{"id":16120,"date":"2022-07-28T06:59:20","date_gmt":"2022-07-28T09:59:20","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/?p=16120"},"modified":"2024-12-05T16:09:24","modified_gmt":"2024-12-05T19:09:24","slug":"post-hoc-analysis","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/pt\/pos-analise\/","title":{"rendered":"An\u00e1lise P\u00f3s-Hoc: Processo e tipos de testes"},"content":{"rendered":"<p>H\u00e1 muitos dados que prov\u00eam de qualquer projeto de pesquisa, alguns dos quais s\u00e3o valiosos e outros n\u00e3o. Encontrar algo novo, inesperado ou confuso na pesquisa pode rapidamente se tornar esmagador. <\/p>\n\n\n\n<p>\u00c0s vezes voc\u00ea pode sair dos trilhos quando est\u00e1 sob press\u00e3o para cumprir um prazo. Evite se preocupar com esses resultados n\u00e3o intencionais uma vez que sua pesquisa atual esteja conclu\u00edda, excluindo-os da considera\u00e7\u00e3o.<\/p>\n\n\n\n<p>Na an\u00e1lise post-hoc, voc\u00ea n\u00e3o est\u00e1 analisando todos os resultados aleat\u00f3rios de um experimento. \u00c9 importante procurar por padr\u00f5es quando voc\u00ea observa algo que merece uma observa\u00e7\u00e3o atenta e um estudo mais aprofundado para ajud\u00e1-lo a entender melhor o conceito. <\/p>\n\n\n\n<p>Ap\u00f3s uma an\u00e1lise post-hoc, mais informa\u00e7\u00f5es podem ser obtidas e aprofundadas em sua base tem\u00e1tica. Vamos dar uma olhada mais detalhada na an\u00e1lise p\u00f3s-hoc.<\/p>\n\n\n\n<h2><strong>An\u00e1lise post-hoc: o que \u00e9 isso?<\/strong><\/h2>\n\n\n\n<p>Em latim, post hoc significa \"depois disto\", ou seja, analisar os dados experimentais depois. <\/p>\n\n\n\n<p>O objetivo de uma an\u00e1lise post-hoc \u00e9 encontrar padr\u00f5es ap\u00f3s a conclus\u00e3o do estudo, e encontrar resultados que n\u00e3o fossem o objetivo principal. Assim, todas as an\u00e1lises realizadas ap\u00f3s a conclus\u00e3o de um experimento que n\u00e3o foram pr\u00e9-planejadas s\u00e3o consideradas an\u00e1lises post-hoc. <\/p>\n\n\n\n<p>Os dados que j\u00e1 foram coletados s\u00e3o utilizados em um estudo post-hoc. Os pesquisadores analisam estes dados para desenvolver novos prop\u00f3sitos, que n\u00e3o estavam no desenho do experimento. Portanto, estudos p\u00f3s-hoc podem ser realizados em dados agregados de experimentos anteriores.&nbsp;<\/p>\n\n\n\n<p>O processo de realizar an\u00e1lises post-hoc \u00e9 freq\u00fcentemente sobrecarregado com tempo, mas oferece uma s\u00e9rie de vantagens. Para descobrir informa\u00e7\u00f5es valiosas, use uma prud\u00eancia razo\u00e1vel e n\u00e3o superestime resultados inesperados. Isto pode ser um sinal de algo significativo, mesmo que seja uma ocorr\u00eancia casual.<\/p>\n\n\n\n<p>As an\u00e1lises p\u00f3s-hoc s\u00e3o \u00fateis ao investigar taxas de erro, avaliar a import\u00e2ncia das hip\u00f3teses, ou determinar se elas s\u00e3o estatisticamente significativas. <\/p>\n\n\n\n<p>Conduzir m\u00faltiplas tentativas ou divergir de sua linha principal de pesquisa aumenta o risco de erros e falsos positivos. \u00c9 aqui que o p\u00f3s-hoc desempenha um papel fundamental. Como isso funciona exatamente?&nbsp;<\/p>\n\n\n\n<h2><strong>An\u00e1lise post-hoc: como funciona?<\/strong><\/h2>\n\n\n\n<p>Ainda \u00e9 poss\u00edvel obter insights valiosos dos dados, mesmo que o objetivo principal n\u00e3o seja alcan\u00e7ado. Possivelmente os efeitos posteriores da droga e os dados sobre eles. Ou qualquer outra droga semelhante tamb\u00e9m pode valer a pena ser testada. <\/p>\n\n\n\n<p>A finalidade de uma an\u00e1lise post-hoc \u00e9 responder a perguntas ap\u00f3s a conclus\u00e3o do estudo, um objetivo que n\u00e3o foi declarado no estudo.