Inference for the break point in segmented regression with application to longitudinal data
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Piepho, H.P. and Ogutu, J.O. 2003. Inference for the break point in segmented regression with application to longitudinal data. Biometrical Journal 45(5): 591-601.
Permanent link to cite or share this item: http://hdl.handle.net/10568/35339
This paper considers inference for the break point in the segmented regression or piece-wise regression model. Standard likelihood theory does not apply because the break point is absent under the null hypothesis. We use results by DAVIES for this type of non-standard set-up [Biometrika 64 (1977), 247-254 and 74 (1987), 33-43] to obtain a test for the null hypothesis of no break point. A confidence interval can be constructed provided replicate data are available. The methods are exemplified using two longitudinal datasets, the one from ecology, the other from pharmacology.
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