Generalized semiparametric varying-coefficient models for longitudinal data
L Qi - 2015 - search.proquest.com
L Qi
2015•search.proquest.comIn this dissertation, we investigate the generalized semiparametric varying-coefficient
models for longitudinal data that can flexibly model three types of covariate effects: time-
constant effects, time-varying effects, and covariate-varying effects, ie, the covariate effects
that depend on other possibly time-dependent exposure variables.
models for longitudinal data that can flexibly model three types of covariate effects: time-
constant effects, time-varying effects, and covariate-varying effects, ie, the covariate effects
that depend on other possibly time-dependent exposure variables.
Abstract
In this dissertation, we investigate the generalized semiparametric varying-coefficient models for longitudinal data that can flexibly model three types of covariate effects: time-constant effects, time-varying effects, and covariate-varying effects, ie, the covariate effects that depend on other possibly time-dependent exposure variables.
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