Alternative Outcome Types And Link Functions
REGRESSION WITH LINEAR PREDICTORS(2010)
摘要
In previous chapters we have focused on quantitative data with a linear mean, binary data with a logistic link, and proportional
hazards models for survival data. In this chapter we first study two “new” datatypes. The first is multinomial data (Section
7.1) where the outcome is a categorical variable with more than two levels. This includes both the case where the categories
are ordered (ordinal data, Section 7.1.1) and where they are unordered (nominal data, Section 7.1.2). The second type is counts
(Section 7.2) and we study models based on both the Poisson and the Binomial distribution.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络