Semi-parametric Methods for Longitudinal Data Analysis
نویسنده
چکیده
Self-modeling regression is a powerful semi-parametric tool for analysis of longitudinal data with time-invariant covariates. This paper explores the use of self-modelling regression for tting data from a designed experiment in which the response is a curve. Recent advances in mixed nonlinear models and nonparametric regression with time series errors has made the use of mixed model self-modeling regression a feasible extension of parametric mixed model methods for studies in which the response is a curve.
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تاریخ انتشار 2007