A transition model for analysis of repeated measure ordinal response data to identify the effects of different treatments

作者：Ganjali M^*; Rezaee Z

来源：Drug Information Journal, 2007, 41(4): 527-534.

• longitudinal ordinal response data
• cumulative logit model
• transition model
• pseudo-R-2
• insomnia

A first-order transition model is used to analyze repeated measurement or longitudinal ordinal response data to compare several treatments for which measurements for each subject occur both at baseline and at follow-up. The likelihood function is partitioned to make possible the use of existing software for estimating model parameters. Data from a clinical trial illustrate the application of the transition model. Nagelkerke's pseudo-R-2 is used for the goodness of fit of the model.

• 出版日期2007