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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Dear all,</span><br>
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<span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif">Hope everyone is having a nice start to the week!</span><br>
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<span style="font-size: 12pt; font-family: Calibri, Helvetica, sans-serif; color: rgb(0, 0, 0);">At the S3RI seminar this Thursday (16 December) at 2 PM, Dr Derek Young</span><span style="font-family:Calibri,Helvetica,sans-serif; font-size:12pt">&nbsp;(University
 of Kentucky) will give&nbsp;</span><span style="font-size: 12pt; font-family: Calibri, Helvetica, sans-serif; color: rgb(0, 0, 0);">a talk on</span><br>
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<span style="margin: 0px; font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">&quot;</span><span style="margin: 0px; font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Hyperrectangular Tolerance and
 Prediction Regions for Setting Multivariate Reference Regions in Laboratory Medicine.</span><span style="margin: 0px; font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">&quot;</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">P</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">lease see below for the details of the talk and how to
 join the seminar online.</span></div>
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<span style="margin: 0px; font-size: 12pt; font-family: Calibri, Helvetica, sans-serif; background-color: white; color: rgb(0, 0, 0);">&nbsp;</span><span style="margin: 0px; font-size: 12pt; font-family: &quot;Times New Roman&quot;, serif; color: black;"></span></p>
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<span style="margin: 0px; font-size: 12pt; font-family: Calibri, Helvetica, sans-serif; background-color: white; color: rgb(0, 0, 0);">Have a good week, and hope to see you at the seminar on Thursday!</span><span style="margin: 0px; font-size: 12pt; font-family: &quot;Times New Roman&quot;, serif; color: black;"></span></p>
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<span style="margin: 0px; font-size: 12pt; font-family: Calibri, Helvetica, sans-serif; background-color: white; color: rgb(0, 0, 0);">Kind regards,</span><span style="margin: 0px; font-size: 12pt; font-family: &quot;Times New Roman&quot;, serif; color: black;"></span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"><b><i>Hyperrectangular Tolerance and Prediction Regions for Setting Multivariate Reference Regions in Laboratory Medicine</i></b></span><br>
<span style="margin: 0px; font-size: 12pt; font-family: Calibri, Helvetica, sans-serif; color: rgb(0, 0, 0);">Derek Young</span><span style="margin: 0px; font-size: 12pt; font-family: Calibri, Helvetica, sans-serif; color: rgb(0, 0, 0);">&nbsp;(University of Kentucky)</span><br>
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<div style="margin:0px"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Reference regions are widely used in clinical chemistry and laboratory medicine to interpret the results of biochemical or physiological tests of patients. There
 are well-established methods in the literature for reference limits for univariate measurements, however, only limited methods are available for the construction of multivariate reference regions. This is because traditional multivariate statistical regions
 (e.g., confidence, prediction, and tolerance regions) are not constructed based on a hyperrectangular geometry. We address this problem by developing multivariate hyperrectangular nonparametric tolerance regions for setting the reference regions. Our approach
 utilizes statistical data depth to determine which points to trim and then the extremes of the trimmed dataset are used as the faces of the hyperrectangular region. Extensive coverage results show the favorable performance of our algorithm, provided a minimum
 sample size criterion is met. Our procedure is used to obtain reference regions for addressing two important clinical problems: (1) characterizing insulin-like growth factor concentrations in the serum of adults and (2) assessing kidney function in adolescents.</span><span style="font-family:Calibri,Helvetica,sans-serif; font-size:12pt"></span><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif"></span><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif; font-size:12pt"></span><span style="font-size:15px"><br>
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<span style="font-family:Calibri,Helvetica,sans-serif; font-size:12pt; letter-spacing:0.15pt">&lt;Details for joining S3RI&nbsp;team on Microsoft Teams&gt;</span><br>
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