Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/109956 |
Resumo: | Background: Meta-analyses are necessary to synthesize data obtained from primary research, and in many situations reviews of observational studies are the only available alternative. General purpose statistical packages can meta-analyze data, but usually require external macros or coding. Commercial specialist software is available, but may be expensive and focused in a particular type of primary data. Most available softwares have limitations in dealing with descriptive data, and the graphical display of summary statistics such as incidence and prevalence is unsatisfactory. Analyses can be conducted using Microsoft Excel, but there was no previous guide available. Findings: We constructed a step-by-step guide to perform a meta-analysis in a Microsoft Excel spreadsheet, using either fixed-effect or random-effects models. We have also developed a second spreadsheet capable of producing customized forest plots. Conclusions: It is possible to conduct a meta-analysis using only Microsoft Excel. More important, to our knowledge this is the first description of a method for producing a statistically adequate but graphically appealing forest plot summarizing descriptive data, using widely available software. |
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Neyeloff, Jeruza LavanholiFuchs, Sandra Cristina Pereira CostaMoreira, Leila Beltrami2015-02-11T02:18:02Z20121756-0500http://hdl.handle.net/10183/109956000857388Background: Meta-analyses are necessary to synthesize data obtained from primary research, and in many situations reviews of observational studies are the only available alternative. General purpose statistical packages can meta-analyze data, but usually require external macros or coding. Commercial specialist software is available, but may be expensive and focused in a particular type of primary data. Most available softwares have limitations in dealing with descriptive data, and the graphical display of summary statistics such as incidence and prevalence is unsatisfactory. Analyses can be conducted using Microsoft Excel, but there was no previous guide available. Findings: We constructed a step-by-step guide to perform a meta-analysis in a Microsoft Excel spreadsheet, using either fixed-effect or random-effects models. We have also developed a second spreadsheet capable of producing customized forest plots. Conclusions: It is possible to conduct a meta-analysis using only Microsoft Excel. More important, to our knowledge this is the first description of a method for producing a statistically adequate but graphically appealing forest plot summarizing descriptive data, using widely available software.application/pdfengBMC research notes. London. Vol. 5, ( 20 Jan. 2012), p. 52 [6 p.]MetanáliseSoftware estatísticoRevisão sistemáticaMeta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysisEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000857388.pdf000857388.pdfTexto completo (inglês)application/pdf2074691http://www.lume.ufrgs.br/bitstream/10183/109956/1/000857388.pdfeaf31ab3b7d0cec695517b5aac49314fMD51TEXT000857388.pdf.txt000857388.pdf.txtExtracted Texttext/plain23386http://www.lume.ufrgs.br/bitstream/10183/109956/2/000857388.pdf.txt89be32a6c545967d83092ab6f8583cb2MD52THUMBNAIL000857388.pdf.jpg000857388.pdf.jpgGenerated Thumbnailimage/jpeg2012http://www.lume.ufrgs.br/bitstream/10183/109956/3/000857388.pdf.jpgb358cd02195c27e323543a5850994ec6MD5310183/1099562019-01-17 04:24:53.37245oai:www.lume.ufrgs.br:10183/109956Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2019-01-17T06:24:53Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis |
title |
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis |
spellingShingle |
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis Neyeloff, Jeruza Lavanholi Metanálise Software estatístico Revisão sistemática |
title_short |
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis |
title_full |
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis |
title_fullStr |
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis |
title_full_unstemmed |
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis |
title_sort |
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis |
author |
Neyeloff, Jeruza Lavanholi |
author_facet |
Neyeloff, Jeruza Lavanholi Fuchs, Sandra Cristina Pereira Costa Moreira, Leila Beltrami |
author_role |
author |
author2 |
Fuchs, Sandra Cristina Pereira Costa Moreira, Leila Beltrami |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Neyeloff, Jeruza Lavanholi Fuchs, Sandra Cristina Pereira Costa Moreira, Leila Beltrami |
dc.subject.por.fl_str_mv |
Metanálise Software estatístico Revisão sistemática |
topic |
Metanálise Software estatístico Revisão sistemática |
description |
Background: Meta-analyses are necessary to synthesize data obtained from primary research, and in many situations reviews of observational studies are the only available alternative. General purpose statistical packages can meta-analyze data, but usually require external macros or coding. Commercial specialist software is available, but may be expensive and focused in a particular type of primary data. Most available softwares have limitations in dealing with descriptive data, and the graphical display of summary statistics such as incidence and prevalence is unsatisfactory. Analyses can be conducted using Microsoft Excel, but there was no previous guide available. Findings: We constructed a step-by-step guide to perform a meta-analysis in a Microsoft Excel spreadsheet, using either fixed-effect or random-effects models. We have also developed a second spreadsheet capable of producing customized forest plots. Conclusions: It is possible to conduct a meta-analysis using only Microsoft Excel. More important, to our knowledge this is the first description of a method for producing a statistically adequate but graphically appealing forest plot summarizing descriptive data, using widely available software. |
publishDate |
2012 |
dc.date.issued.fl_str_mv |
2012 |
dc.date.accessioned.fl_str_mv |
2015-02-11T02:18:02Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
format |
article |
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publishedVersion |
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1756-0500 |
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000857388 |
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http://hdl.handle.net/10183/109956 |
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eng |
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dc.relation.ispartof.pt_BR.fl_str_mv |
BMC research notes. London. Vol. 5, ( 20 Jan. 2012), p. 52 [6 p.] |
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openAccess |
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