๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Regularized Sandwich Estimators for Analysis of High-Dimensional Data Using Generalized Estimating Equations

โœ Scribed by David I. Warton

Book ID
109224377
Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
212 KB
Volume
67
Category
Article
ISSN
0006-341X

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Analysis of Comparative Data Using Gener
Analysis of Comparative Data Using Generalized Estimating Equations
โœ EMMANUEL PARADIS; JULIEN CLAUDE ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 192 KB

It is widely acknowledged that the analysis of comparative data from related species should be performed taking into account their phylogenetic relationships. We introduce a new method, based on the use of generalized estimating equations (GEE), for the analysis of comparative data. The principle is

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

Use of generalized estimating equations
Use of generalized estimating equations in segregation analysis of continuous outcomes
โœ Dr. Daniel O. Stram; Hang Lee; Duncan C. Thomas ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 252 KB

The use of generalized estimating equations (GEE) [Liang and Zeger, 19861 is explored as a potential alternative to maximum likelihood methods for segregation analysis of continuous phenotypes. We discuss the number of sample moments required by GEE to estimate parameters in simple major gene models