Abstract:
:In this paper, we investigate the impact of time-invariant covariates when fitting transition mixed models. This is carried out by emphasizing on the role of baseline responses on the estimation process. Transition models are allowed for two cases of exogenous and endogenous baseline responses. We illustrate these concepts in the special case of transition linear mixed models with centered time-varying covariates. Results of our simulation studies show that the omission, or the inclusion, of time-invariant covariates is not important in models with exogenous baseline responses, while it has an essential effect on fitting models with the endogenous baseline responses. It is also emphasized that the effect becomes minor when the endogeneity issue is handled. The practical consequences are illustrated in the analysis of a real data set taken from medical sciences.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Rikhtehgaran R,Kazemi I,Verbeke Gdoi
10.1002/sim.6270subject
Has Abstractpub_date
2014-11-30 00:00:00pages
4743-55issue
27eissn
0277-6715issn
1097-0258journal_volume
33pub_type
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