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针对具有受不可忽略的无应答影响的结局的重复二元数据的边际回归。

Marginal regression for repeated binary data with outcome subject to non-ignorable non-response.

作者信息

Baker S G

机构信息

Biometry Branch, National Cancer Institute, Bethesda, Maryland 20892-7354, USA.

出版信息

Biometrics. 1995 Sep;51(3):1042-52.

PMID:7548689
Abstract

Using a model that accounts for non-ignorable non-response, we analyzed data from the Muscatine Risk Factor Study (Woolson and Clarke, 1984, Journal of the Royal Statistical Society, Series A 147, 87-99) on the effects of gender and age on obesity in schoolchildren. The methodology is related to that of Diggle and Kenward (1994, Applied Statistics 43, 49-93), except that the repeated data are binary, not continuous, and the non-response occurs in various patterns, not just dropouts. We found strong evidence that non-response was non-ignorable. In addition, we found that the proportion of children who were obese differed significantly with gender and increased with age.

摘要

我们使用一个考虑了不可忽略的无应答情况的模型,分析了马斯卡廷危险因素研究(伍尔森和克拉克,1984年,《皇家统计学会杂志》,A辑147卷,87 - 99页)中关于性别和年龄对学童肥胖影响的数据。该方法与迪格尔和肯沃德(1994年,《应用统计学》43卷,49 - 93页)的方法相关,不同之处在于重复数据是二元的,而非连续的,并且无应答以多种模式出现,不仅仅是失访。我们发现有力证据表明无应答是不可忽略的。此外,我们发现肥胖儿童的比例在性别上有显著差异,且随年龄增长而增加。

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