MARGINAL REGRESSION FOR REPEATED BINARY DATA WITH OUTCOME SUBJECT TO NON-IGNORABLE NONRESPONSE
MARGINAL REGRESSION FOR REPEATED BINARY DATA WITH OUTCOME SUBJECT TO NON-IGNORABLE NONRESPONSE
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DOI：
10.2307/2533003
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发表时间：
1995-09-01
期刊：
影响因子：
1.9
通讯作者：
BAKER, SG
中科院分区：
文献类型：
--
作者：
BAKER, SG
使用解释不可忽略的无反应的模型，我们分析了来自马斯卡廷风险因素研究（Woolson 和 Clarke，1984，皇家统计学会杂志，Ser-ies A 147, 87-99）的数据，该研究涉及性别和年龄对学童肥胖的影响。该方法与 Diggle 和 Kenward（1994，应用统计学 43, 49-93）的方法相关，除了重复的数据是二进制的，不连续，并且无响应以各种模式出现，而不仅仅是丢失。我们发现强有力的证据表明，不回应是不可忽视的。此外，我们发现肥胖儿童的比例随性别差异显着，并且随着年龄的增长而增加。
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, Ser-ies 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.