The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers

Statistical modeling (regression analyses) have been growing rapidly into various directions to accommodate various data conditions. For longitudinal or repeated measures data, one of the suitable models is GEE (Generalized Estimating Equation). In practice, to do complex modeling such as GEE, the u...

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Main Authors: Made Tirta, Dian Anggraeni
Format: Article
Language:English
Published: Fakultas MIPA Universitas Jember 2018-02-01
Series:Jurnal Ilmu Dasar
Online Access:https://jurnal.unej.ac.id/index.php/JID/article/view/6997
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author Made Tirta
Dian Anggraeni
author_facet Made Tirta
Dian Anggraeni
author_sort Made Tirta
collection DOAJ
description Statistical modeling (regression analyses) have been growing rapidly into various directions to accommodate various data conditions. For longitudinal or repeated measures data, one of the suitable models is GEE (Generalized Estimating Equation). In practice, to do complex modeling such as GEE, the use of statistical software is necessary and it is available on free open source software R. However, GEE modeling on R can only be access through command line interface (CLI), and most practical researchers very much rely on Graphical User Interface (GUI) based statistics software. To make access to GEE (both order 1 and 2) much easier, we developed, using Shiny toolkit, two types of web-based GUI, standard pull down menu type and e-module type (with narrative theories) that can be utilized for learning and fitting GEE. This paper discusses the features of the interfaces and illustrates the use of them. Keywords: longitudinal data, Generalized Estimating Equation (GEE), exponential families, statistical modeling, correlated response, nonparametric, natural splines, shiny toolkit
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spelling doaj.art-87e848417fbf4702b731aa65c850dd1b2022-12-22T02:40:31ZengFakultas MIPA Universitas JemberJurnal Ilmu Dasar1411-57352442-56132018-02-01191637010.19184/jid.v19i1.69976997The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline SmoothersMade Tirta0Dian Anggraeni1Mathematics Department, The University of Jember, Jember, IndonesiaMathematics Department, The University of Jember, Jember, IndonesiaStatistical modeling (regression analyses) have been growing rapidly into various directions to accommodate various data conditions. For longitudinal or repeated measures data, one of the suitable models is GEE (Generalized Estimating Equation). In practice, to do complex modeling such as GEE, the use of statistical software is necessary and it is available on free open source software R. However, GEE modeling on R can only be access through command line interface (CLI), and most practical researchers very much rely on Graphical User Interface (GUI) based statistics software. To make access to GEE (both order 1 and 2) much easier, we developed, using Shiny toolkit, two types of web-based GUI, standard pull down menu type and e-module type (with narrative theories) that can be utilized for learning and fitting GEE. This paper discusses the features of the interfaces and illustrates the use of them. Keywords: longitudinal data, Generalized Estimating Equation (GEE), exponential families, statistical modeling, correlated response, nonparametric, natural splines, shiny toolkithttps://jurnal.unej.ac.id/index.php/JID/article/view/6997
spellingShingle Made Tirta
Dian Anggraeni
The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers
Jurnal Ilmu Dasar
title The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers
title_full The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers
title_fullStr The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers
title_full_unstemmed The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers
title_short The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers
title_sort development of web based graphical user interface for learning and fitting generalized estimating equation with spline smoothers
url https://jurnal.unej.ac.id/index.php/JID/article/view/6997
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