Multinomial Logistic Regression Analyses

The MultiLogistic macro can also conduct multinomial logistic regression analyses when the outcome has more two categories that do not have any particular order. The procedure for conducting analyses is very similar to the binomial and ordinal logistic regression analyses discussed on previous pages, except the following argument:

modeltype = multinomial, /* Type of outcome variable */

Include this argument for conducting multinomial logistic regression analyses. The rest of the procedure is the same as for conducting binomial logistic regression analyses.

Example

We will use the same dataset MEEXP (Mammography Experience) as used to demonstrate univariable multinomial logistic regression analyses. A brief description of the dataset (© John Wiley & Sons Inc) is available at http://www.umass.edu/statdata/statdata/data/meexp.txt

We have included a video showing the procedure to conduct multinomial logistic regression analyses for this dataset. You can download the dataset and the implementation code for conducting example analyses shown in the video. We have also included the output file produced by the macro.

• Video (wmv) (65.3MB; 4.19min)
• Dataset (You do not need to download it again if you already downloaded it for conducting univariable multinomial logistic regression analyses).
• Implementation code. (sas)
• MultiLogistic macro (sas)
  (You do not need to download it again if you already downloaded it for conducting binomial multivariable logistic regression analyses)
• Example output file. (xls)