Proportional Odds Logistic Regression R. An assumption of the ordinal logistic regression is the proportional odds assumption. The higher the value of odds the more likely the event is to occur.
The proportional odds assumption is that the number added to each of these logarithms to get the next is the same in every case. For a second way of testing the proportional odds assumption I also ran two vglm models one with familycumulativeparallel TRUE the other with familycumulativeparallel FALSE. T_Data contains 221 subjects with Assign value of 1 and 307 with a Assign value of 0.
Proportional odds logistic regression can be used when there are more than two outcome categories that have an order.
The method is also known as proportional odds model because of the transformations used during estimation and the log odds interpretation of the output. R is an open-source implementation of S. The higher the value of odds the more likely the event is to occur. The MASS package comes with R.
