Proportional odds ratio model for comparison of diagnostic tests in meta-analysis

Proportional odds ratio model for comparison of diagnostic tests in meta-analysis

BACKGROUND Consider a meta-analysis where a 'head-to-head' comparison of diagnostic tests for a disease of interest is intended. Assume there are two or more tests available for the disease, where each test has been studied in one or more papers. Some of the papers may have studied more than one test, hence the results are not independent. Also the collection of tests studied may change from on...

177-30: Using SAS® to Estimate Proportional Odds Ratio Model for Meta-Analysis of Diagnostic Tests

This work shows how we can use SAS system to implement the proportional odds ratio (POR) model (Siadaty 2004). POR is used to pool results of several studies together in a meta-analysis of diagnostic tests. It generalizes comparison of competing tests when there are two or more tests available for disease and each test has been studied in one or more papers and each paper might have studied mor...

Variable selection for proportional odds model.

In this paper we study the problem of variable selection for the proportional odds model, which is a useful alternative to the proportional hazards model and might be appropriate when the proportional hazards assumption is not satisfied. We propose to fit the proportional odds model by maximizing the marginal likelihood subject to a shrinkage-type penalty, which encourages sparse solutions and ...

Model Diagnostics for Proportional and Partial Proportional Odds Models

Analysis of cure rate survival data under proportional odds model.

Due to significant progress in cancer treatments and management in survival studies involving time to relapse (or death), we often need survival models with cured fraction to account for the subjects enjoying prolonged survival. Our article presents a new proportional odds survival models with a cured fraction using a special hierarchical structure of the latent factors activating cure. This ne...