ABSTRACT
In a medical study, patients have various stages of illness. After treatment the patient will be cured or the stage of illness will change. Since there are suitable evidences of a susceptible population by several levels, the authors combine a Self-Modeling ordinal model for the probability of occurrence of an event with a Cox regression for the time of occurrence of an event. We proposed the use of self-modeling ordinal longitudinal where the conditional cumulative probabilities for a category of an outcome have a relation with shape-invariant model. A simulation study is carried out for justification of the methodology. A schizophrenia illness data are analyzed based on our model to see whether the treatment affects the illness.
Acknowledgments
We would like to express our sincere thanks to the reviewers for their valuable comments that has improved the revised manuscript to a great extent. Mastani Shirazi heartily thanks the generous support of CAPES-Brazil.
Disclosure statement
No potential conflict of interest was reported by the authors.