A note on the estimation of the multinomial logistic model with correlated responses in SAS
نویسندگان
چکیده
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.
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A warning concerning the estimation of multinomial logistic models with correlated responses in SAS
Kuss and McLerran in a paper in this journal provide SAS code for the estimation of multinomial logistic models for correlated data. Their motivation derived from two papers that recommended to estimate such models using a Poisson likelihood, which is according to Kuss and McLerran "statistically correct but computationally inefficient". Kuss and McLerran propose several estimating methods. Som...
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عنوان ژورنال:
- Computer methods and programs in biomedicine
دوره 87 3 شماره
صفحات -
تاریخ انتشار 2007