๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Analysis of Clustered Data: A Combined Estimating Equations Approach

โœ Scribed by Julie A. Stoner and Brian G. Leroux

Book ID
124307611
Publisher
Oxford University Press
Year
2002
Tongue
English
Weight
307 KB
Volume
89
Category
Article
ISSN
0006-3444

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

POWER DETERMINATION FOR GEOGRAPHICALLY C
POWER DETERMINATION FOR GEOGRAPHICALLY CLUSTERED DATA USING GENERALIZED ESTIMATING EQUATIONS
โœ SCOTT A. HENDRICKS; JAMES T. WASSELL; JAMES W. COLLINS; SUZANNE L. SEDLAK ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 631 KB

Study designs in public health research often require the estimation of intervention effects that have been applied to a cluster of subjects in a common geographic area, rather than randomly assigned to individual subjects, and where the outcome is dichotomous. Statistical methods that account for t

An alternative approach to the analysis
An alternative approach to the analysis of longitudinal data via generalized estimating equations
โœ N.Rao Chaganty ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 749 KB

The generalized estimating equations (GEE) introduced by Liang and Zeger (Biometrika 73, (1986) 13-22) have been widely used over the past decade to analyze longitudinal data. The method uses a generalized quasi-score function estimate for the regression coefficients, and moment estimates for the co