Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis

Detalhes bibliográficos
Autor(a) principal: Neyeloff, Jeruza Lavanholi
Data de Publicação: 2012
Outros Autores: Fuchs, Sandra Cristina Pereira Costa, Moreira, Leila Beltrami
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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spelling 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.
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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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