<div><div>Muito obrigado</div><div><br/></div><div><font style="color:#333333"><i>Conectado pela Motorola</i></font></div></div><br><br>Tito Conte <tito.conte@gmail.com> escreveu:<br><br><div dir="ltr">Achei isso:<br><br><span style="color:rgb(51,51,51);font-family:verdana,arial,tahoma,calibri,geneva,sans-serif;font-size:13px;background-color:rgb(250,250,250)">"I'm pretty sure Dunnett's Test is for parametric data only. You can use Mann Whitney follow up tests and just divide alpha by how many follow ups you need to run to take a conservative approach."</span><br></div><div class="gmail_extra"><br clear="all"><div><div class="gmail_signature" data-smartmail="gmail_signature">Tito Conte<br><br></div></div>
<br><div class="gmail_quote">2016-10-03 13:24 GMT-03:00 Luiz Leal via R-br <span dir="ltr"><<a href="mailto:r-br@listas.c3sl.ufpr.br" target="_blank">r-br@listas.c3sl.ufpr.br</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div style="color:#000;background-color:#fff;font-family:HelveticaNeue,Helvetica Neue,Helvetica,Arial,Lucida Grande,sans-serif;font-size:16px"><div id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4071">Boa tarde a todos.</div><div id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4071">Alguém sabe se existe uma "alternativa não-paramétrica" para o teste de Dunnett?</div><div id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4071">Desde já agradeço</div><div id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4071">Luiz<br></div><div id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4071"><br></div><div id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4071">...</div><div id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4071" dir="ltr"><b style="color:rgb(37,37,37);font-family:sans-serif;font-size:14px;line-height:22.4px" id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4168">Dunnett's test</b><span style="color:rgb(37,37,37);font-family:sans-serif;font-size:14px;line-height:22.4px" id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4169"> is a </span><a href="https://en.wikipedia.org/wiki/Multiple_comparisons" title="Multiple comparisons" style="text-decoration:none;color:rgb(11,0,128);font-family:sans-serif;font-size:14px;line-height:22.4px;background-image:none;background-color:rgb(255,255,255)" id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4170" target="_blank">multiple comparison</a><span style="color:rgb(37,37,37);font-family:sans-serif;font-size:14px;line-height:22.4px" id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4171"> procedure </span><span style="color:rgb(37,37,37);font-family:sans-serif;font-size:14px;line-height:22.4px" id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4178">to compare each of a number of treatments with a single control.</span><br></div><div id="m_-6038578613551323912yui_3_16_0_ym19_1_1475511660820_4071" dir="ltr"><span style="color:rgb(37,37,37);font-family:sans-serif;font-size:14px;line-height:22.4px">...</span></div></div></div><br>______________________________<wbr>_________________<br>
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