Robust estimation of marginal regression parameters in clustered data. (December 2014)

• Record Type: Journal Article
• Authors: Datta, Somnath; Beck, James D
• Other Names: Lesaffre Emmanuel guest-editor.; Declerck Dominique guest-editor.
• Is Part Of: Statistical modelling. Volume 14:Number 6(2014)
• Page Start: 489
• Page End: 501
• Publication Date: 2014-12
• Subjects: Informative cluster size -- random cluster size -- R estimator -- dental data; Linear models (Statistics) -- Periodicals; Mathematical models -- Periodicals; Modèles linéaires (Statistique) -- Périodiques; Modèles mathématiques -- Périodiques; Modèle statistique; Modèle linéaire; Modélisation statistique; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 519.5011
• DOI: 10.1177/1471082X14535481
• Languages: English
• ISSNs: 1471-082X

Abstract

We develop robust methods for analyzing clustered data where estimation of marginal regression parameters is of interest. Inverse cluster size reweighting in the objective function to be minimized is incorporated to handle the issue of informative cluster size. Performance of the resulting estimators is studied by simulation. Large sample inference and variance estimation is carried out. The methodology is illustrated using a periodontal disease dataset.