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Bibliographic Details
Main Authors: Padgett, R. Noah, Chen, Ying
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2406.07651
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author Padgett, R. Noah
Chen, Ying
author_facet Padgett, R. Noah
Chen, Ying
contents surveygenmod2 builds on the macro written by da Silva (2017) for generalized linear models under complex survey designs. The updated macro fixed several minor bugs we encountered while updating the macro for use in SAS\textregistered. We added additional features for conducting basic Wald-type tests on groups of parameters based on the estimated regression coefficients and parameter variance-covariance matrix.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07651
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle surveygenmod2: A SAS macro for estimating complex survey adjusted generalized linear models and Wald-type tests
Padgett, R. Noah
Chen, Ying
Methodology
Computation
surveygenmod2 builds on the macro written by da Silva (2017) for generalized linear models under complex survey designs. The updated macro fixed several minor bugs we encountered while updating the macro for use in SAS\textregistered. We added additional features for conducting basic Wald-type tests on groups of parameters based on the estimated regression coefficients and parameter variance-covariance matrix.
title surveygenmod2: A SAS macro for estimating complex survey adjusted generalized linear models and Wald-type tests
topic Methodology
Computation
url https://arxiv.org/abs/2406.07651