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- Title
Direct Modelling of Regression Effects for Transition Probabilities in Multistate Models.
- Authors
SCHEIKE, THOMAS H.; MEI-JIE ZHANG
- Abstract
A simple and standard approach for analysing multistate model data is to model all transition intensities and then compute a summary measure such as the transition probabilities based on this. This approach is relatively simple to implement but it is difficult to see what the covariate effects are on the scale of interest. In this paper, we consider an alternative approach that directly models the covariate effects on transition probabilities in multistate models. Our new approach is based on binomial modelling and inverse probability of censoring weighting techniques and is very simple to implement by standard software. We show how to do flexible regression models with possibly time-varying covariate effects.
- Subjects
BINOMIAL theorem; MULTIVARIATE analysis; ANALYSIS of variance; MATHEMATICAL statistics; REGRESSION analysis
- Publication
Scandinavian Journal of Statistics, 2007, Vol 34, Issue 1, p17
- ISSN
0303-6898
- Publication type
Article
- DOI
10.1111/j.1467-9469.2006.00544.x