<\/p>\n\n\n\n<p>A fim de determinar de onde vieram as diferen\u00e7as, um teste p\u00f3s-hoc \u00e9 usado ap\u00f3s encontrar um resultado estatisticamente significativo. Testes post-hoc podem ser usados para avaliar as diferen\u00e7as entre v\u00e1rios grupos, evitando ao mesmo tempo erros experimentais. V\u00e1rios testes p\u00f3s-hoc foram formulados, e a maioria deles produz resultados semelhantes.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/researcher.life\/all-access-pricing?utm_source=mtg&amp;utm_campaign=all-access-promotion&amp;utm_medium=blog\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"410\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner2-1024x410.png\" alt=\"\" class=\"wp-image-55426\" srcset=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner2-1024x410.png 1024w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner2-300x120.png 300w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner2-768x307.png 768w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner2-1536x615.png 1536w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner2-2048x820.png 2048w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner2-18x7.png 18w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner2-100x40.png 100w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h2><strong>Existem diferentes tipos de testes p\u00f3s-hoc<\/strong><\/h2>\n\n\n\n<p>Os dados coletados durante qualquer pesquisa ou ensaio cl\u00ednico podem ser analisados para detectar padr\u00f5es e diferentes fatores. Os testes p\u00f3s-hoc mais comuns s\u00e3o:<\/p>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>Procedimento Bonferroni:<\/strong> \u00c9 poss\u00edvel realizar m\u00faltiplos testes estat\u00edsticos ao mesmo tempo, utilizando esta corre\u00e7\u00e3o p\u00f3s-hoc de compara\u00e7\u00e3o m\u00faltipla.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong><strong>O novo teste de alcance m\u00faltiplo da Duncan (MRT):&nbsp; <\/strong><\/strong>O Teste de Faixa M\u00faltipla da Duncan identificar\u00e1 os pares de meios (de pelo menos tr\u00eas) que diferem.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>Teste de compara\u00e7\u00e3o m\u00faltipla da Dunn: <\/strong>Esta \u00e9 uma an\u00e1lise p\u00f3s-hoc que \u00e9 feita ap\u00f3s uma ANOVA, um teste n\u00e3o param\u00e9trico que n\u00e3o assume que seus dados seguem uma distribui\u00e7\u00e3o espec\u00edfica.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>A Diferen\u00e7a Menos Significativa de Fisher (LSD): <\/strong>Determina se dois meios s\u00e3o estatisticamente diferentes.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>Procedimento Holm-Bonferroni: <\/strong>O teste sequencial de Bonferroni de Holm torna as compara\u00e7\u00f5es m\u00faltiplas menos rigorosas.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li>Usando Newman-Keuls, \u00e9 poss\u00edvel identificar amostras que t\u00eam meios diferentes umas das outras. Newman-Keuls compara pares de meios usando diferentes valores cr\u00edticos. Como resultado, \u00e9 mais prov\u00e1vel que sejam encontradas diferen\u00e7as significativas.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>O m\u00e9todo de Rodger: <\/strong>Este m\u00e9todo estat\u00edstico \u00e9 usado para avaliar dados de pesquisa p\u00f3s-hoc ap\u00f3s uma an\u00e1lise 'multivariada'.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>M\u00e9todo de Scheff\u00e9:<\/strong> No m\u00e9todo de Scheffe, a estat\u00edstica do teste \u00e9 ajustada de forma diferente, dependendo do n\u00famero de compara\u00e7\u00f5es que foram feitas.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>O Teste de Tukey: <\/strong>O teste de Tukey determina se sua amostra consiste em grupos que diferem uns dos outros. Cada m\u00e9dia \u00e9 comparada com a m\u00e9dia de todos os outros grupos usando a \"Honest Significant Difference\", que representa qu\u00e3o distantes est\u00e3o os grupos.