Statistical Methods for the Analysis of Repeated Measurements

By J. R. Kenyon. Technometrics, 2003

535 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Marginal models for zero inflated clustered data (2004, methodology): “Hall (2000) extended ZIP and ZIB models to see also the clustered data case by introducing cluster specific random effects into the model (Yau and Lee, 2001).”
Bayesian model selection of informative hypotheses for repeated measurements (2009, background): “As was pointed out by Davis (2002), repeated measurements can be modeled in different ways.”
Primary care physician time utilization before and after implementation of an electronic health record: A time-motion study (2005, methodology): “Instead we used the GENMOD procedure in the SAS statistical package to empirically estimate the correlation between patients within physician and to adjust the standard errors of the effect estimates for the correlation [35].”
Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event (2012, methodology): “Various methods for analyzing these data have been proposed (Welsh, Lin, and Carroll 2002; Davis 2002; Fitzmaurice, Laird, and Ware 2004; Fan and Li 2004).”
Brain causality alterations in major depressive disorder treatment (2026, unknown): “All numerical values of the repeated measures ANOVA p-values are presented in the Supplementary Materials (Tables 1 – 3) for the sake of completeness.”