A covariance estimator for GEE with improved small-sample properties

Biometrics

Volumn 57, Issue 1, 2001, Pages 126-134

  Mancl, Lloyd A ^a   DeRouen, Timothy A ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Correlated binary data; Logistic regression; Periodontal disease; Simulation study

Indexed keywords

DISEASES; STATISTICAL TESTS;

BINARY DATA; CLUSTER SIZES; CORRELATED BINARY DATA; GENERALIZED ESTIMATING EQUATIONS; LOGISTICS REGRESSIONS; PERIODONTAL DISEASE; PROPERTY; RESAMPLING METHOD; SIMULATION STUDIES; SMALL SAMPLES;

CLUSTER ANALYSIS;

ARTICLE; COVARIANCE; DATA ANALYSIS; METHODOLOGY; PERIODONTAL DISEASE; SAMPLING; STATISTICAL MODEL;

EID: 0035099161     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00126.x     Document Type: Article

References (19)

1. A method for generating high-dimensional multivariate binary variates
2. On some small sample properties of generalized estimating equation estimates for multivariate dichotomous outcomes
3. A comparison of statistical methods for clustered data analysis with Gaussian error
4. Small sample characteristics of generalized estimating equations
5. Estimation of the covariance matrix of the least-squares regression coefficients when the disturbance covariance matrix is of unknown form
6. Longitudinal data analysis using generalized linear models
7. Performance of generalized estimating equations in practical situations
8. Using the jackknife to estimate the variance of regression estimators from repeated measures studies
9. Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties
10. Evaluation of between- and within-subject effects for the analysis of clustered data
11. Between- and within-cluster covariate effects in the analysis of clustered data
12. Repeated measurement analysis for nonnormal data in small samples
13. Deletion diagnostics for generalized estimating equations
14. Small sample validity of latent variable models for correlated binary data
15. Regression analysis of correlated binary data; Some small sample results for the estimating equation approach
16. A comparison between bootstrap methods and generalized estimating equations for correlated outcomes in generalized linear model
17. A heteroskedasticity-cousistent covariance matrix and a direct test for heteroskedasticity
18. Jackknife, bootstrap and other resampling methods in regression analysis