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>Corre\u00e7\u00e3o da Dunnett: <\/strong>Este teste p\u00f3s-hoc compara os meios. Em contraste com o de Tukey, ele compara cada meio com um meio de controle.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li><strong>Procedimento Benjamini-Hochberg (BH): <\/strong>Um resultado significativo s\u00f3 ocorrer\u00e1 por acaso se voc\u00ea realizar in\u00fameros testes. A taxa de falsas descobertas \u00e9 contabilizada por este teste p\u00f3s-hoc.<\/li>\n<\/ul>\n\n\n\n<h2><strong>Nada pode vencer uma pe\u00e7a visual impec\u00e1vel que entrega uma mensagem complexa<\/strong><\/h2>\n\n\n\n<p>Sim, isso mesmo, com a ajuda do visual, \u00e9 muito mais f\u00e1cil colocar os conceitos mais dif\u00edceis em perspectiva. Na era do visual, n\u00e3o \u00e9 de se admirar que voc\u00ea possa provavelmente entender a f\u00edsica qu\u00e2ntica de uma maneira muito mais simples, devido \u00e0 efic\u00e1cia dos gr\u00e1ficos.<\/p>\n\n\n\n<p>Voc\u00ea est\u00e1 se perguntando como come\u00e7ar? Por que se preocupar quando voc\u00ea tem o gr\u00e1fico na ponta de seus dedos! Conosco, voc\u00ea pode escolher entre mais de mil ilustra\u00e7\u00f5es em nossa galeria, e fazer cartazes usando o cartaz inteligente que desenvolvemos para voc\u00ea. Aproveite ao m\u00e1ximo a experi\u00eancia de nossa talentosa equipe e adapte-a \u00e0s suas necessidades. Para obter mais informa\u00e7\u00f5es, visite nossa galeria de <a href=\"https:\/\/mindthegraph.com\/\">website<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Tutorial | Criando um resumo gr\u00e1fico no Mind the Graph\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/r_aczJuec7Y?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Entenda o que \u00e9 an\u00e1lise post-hoc e como encontrar dados e padr\u00f5es valiosos ap\u00f3s a conclus\u00e3o do estudo.<\/p>","protected":false},"author":4,"featured_media":16133,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[38],"tags":[872,873,554,962],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Post Hoc Analysis: Process and types of tests<\/title>\n<meta name=\"description\" content=\"Understand what is post-hoc analysis and how to find valuable data and patterns after the study has been completed.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/pt\/pos-analise\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Post Hoc Analysis: Process and types of tests\" \/>\n<meta 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He has a Ph.D. and solid scientific background in Psychopharmacology and experience as a Guest Researcher at the Max Planck Institute of Psychiatry (Germany) and Researcher in D'Or Institute for Research and Education (IDOR, Brazil). Fabricio holds over 2500 citations in Google Scholar. He has 10 years of experience in small innovative businesses, with relevant experience in product design and innovation management. Connect with him on LinkedIn - Fabricio Pamplona.","sameAs":["http:\/\/mindthegraph.com","https:\/\/www.linkedin.com\/in\/fabriciopamplona"],"url":"https:\/\/mindthegraph.com\/blog\/pt\/author\/fabricio\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/posts\/16120"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/comments?post=16120"}],"version-history":[{"count":7,"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/posts\/16120\/revisions"}],"predecessor-version":[{"id":55781,"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/posts\/16120\/revisions\/55781"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/media\/16133"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/media?parent=16120"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/categories?post=16120"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/pt\/wp-json\/wp\/v2\/tags?post=16120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}