Bayesian Analysis for Multiple-baseline Studies Where the Variance Differs across Cases in OpenBUGS.
Objective: There is a growing interest in the potential benefits of applying Bayesian estimation for multilevel models of SCED data. Methodological studies have shown that Bayesian estimation resolves convergence issues, can be adequate for the small sample, and can improve the accuracy of the varia...
| Publicado en: | Developmental Neurorehabilitation Vol. 24; no. 2; pp. 130 - 144 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Feb2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148181177&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148181177 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17518423 2Y75 jtl: Developmental Neurorehabilitation issn: 17518423 maglogo: Y pubinfo: dt: Feb2021 vid: 24 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 148181177 147885224 148181177 148181177 10.1080/17518423.2020.1858455 148181177 ppf: 130 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Bayesian Analysis for Multiple-baseline Studies Where the Variance Differs across Cases in OpenBUGS. aug: au: Baek, Eunkyeng Ferron, John M. affil: Texas A&M University, College Station, TX, USA sug: subj: Case Studies Evaluation Probability Utilization Software Utilization Access to Information Validity Human Methodological Research ab: Objective: There is a growing interest in the potential benefits of applying Bayesian estimation for multilevel models of SCED data. Methodological studies have shown that Bayesian estimation resolves convergence issues, can be adequate for the small sample, and can improve the accuracy of the variance components. Despite the potential benefits, the lack of accessibility to software codes makes it difficult for applied researchers to implement Bayesian estimation in their studies. The purpose of this article is to illustrate a feasible way to implement Bayesian estimation using OpenBUGS software to analyze a complex SCED model where within-participants variability and autocorrelation may differ across cases. Method: By using extracted data from a published study, step-by-step guidance in analyzing the data using OpenBUGS software is provided, including (1) model specification, (2) prior distributions, (3) data entering, (4) model estimation, (5) convergence criteria, and (6) posterior inferences and interpretations. Result: Full codes for the analysis are provided. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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