A note on the estimation of the multinomial logistic model with correlated responses in SAS

作者：Kuss Oliver^*; McLerran Dale

来源：Computer Methods and Programs in Biomedicine, 2007, 87(3): 262-269.

DOI：10.1016/j.cmpb.2007.06.002

• multinomial logistic model
• random effects
• marginal models
• SAS
• GEE

We show how multinomial logistic models with correlated responses can be estimated within SAS software. To achieve this, random effects and marginal models are introduced and the respective SAS code is given. An example data set on physicians' recommendations and preferences in traumatic brain injury rehabilitation is used for illustration. The main motivation for this work are two recent papers that recommend estimating multinomial logistic models with correlated responses by using a Poisson likelihood which is statistically correct but computationally inefficient.

• 出版日期2007-9
• 单位河北医科大学