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Regression analysis of multilevel data with measurement error
Author(s) -
Longford N. T.
Publication year - 1993
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1993.tb01018.x
Subject(s) - multilevel model , statistics , regression analysis , observational error , regression , linear regression , correlation , errors in variables models , mathematics , computer science , econometrics , geometry
Multilevel data structures, such as data with individuals within groups, groups within areas, etc., arise in a variety of contexts. Regression models for such data allow for variation of the within‐group regression coefficients. Since some of the explanatory variables may be observed subject to measurement error, it is desirable to define models that combine within‐group correlation and measurement error. We discuss a general model formulation and a scoring algorithm for maximum likelihood estimation.