<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Muito bom.<div class=""><br class=""></div><div class="">Vale a pena complementar a leitura com esse artigo do Briggs no JASA: <a href="https://doi.org/10.1080/01621459.2017.1311264" class="">https://doi.org/10.1080/01621459.2017.1311264</a> (um adendo ao famoso McShane & Gal (2016)).</div><div class=""><br class=""></div><div class="">Para citar apenas a primeira sentença do artigo, "There are no good reasons nor good ways to use p-values". Ao que eu acrescento, parafraseando o Nassim N. Taleb: "Statistics is hard. Very hard".</div><div><br class=""><blockquote type="cite" class=""><div class="">Em 22 de mar de 2019, à(s) 19:22, Jan Sousa <<a href="mailto:jan.sousa@gmail.com" class="">jan.sousa@gmail.com</a>> escreveu:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class=""><div class="">Boa leitura...</div><div class=""><br class=""></div><div dir="ltr" class=""><a href="https://www.nature.com/articles/d41586-019-00857-9?fbclid=IwAR28bbFeOubkHYJQfSzULo_alxHLB1J4bWdYvaImLKVNGl7yNduhjB0H8uA" class="">https://www.nature.com/articles/d41586-019-00857-9?fbclid=IwAR28bbFeOubkHYJQfSzULo_alxHLB1J4bWdYvaImLKVNGl7yNduhjB0H8uA</a><br class=""></div><div dir="ltr" class=""><br class=""></div><div dir="ltr" class=""><br class=""></div></div>
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