大学莫菲特医院的一组 4017 例新生儿的出生数据说明了这些问题。此外，这四个问题在对收集的数据进行统计方法的许多应用中出现，以研究新生儿的流行病学。
Four statistical issues concerning the analysis of birthweight and maternal weight gain during pregnancy are discussed: (1) Part‐whole correlation is described (e.g. the correlation between total maternal weight gain and her infant's birthweight). (2) The choice between a ratio or two separate explanatory variables is explored (e.g. body mass index or using maternal weight and height separately). (3) Two statistical properties (bias and power) when a binary variable replaces a continuous variable are discussed (e.g. consequences of using low birthweight instead of reported birthweight). (4) A model selection procedure is presented to provide a way to select a useful subset of variables from a large number of available explanatory variables to model an outcome variable (e.g. birthweight). These issues are illustrated with a set of 4017 births from Moffitt Hospital at the University of California, San Francisco. Furthermore, these four issues arise in a number of applications of statistical methods to data collected to study the epidemiology of newborn infants.