Supplementary materials [Code] to: A tutorial for meta-analysis of diagnostic tests for low- prevalence diseases: Bayesian models and software
Author(s) / Creator(s)
Pambabay-Calero, Johny J.
Bauz-Olvera, Sergio A.
Nieto-Librero, Ana B.
Galindo-Villardón, Maria Purificación
Sánchez-García, Ana B.
Abstract / Description
Supplementary materials [Code] to: Pambabay-Calero, J. J., Bauz-Olvera, S. A., Nieto-Librero, A. B., Galindo-Villardón, M. P., & Sánchez-García, A. B. (2020). A tutorial for meta-analysis of diagnostic tests for low- prevalence diseases: Bayesian models and software. Methodology, 16(3), 258-277. https://doi.org/10.5964/meth.4015
Keyword(s)
bivariate models heterogeneity meta-analysis statistical softwarePersistent Identifier
Date of first publication
2020
Publisher
PsychOpen GOLD
Is referenced by
Citation
Pambabay-Calero, J. J., Bauz-Olvera, S. A., Nieto-Librero, A. B., Galindo-Villardón, M. P., & Sánchez-García, A. B. (2020). Supplementary materials [Code] to: A tutorial for meta-analysis of diagnostic tests for low- prevalence diseases: Bayesian models and software. PsychOpen. https://doi.org/10.23668/psycharchives.3485
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Pambabay_Calero_et_al_2020_A_Tutorial_for_Meta_Analysis_of_Diagnostic_Tests_for_Low_Prevalence_Diseases_SUPPL_Scripts.zipUnknown - 42.53KBMD5: a9809fd414454c0acd025fba3515d5ebDescription: Sripts in R, Scripts in Stata, Scripts in SAS
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There are no other versions of this object.
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Author(s) / Creator(s)Pambabay-Calero, Johny J.en
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Author(s) / Creator(s)Bauz-Olvera, Sergio A.en
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Author(s) / Creator(s)Nieto-Librero, Ana B.en
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Author(s) / Creator(s)Galindo-Villardón, Maria Purificaciónen
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Author(s) / Creator(s)Sánchez-García, Ana B.en
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PsychArchives acquisition timestamp2020-09-24T14:14:02Z
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Made available on2020-09-24T14:14:02Z
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Date of first publication2020
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Abstract / DescriptionSupplementary materials [Code] to: Pambabay-Calero, J. J., Bauz-Olvera, S. A., Nieto-Librero, A. B., Galindo-Villardón, M. P., & Sánchez-García, A. B. (2020). A tutorial for meta-analysis of diagnostic tests for low- prevalence diseases: Bayesian models and software. Methodology, 16(3), 258-277. https://doi.org/10.5964/meth.4015en_US
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Table of contentsScripts in R: script_1.R (foresplot, crosshair and RocEllipse); script_2.R (models DSL, MH and PHM); script_3.R (model Reitsma); script_4.R (model HSROC) Script in Stata: cript_stata.do Scripts in SAS: ejecHSROC.sas; metadas.sas; data_set.csv
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CitationPambabay-Calero, J. J., Bauz-Olvera, S. A., Nieto-Librero, A. B., Galindo-Villardón, M. P., & Sánchez-García, A. B. (2020). Supplementary materials [Code] to: A tutorial for meta-analysis of diagnostic tests for low- prevalence diseases: Bayesian models and software. PsychOpen. https://doi.org/10.23668/psycharchives.3485en_US
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/3100
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.3485
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Language of contentengen_US
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PublisherPsychOpen GOLDen_US
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Is referenced byhttps://doi.org/10.5964/meth.4015
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Is related tohttps://hdl.handle.net/20.500.12034/5696
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Keyword(s)bivariate modelsen_US
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Keyword(s)heterogeneityen_US
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Keyword(s)meta-analysisen_US
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Keyword(s)statistical softwareen_US
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Dewey Decimal Classification number(s)150
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TitleSupplementary materials [Code] to: A tutorial for meta-analysis of diagnostic tests for low- prevalence diseases: Bayesian models and softwareen_US
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DRO typecodeen_US