【文件属性】：
文件名称：A Study of Interval Censoring in Parametric Regression Models.pdf
文件大小：372KB
文件格式：PDF
更新时间：2020-04-08 22:16:25
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Parametric models for interval censored data can now easily be fitted with minimal programming in
certain standard statistical software packages. Regression equations can be introduced, both for the location and
for the dispersion parameters. Finite mixture models can also be fitted, with a point mass on right (or left) censored
observations, to allow for individuals who cannot have the event (or already have it). This mixing probability can
also be allowed to follow a regression equation.