A SAS/IML software program for GEE and regression diagnostics
type: Item
instance of: scholarly article
title: A SAS/IML software program for GEE and regression diagnostics
zbMATH Open document ID: 1157.62466
author: Bradley G. Hammill
author: John S. Preisser
published in: Computational Statistics and Data Analysis
publication date: 2009-04-06T00:00:00Z
Mathematics Subject Classification ID: 62J20
Mathematics Subject Classification ID: 62-04
zbMATH DE Number: 5540487
zbMATH Keywords: Cook's distance
zbMATH Keywords: generalized estimating equations
zbMATH Keywords: leverage
zbMATH Keywords: logistic regression
zbMATH Keywords: Poisson regression
describes a project that uses: SAS/IML
describes a project that uses: SAS
MaRDI profile type: Publication
full work available at URL: j.csda.2005.11.016
OpenAlex ID: W2003629562
cites work: Q3938378
cites work: Efficiency of Generalized Estimating Equations for Binary Responses
cites work: Detection of Influential Observation in Linear Regression
cites work: Theory & Methods: Modelling Correlated Zero‐inflated Count Data
cites work: Generalized linear mixture models for handling nonignorable dropouts in longitudinal studies
cites work: Generalized Estimating Equations
cites work: A Note on the Efficiency of Sandwich Covariance Matrix Estimation
cites work: Modified GEE and Goodness of the Marginal Fit (GOMF) Test with Correlated Binary Responses for Contingency Tables
cites work: Longitudinal data analysis using generalized linear models
cites work: Q4779059
cites work: A Covariance Estimator for GEE with Improved Small‐Sample Properties
cites work: Q3998435
cites work: Logistic regression diagnostics
cites work: Alternative computational formulae for generalized linear model diagnostics: identifying influential observations with SAS software
cites work: Deletion diagnostics for generalised estimating equations
cites work: Robust Regression for Clustered Data with Application to Binary Responses
cites work: Analysis of Smoking Trends with Incomplete Longitudinal Binary Responses
cites work: Correlated Binary Regression with Covariates Specific to Each Binary Observation
cites work: A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
cites work: Use of Quasi-Least Squares to Adjust for Two Levels of Correlation
cites work: Q4885418
DOI: 10.1016/J.CSDA.2005.11.016
description: scientific article; zbMATH DE number 5540487