An application of isotonic longitudinal marginal regression to monitoring the healing process

Fahrmeir, Ludwig; Gieger, Christian und Heumann, Christian (1997): An application of isotonic longitudinal marginal regression to monitoring the healing process. Collaborative Research Center 386, Discussion Paper 89

Abstract

This paper discusses marginal regression for repeated ordinal measurements that are isotonic over time. Such data are often observed in longitudinal studies on healing processes where, due to recovery, the status of patients only improves or stays the same. We show how this prior information can be used to construct appropriate and parsimoniously parametrized marginal models. As a second aspect, we also incorporate nonparametric fitting of covariate effects via a penalized quasi-likelihood or GEE approach. We illustrate our methods by an application to injuries from sporting activities.

• Item Type: Paper
• Faculties: Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386; Special Research Fields > Special Research Field 386
• Subjects: 500 Science > 510 Mathematics
• Language: English