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Linear Mixed Models II

  • Brian Everitt
  • Sophia Rabe-Hesketh
Part of the Statistics for Biology and Health book series (SBH)

Abstract

In this chapter, we extend the methods of the previous chapter in several ways. First, we will relax the assumption of conditional independence of the responses given the random effects by introducing serial autocorrelations for longitudinal data. Then, we will discuss relaxing the assumption of constant variances of the random error terms. Finally, we consider models for multilevel data in which there are several levels of clustering. Examples are repeated measures on subjects in hospitals, patients in wards in hospitals, or patients of GPs in cities.

Keywords

Hearing Loss Linear Mixed Model Peak Expiratory Flow Conditional Independence General Health Questionnaire 
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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Brian Everitt
    • 1
  • Sophia Rabe-Hesketh
    • 1
  1. 1.Biostatistics and Computing DepartmentInstitute of PsychiatryLondonUK

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