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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Dear PREV and CPSY students,
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">I'm writing to inform you about some of the new(ish) class offerings in PREV for
<b>Spring 2020.</b> <br>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">One of them is
</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"><b>PREV 610: Adaptive Designs
</b></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">(CRN:
</span><a href="http://classes.uoregon.edu/pls/prod/hwskdhnt.p_viewdetl?term=201903&crn=36234" title="http://classes.uoregon.edu/pls/prod/hwskdhnt.p_viewdetl?term=201903&crn=36234"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">36234</span></a><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">)
taught by Dr. Dave DeGarmo (degarmo@uoregon.edu). </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">The course will cover Adaptive Research Designs, including MOST and SMART trials, Preference Trials, and Response to Intervention
designs, with the focus on research designs providing data on how better tailor interventions to address heterogeneity in the focal populations and to better treat individual differences in treatment response. </span></div>
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<p style="font-size:11pt; font-family:Calibri,sans-serif; margin:0"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"> </span></p>
<p style="font-size:11pt; font-family:Calibri,sans-serif; margin:0"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">MOST trials focus on component comparisons, SMART trials focus on what is the best sequence of two or more interventions,
preference trials focus on whether giving respondents choices in treatments leads to better outcomes, and RTi response to intervention is monitoring and tiered approach based on response. We will define and learn the key elements of each designs and students
will have the opportunity to design a real or hypothetical study. We will learn upstream and downstream analytic issues including power analyses and fractional factorial analysis in R. However, the content is largely seminar driven with about 25% methodological
demonstration and application. </span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Additionally, we have two classes that Dr. Justin Caouette (jcaouett@uoregon.edu) will be teaching next term -
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"><b>PREV 610: Prevention and Policy
</b></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">(WEB) (CRN:
</span><a href="http://classes.uoregon.edu/pls/prod/hwskdhnt.p_viewdetl?term=201903&crn=36216" title="http://classes.uoregon.edu/pls/prod/hwskdhnt.p_viewdetl?term=201903&crn=36216"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">36216</span></a>)<br>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"><b>PREV 632: Risk and Resilience in Adolescence</b></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"> (CRN:
</span><a href="http://classes.uoregon.edu/pls/prod/hwskdhnt.p_viewdetl?term=201903&crn=36572" title="http://classes.uoregon.edu/pls/prod/hwskdhnt.p_viewdetl?term=201903&crn=36572"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">36572</span></a><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">)</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Please feel free to follow up directly with the course instructors (emails included) if you have any questions.
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Best,</span><br>
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Atika</span><br>
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