Data may exhibit dependencies for many reasons. If a patient’s medical condition is measured across several time points, it seems unlikely that these measurements are totally unrelated. Educational ...

Table 1 Summary of other models used to predict 24-h urinary creatinine level (male subjects unless otherwise noted). Full size table Using correlated repeated measurement data from an occupational ...

"First edition published in 2006." 1. Introduction -- What are linear mixed models (LMMs)? -- Models with random effects for clustered data -- Models for longitudinal or repeated-measures data -- A ...

This article develops methods for estimating treatment effects in mixed-effects models using outcome data gathered from serial dilution assays. Our application allows us to estimate the viral burden ...

In a randomized longitudinal clinical trial designed to evaluate two or more rival treatments, an intent-to-treat analysis requires inclusion of all randomized patients, regardless of whether they ...

This course will cover repeated measures models. The main focus will be implementation of such models and interpretation of the output and briefly covering why we need repeated measures models. The ...