The Development of Web-based Graphical User Interface for Unified Modeling Data with Multi (Correlated) Responses
Statistical models have been developed rapidly into various directions to accommodate various types of data. Data collected from longitudinal, repeated measured, clustered data (either continuous, binary, count, or ordinal), are more likely to be correlated. Therefore statistical model for independe...
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Published in | Journal of physics. Conference series Vol. 1008; no. 1; pp. 12003 - 12010 |
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Format | Journal Article |
Language | English |
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Bristol
IOP Publishing
01.04.2018
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Abstract | Statistical models have been developed rapidly into various directions to accommodate various types of data. Data collected from longitudinal, repeated measured, clustered data (either continuous, binary, count, or ordinal), are more likely to be correlated. Therefore statistical model for independent responses, such as Generalized Linear Model (GLM), Generalized Additive Model (GAM) are not appropriate. There are several models available to apply for correlated responses including GEEs (Generalized Estimating Equations), for marginal model and various mixed effect model such as GLMM (Generalized Linear Mixed Models) and HGLM (Hierarchical Generalized Linear Models) for subject spesific models. These models are available on free open source software R, but they can only be accessed through command line interface (using scrit). On the othe hand, most practical researchers very much rely on menu based or Graphical User Interface (GUI). We develop, using Shiny framework, standard pull down menu Web-GUI that unifies most models for correlated responses. The Web-GUI has accomodated almost all needed features. It enables users to do and compare various modeling for repeated measure data (GEE, GLMM, HGLM, GEE for nominal responses) much more easily trough online menus. This paper discusses the features of the Web-GUI and illustrates the use of them. In General we find that GEE, GLMM, HGLM gave very closed results. |
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AbstractList | Statistical models have been developed rapidly into various directions to accommodate various types of data. Data collected from longitudinal, repeated measured, clustered data (either continuous, binary, count, or ordinal), are more likely to be correlated. Therefore statistical model for independent responses, such as Generalized Linear Model (GLM), Generalized Additive Model (GAM) are not appropriate. There are several models available to apply for correlated responses including GEEs (Generalized Estimating Equations), for marginal model and various mixed effect model such as GLMM (Generalized Linear Mixed Models) and HGLM (Hierarchical Generalized Linear Models) for subject spesific models. These models are available on free open source software R, but they can only be accessed through command line interface (using scrit). On the othe hand, most practical researchers very much rely on menu based or Graphical User Interface (GUI). We develop, using Shiny framework, standard pull down menu Web-GUI that unifies most models for correlated responses. The Web-GUI has accomodated almost all needed features. It enables users to do and compare various modeling for repeated measure data (GEE, GLMM, HGLM, GEE for nominal responses) much more easily trough online menus. This paper discusses the features of the Web-GUI and illustrates the use of them. In General we find that GEE, GLMM, HGLM gave very closed results. |
Author | Made Tirta, I Anggraeni, Dian |
Author_xml | – sequence: 1 givenname: I surname: Made Tirta fullname: Made Tirta, I email: itirta.fmipa@unej.ac.id organization: Mathematics of Department, University of Jember , Indonesia – sequence: 2 givenname: Dian surname: Anggraeni fullname: Anggraeni, Dian organization: Mathematics of Department, University of Jember , Indonesia |
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Cites_doi | 10.1111/j.2517-6161.1996.tb02105.x 10.1007/978-0-387-98141-3 10.1093/biomet/73.1.13 10.32614/RJ-2010-009 10.18637/jss.v064.i08 10.1002/sim.1650 10.18637/jss.v067.i01 |
ContentType | Journal Article |
Copyright | Published under licence by IOP Publishing Ltd 2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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SubjectTerms | Correlation Freeware Generalized linear models Graphical user interface Line interfaces Physics Statistical models User interface |
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