A framework for analysing longitudinal data involving time-varying covariates
Reza Drikvandi,
Geert Verbeke,
Geert Molenberghs
Abstract:Standard models for longitudinal data ignore the stochastic nature of time-varying covariates and their stochastic evolution over time by treating them as fixed variables. There have been recent methods for modelling time-varying covariates, however those methods cannot be applied to analyse longitudinal data when the longitudinal response and the time-varying covariates for each subject are measured at different time points. Moreover, it is difficult to study the temporal effects of a time-varying covariate o… Show more
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