Estimating regression models with unknown break‐points

VMR Muggeo - Statistics in medicine, 2003 - Wiley Online Library
Statistics in medicine, 2003Wiley Online Library
This paper deals with fitting piecewise terms in regression models where one or more break‐
points are true parameters of the model. For estimation, a simple linearization technique is
called for, taking advantage of the linear formulation of the problem. As a result, the method
is suitable for any regression model with linear predictor and so current software can be
used; threshold modelling as function of explanatory variables is also allowed. Differences
between the other procedures available are shown and relative merits discussed …
Abstract
This paper deals with fitting piecewise terms in regression models where one or more break‐points are true parameters of the model. For estimation, a simple linearization technique is called for, taking advantage of the linear formulation of the problem. As a result, the method is suitable for any regression model with linear predictor and so current software can be used; threshold modelling as function of explanatory variables is also allowed. Differences between the other procedures available are shown and relative merits discussed. Simulations and two examples are presented to illustrate the method. Copyright © 2003 John Wiley & Sons, Ltd.
Wiley Online Library