1998
DOI: 10.1093/oxfordjournals.aje.a009511
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Population-Averaged and Subject-Specific Approaches for Analyzing Repeated Binary Outcomes

Abstract: Several approaches have been proposed to model binary outcomes that arise from longitudinal studies. Most of the approaches can be grouped into two classes: the population-averaged and subject-specific approaches. The generalized estimating equations (GEE) method is commonly used to estimate population-averaged effects, while random-effects logistic models can be used to estimate subject-specific effects. However, it is not clear to many epidemiologists how these two methods relate to one another or how these … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
291
0
2

Year Published

2000
2000
2023
2023

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 376 publications
(294 citation statements)
references
References 32 publications
1
291
0
2
Order By: Relevance
“…The eventual IOP was lower in S which may represent the loss not only of cells but also of extracellular matrix which could persist in eyes in F to a variable extent and time. Our use of a B-spline function of time provides for the first time function modeling for a biological system of effects in an eye culture model that play out over a period of time rather than the common comparison of single time points which assumes that observations from one time point to the other are largely unrelated (Hu et al, 1998). Handling longitudinal data this way allows for an extension of the standard linear mixed-effects models that can around for a broad range of non-linear behaviors.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The eventual IOP was lower in S which may represent the loss not only of cells but also of extracellular matrix which could persist in eyes in F to a variable extent and time. Our use of a B-spline function of time provides for the first time function modeling for a biological system of effects in an eye culture model that play out over a period of time rather than the common comparison of single time points which assumes that observations from one time point to the other are largely unrelated (Hu et al, 1998). Handling longitudinal data this way allows for an extension of the standard linear mixed-effects models that can around for a broad range of non-linear behaviors.…”
Section: Discussionmentioning
confidence: 99%
“…A linear mixed effects model was fitted to the fold change response in R (Core Team, 2016). The response was modeled as a B-spline function of time with 5 degrees of freedom (Berk;Hu et al, 1998).…”
Section: Statisticsmentioning
confidence: 99%
“…Each of these methods offers particular advantages that depend on the nature of the data sample and the desired research focus (Hu et al, 1998). A particular advantage of GEEs is their ability to robustly estimate the regression coefficient's variances for data samples exhibiting high correlation between repeated measurements (Ballinger, 2004;Ghisletta & Spini 2004;Hu et al, 1998).…”
Section: Methodsmentioning
confidence: 99%
“…We developed the risk model using a logistic regression model fitted with generalized estimating equations (GEE) methodology 19 to adjust for clustering of patients within institutions. 20 An exchangeable correlation structure was used to apply the GEE methodology.…”
Section: Model Developmentmentioning
confidence: 99%