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<DIV><FONT face=Calibri><SPAN class=apple-style-span><B
style="mso-bidi-font-weight: normal"><U><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'; FONT-SIZE: 18pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: pt-br; mso-fareast-language: pt-br; mso-bidi-language: ar-sa">Seminário
Conjunto UFSCar/ICMC – 10/10/2014 - 14h00</SPAN></U></B></SPAN></FONT></DIV>
<DIV><FONT face=Calibri><SPAN class=apple-style-span><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'; FONT-SIZE: 18pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: pt-br; mso-fareast-language: pt-br; mso-bidi-language: ar-sa"><FONT
size=3><SPAN><STRONG><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'"></SPAN></STRONG></SPAN></FONT></SPAN></SPAN></FONT> </DIV>
<DIV><FONT face=Calibri><SPAN class=apple-style-span><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'; FONT-SIZE: 18pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: pt-br; mso-fareast-language: pt-br; mso-bidi-language: ar-sa"><FONT
size=3><SPAN><STRONG><SPAN style="FONT-FAMILY: 'Arial','sans-serif'">LOCAL:
Auditório Prof. Luiz Antonio Fávaro – Bloco 4 -
</SPAN>ICMC-USP</STRONG></SPAN><SPAN> <STRONG><SPAN
style="mso-spacerun: yes"> </SPAN><o:p></o:p></STRONG></SPAN></FONT></DIV>
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class=MsoNormal><SPAN><STRONG><FONT size=3><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'"></SPAN></FONT></STRONG></SPAN> </P>
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class=MsoNormal><SPAN><STRONG><FONT size=3><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'">TÍTULO</SPAN>: <SPAN
class=apple-style-span>Multivariate Survival Mixed Models for Genetic Analysis
of Longevity Traits<o:p></o:p></SPAN></FONT></STRONG></SPAN></P>
<P style="LINE-HEIGHT: 13.5pt"><SPAN><STRONG><FONT size=3><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'">PALESTRANTE</SPAN>: <SPAN
class=apple-style-span>Rafael P. Maia -
ESALQ/USP</SPAN><o:p></o:p></FONT></STRONG></SPAN></P>
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class=MsoNormal><STRONG><FONT size=3><SPAN><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'">RESUMO</SPAN>: </SPAN><BR><BR><SPAN
class=apple-style-span><SPAN style="FONT-FAMILY: 'Arial','sans-serif'">A class
of multivariate mixed survival models for continuous and discrete time with a
complex covariance structure is introduced in a context of quantitative genetic
applications. The methods introduced can be used in many applications in
quantitative genetics although the discussion presented concentrates on
longevity studies. The framework presented allows to combine models based on
continuous time with models based on discrete time in a joint analysis. The
continuous time models are approximations of the frailty model in which the
baseline hazard function will be assumed to be piece-wise constant. The discrete
time models used are multivariate variants of the discrete relative risk models.
These models allow for regular parametric likelihood-based inference by
exploring a coincidence of their likelihood functions and the likelihood
functions of suitably defined multivariate generalized linear mixed models. The
models include a dispersion parameter, which is essential for obtaining a
decomposition of the variance of the trait of interest as a sum of parcels
represent- ing the additive genetic effects, environmental effects and
unspecified sources of variability; as required in quantitative genetic
applications. The methods presented are implemented in such a way that large and
complex quantitative genetic data can be analysed.
<o:p></o:p></SPAN></SPAN></FONT></STRONG></P>
<P style="TEXT-ALIGN: justify; MARGIN: 0cm 0cm 0pt; mso-layout-grid-align: none"
class=MsoNormal><SPAN class=apple-style-span><STRONG><SPAN
style="FONT-FAMILY: 'Arial','sans-serif'"><FONT size=3>(*) Joint work with Per
Madsen and Rodrigo Labouriau (Aarhus University,
Denmark)</FONT></SPAN><o:p></o:p></STRONG></SPAN></P></SPAN></SPAN></FONT></DIV>
<DIV><FONT face=Calibri><SPAN class=apple-style-span><B
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