Please use this identifier to cite or link to this item: https://doi.org/10.1080/03610920903039498
Title: Semiparametric residuals and analysis for a scleroderma clinical trial
Authors: Li, J. 
Keywords: Longitudinal data
Model diagnosis
Outlier test
Residual analysis
Semiparametric model
Issue Date: 2009
Citation: Li, J. (2009). Semiparametric residuals and analysis for a scleroderma clinical trial. Communications in Statistics - Theory and Methods 38 (18) : 3339-3350. ScholarBank@NUS Repository. https://doi.org/10.1080/03610920903039498
Abstract: Residual analysis is useful for assessing how well the fitted regression model explains the observed data, including the impact and significance of an observation on the overall results. Such residual analysis works well when a fully parametric model is assumed. However, its usefulness in evaluating goodness of fit for semiparametric models is not well studied. In this article, we propose various definitions of residuals for a semiparametric regression model and apply them to a multi-center two-armed clinical trial for Scleroderma patients. We show we can gain interesting insights on the longitudinal data using our proposed residuals.
Source Title: Communications in Statistics - Theory and Methods
URI: http://scholarbank.nus.edu.sg/handle/10635/105355
ISSN: 03610926
DOI: 10.1080/03610920903039498
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