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[title] => [DTRC U Michigan Biostatistics and Economic Modeling Core]
[body] => [<div class="field field-type-text field-field-center"><div class="field-items"><div class="field-item">DRTC - University of Michigan</div></div></div><div class="field field-type-text field-field-objectives"><div class="field-items"><div class="field-item"><h2><a href="http://www.med.umich.edu/mdrtc/cores/BiostatCore/index.html">Biostatistics and Economic Modeling</a></h2>
<p> </p>
<p>The Biostatistics and Economic Modeling Core helps investigators make quantitative inferences about the causes, control and prevention of diabetes or other endocrine-related conditions by consulting and collaborating on research related to diabetes. The core provides experimental design, data management and data analysis.</p>
<p> </p>
<p><strong>Goals</strong></p>
<ul>
<li>Help investigators design their studies prior to submission of grant proposals to the National Institutes of Health or other funding agencies</li>
<li>Provide advice and assistance in the management of data</li>
<li>Provide assistance and training in performance of analyses when the statistical methods are routine</li>
<li>Design and perform appropriate statistical analyses when the analyses are not routine</li>
<li>Continue to develop a comprehensive economic model of type 2 diabetes and evaluate the cost-effectiveness of proposed interventions</li>
<li>Collaborate on the analysis of data from experiments using microarrays (i.e., data mining techniques)</li>
<li>Provide Web-based information dissemination and data collection</li>
<li>Provide infrastructure for investigators desiring to implement multi-center clinical trials</li>
<li>Develop novel biostatistical techniques that are necessary for the analysis of data when nonstandard techniques are necessary, or to implement new methodology that can be applied to recurring problems in diabetes research</li>
</ul>
<p> </p>
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<p>The Biostatistics and Economic Modeling Core helps investigators make quantitative inferences about the causes, control and prevention of diabetes or other endocrine-related conditions by consulting and collaborating on research related to diabetes. The core provides experimental design, data management and data analysis.</p>
<p> </p>
<p><strong>Goals</strong></p>
<ul>
<li>Help investigators design their studies prior to submission of grant proposals to the National Institutes of Health or other funding agencies</li>
<li>Provide advice and assistance in the management of data</li>
<li>Provide assistance and training in performance of analyses when the statistical methods are routine</li>
<li>Design and perform appropriate statistical analyses when the analyses are not routine</li>
<li>Continue to develop a comprehensive economic model of type 2 diabetes and evaluate the cost-effectiveness of proposed interventions</li>
<li>Collaborate on the analysis of data from experiments using microarrays (i.e., data mining techniques)</li>
<li>Provide Web-based information dissemination and data collection</li>
<li>Provide infrastructure for investigators desiring to implement multi-center clinical trials</li>
<li>Develop novel biostatistical techniques that are necessary for the analysis of data when nonstandard techniques are necessary, or to implement new methodology that can be applied to recurring problems in diabetes research</li>
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<p> </p>
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<p> </p>
<p>The Biostatistics and Economic Modeling Core helps investigators make quantitative inferences about the causes, control and prevention of diabetes or other endocrine-related conditions by consulting and collaborating on research related to diabetes. The core provides experimental design, data management and data analysis.</p>
<p> </p>
<p><strong>Goals</strong></p>
<ul>
<li>Help investigators design their studies prior to submission of grant proposals to the National Institutes of Health or other funding agencies</li>
<li>Provide advice and assistance in the management of data</li>
<li>Provide assistance and training in performance of analyses when the statistical methods are routine</li>
<li>Design and perform appropriate statistical analyses when the analyses are not routine</li>
<li>Continue to develop a comprehensive economic model of type 2 diabetes and evaluate the cost-effectiveness of proposed interventions</li>
<li>Collaborate on the analysis of data from experiments using microarrays (i.e., data mining techniques)</li>
<li>Provide Web-based information dissemination and data collection</li>
<li>Provide infrastructure for investigators desiring to implement multi-center clinical trials</li>
<li>Develop novel biostatistical techniques that are necessary for the analysis of data when nonstandard techniques are necessary, or to implement new methodology that can be applied to recurring problems in diabetes research</li>
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<p> </p>
<p>The Biostatistics and Economic Modeling Core helps investigators make quantitative inferences about the causes, control and prevention of diabetes or other endocrine-related conditions by consulting and collaborating on research related to diabetes. The core provides experimental design, data management and data analysis.</p>
<p> </p>
<p><strong>Goals</strong></p>
<ul>
<li>Help investigators design their studies prior to submission of grant proposals to the National Institutes of Health or other funding agencies</li>
<li>Provide advice and assistance in the management of data</li>
<li>Provide assistance and training in performance of analyses when the statistical methods are routine</li>
<li>Design and perform appropriate statistical analyses when the analyses are not routine</li>
<li>Continue to develop a comprehensive economic model of type 2 diabetes and evaluate the cost-effectiveness of proposed interventions</li>
<li>Collaborate on the analysis of data from experiments using microarrays (i.e., data mining techniques)</li>
<li>Provide Web-based information dissemination and data collection</li>
<li>Provide infrastructure for investigators desiring to implement multi-center clinical trials</li>
<li>Develop novel biostatistical techniques that are necessary for the analysis of data when nonstandard techniques are necessary, or to implement new methodology that can be applied to recurring problems in diabetes research</li>
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