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A Two‐Level Regression Model for Growth Curves with Correlated Outcomes
Author(s) -
Ojeda M.M.,
Longford N.
Publication year - 1998
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/(sici)1521-4036(199808)40:4<447::aid-bimj447>3.0.co;2-3
Subject(s) - covariate , statistics , regression analysis , mathematics , growth curve (statistics) , econometrics , regression , linear model , linear regression , factor regression model , proper linear model , polynomial regression
We propose a mixed‐effect linear model, as a particular case of the two‐level regression model, for analyzing repeated measures made at completely irregular time points. The model allows for subject‐level covariates, so as to study the trend and the variability of the individual growth curves. Application of this model is illustrated on a published data set.