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生存数据的回归分析:在母乳喂养中的应用

Regression analysis of current-status data: an application to breast-feeding.

作者信息

Grummer-strawn L M

出版信息

J Am Stat Assoc. 1993 Sep;88(423):758-65. doi: 10.1080/01621459.1993.10476336.

Abstract

"Although techniques for calculating mean survival time from current-status data are well known, their use in multiple regression models is somewhat troublesome. Using data on current breast-feeding behavior, this article considers a number of techniques that have been suggested in the literature, including parametric, nonparametric, and semiparametric models as well as the application of standard schedules. Models are tested in both proportional-odds and proportional-hazards frameworks....I fit [the] models to current status data on breast-feeding from the Demographic and Health Survey (DHS) in six countries: two African (Mali and Ondo State, Nigeria), two Asian (Indonesia and Sri Lanka), and two Latin American (Colombia and Peru)."

摘要

尽管从当前状态数据计算平均生存时间的技术广为人知,但它们在多元回归模型中的应用却有些麻烦。本文利用当前母乳喂养行为的数据,考虑了文献中提出的一些技术,包括参数模型、非参数模型和半参数模型,以及标准时间表的应用。在比例优势和比例风险框架中对模型进行了检验……我将这些模型应用于六个国家人口与健康调查(DHS)中母乳喂养的当前状态数据:两个非洲国家(马里和尼日利亚翁多州)、两个亚洲国家(印度尼西亚和斯里兰卡)以及两个拉丁美洲国家(哥伦比亚和秘鲁)。

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