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- W3147742192 abstract "Outcomes of continuous proportions arise in many applied areas. Such data are typically measured as percentages, rates or proportions confined in the unitary interval. In this paper, we propose to use a dispersion model of the simplex distribution to model such proportional outcomes. We study some key properties of the simplex distribution, which will be applied to establish estimation and inference in the regression analysis. Simulation studies show better robustness of the proposed simplex regression model against violation in some distributional assumptions than the beta distribution based regression model and the logit-normal linear regression model. We illustrate the proposed methodology by a real data analysis on peripheral blood stem cell transplants and robustness against outliers. The proposed framework is implemented on the R platform in a package named simplexreg, which can be downloaded from http://my.zju.edu.cn/share/2466293(verification code: 7919)." @default.
- W3147742192 created "2021-04-13" @default.
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- W3147742192 date "2014-01-01" @default.
- W3147742192 modified "2023-09-25" @default.
- W3147742192 title "Regression analysis of proportional data using simplex distribution" @default.
- W3147742192 hasPublicationYear "2014" @default.
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