1997
DOI: 10.2307/2533983
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Analysis of Longitudinal Data.

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Cited by 1,564 publications
(1,913 citation statements)
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“…Mixed-effects modeling was considered an optimal approach for analyzing the effects of relationship power on the outcome variable, while accounting for site as random effect and accommodating for missing data (provided missing data occurred at random). 46 Missing data were minimal (i.e., ≤2% missing on any covariate). Interactions between covariates and the SRPS subscales were included in the final model if significant at the 90% confidence level (i.e., pG0.10).…”
Section: Discussionmentioning
confidence: 99%
“…Mixed-effects modeling was considered an optimal approach for analyzing the effects of relationship power on the outcome variable, while accounting for site as random effect and accommodating for missing data (provided missing data occurred at random). 46 Missing data were minimal (i.e., ≤2% missing on any covariate). Interactions between covariates and the SRPS subscales were included in the final model if significant at the 90% confidence level (i.e., pG0.10).…”
Section: Discussionmentioning
confidence: 99%
“…A first-order autoregressive correlation structure was used (Diggle et al, 1996) and each measurement Y ij was modeled as…”
Section: Discussionmentioning
confidence: 99%
“…In order to allow the patients with more than one admission to provide information on the different admissions, the generalized estimating equation (GEE) method, with an unstructured correlation matrix to allow for within-individual correlation, was used [23]. Moreover, this method provides individual-based proportions.…”
Section: Discussionmentioning
confidence: 99%