统计Accelerated Failure-Time Regression Models With a Regression Model of Surviving Fraction: An Application to the Analysis of "Permanent Employment" in Japan

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Accelerated Failure-Time Regression Models With a Regression Model of Surviving Fraction: An Application to the Analysis of "Permanent Employment" in Japan

文献名称	Accelerated Failure-Time Regression Models With a Regression Model of Surviving Fraction: An Application to the Analysis of "Permanent Employment" in Japan
文献作者	KAZUO YAMAGUCHI
作者所在单位	Department of Sociology, University of Chicago
文献分类	已发表文献
学科一级分类	统计
学科二级分类	统计学
文献摘要	Accelerated failure-time regression models with an additional regression model for the surving fraction are proposed for the analysis of evedls that may never occur, regardless of centring, for some people in the population risk set. The models attempt to estimate simultaneously the effects of covarlates on the acceleration/deceleration of the timing of a given event and the surviving fraction; that is, the proporlion of the population for which the event never occurs. The extended family of the generalized Gamma distribution is used for the accelerated failure-time regression model; the logistic function is used for the regression model of the surviving fraction. The models are applied to the data of interfirm job mobility in Japan to assess variability in "permanent employment" among white collar and blue collar employees in firms of diffetent sizes, independent from their vanahilisy in the timing of intorflrm job separations.
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关键字	Accelerated faihire time: Generalized gamma model; Job mobility; Permanent emphiyment; Surviving fraction.
发表所在刊物（或来源）	Journal of the American Slatlstleal Associatlon June 1992, VOl. 87, NO. 418, Applicatlons and Case studies
发表时间	June 1992
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