In Chap. 9, we analyzed the ARMD data using a model that assumed independence between repeated measurements of visual acuity for an individual patient. Given the longitudinal study design, in which sampling units, i.e., subjects, are differentfrom the units of analysis, i.e., visual acuity measurements, the assumption of independence typically does not hold. This consideration is confirmed by the results of the exploratory analysis presented in Sect.3.2, which indicate that the assumption is clearly not fulfilled. Thus, in the current chapter, we further modify our analysis to account for the correlation between the repeated measurements. In particular, we use LMs with fixed effects and correlated residual errors, defined in Sect.10.2.
CITATION STYLE
Gałecki, A., & Burzykowski, T. (2013). ARMD Trial: Modeling Correlated Errors for Visual Acuity (pp. 213–241). https://doi.org/10.1007/978-1-4614-3900-4_12
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