Journal
STATISTICAL MODELLING
Volume 14, Issue 4, Pages 293-313Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1471082X13504721
Keywords
changepoint; mixed segmented regression; nonlinear mixed models; random changepoints; psychiatric longitudinal data
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Funding
- National Institute of Mental Health [MH55502]
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We present a simple and effective iterative procedure to estimate segmented mixed models in a likelihood based framework. Random effects and covariates are allowed for each model parameter, including the changepoint. The method is practical and avoids the computational burdens related to estimation of nonlinear mixed effects models. A conventional linear mixed model with proper covariates that account for the changepoints is the key to our estimating algorithm. We illustrate the method via simulations and using data from a randomized clinical trial focused on change in depressive symptoms over time which characteristically show two separate phases of change.
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