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X-WR-CALNAME;VALUE=TEXT:R Regression Models
PRODID:-//Harvard events data//EN
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SUMMARY:R Regression Models
DESCRIPTION:<p>	This hands-on workshop will demonstrate how to deploy a variety of statistical procedures using R, including multiple regression, modeling with categorical variables, as well as model diagnostics and comparison. Note that the focus of the workshop is on <strong>how</strong> to use R to fit models - <strong>we do not teach the theory behind the models and assume that you already have a solid background in statistical modeling and want to apply this in R</strong>. This is an intermediate-level workshop appropriate for those who have been using R for at least a few weeks. You should be familar with all of the material in the R Introduction workshop and have used these skills in your own projects.</p><p>	This workshop will be delivered by the HBS Research Computing Services group in partnership with the Data Science Services group at IQSS.</p><p>	<font color="#575757"><font face="arial, verdana, sans-serif"><font style="font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-transform:none;white-space:normal;widows:2;word-spacing:0px;-webkit-text-stroke-width:0px;background-color:#ffffff;text-decoration-style:initial;text-decoration-color:initial">Setup instructions and materials: <a data-url="http://bit.ly/dss_rinstall" href="http://bit.ly/dss_rinstall" target="_blank" title="">http://bit.ly/dss_rinstall</a></font></font></font><br style="color:#000000;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-transform:none;white-space:normal;widows:2;word-spacing:0px;-webkit-text-stroke-width:0px;background-color:#ffffff;text-decoration-style:initial;text-decoration-color:initial"><font color="#575757"><font face="arial, verdana, sans-serif"><font style="font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-transform:none;white-space:normal;widows:2;word-spacing:0px;-webkit-text-stroke-width:0px;background-color:#ffffff;text-decoration-style:initial;text-decoration-color:initial">Class website: <a data-url="http://bit.ly/dss_rmodels" href="http://bit.ly/dss_rmodels" target="_blank" title="">http://bit.ly/dss_rmodels</a></font></font></font></p><p>	Visit the <a data-url="https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/app/shared;spf-url=common%2Fledetail%2Fcours000000000012761%3Freturnurl%3Dcommon%2Fsearchresults%2Fiqss%2FALL%3FembeddedInTorque%3Dtrue" href="https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/app/shared;spf-url=common/ledetail/cours000000000012761?returnurl=common/searchresults/iqss/ALL?embeddedInTorque=true" target="_blank" title="Harvard Training Portal">Harvard Training Portal</a> for details and registration information (requires HarvardKey).</p><p>	<!--break--></p>
LOCATION:Online: Zoom
STATUS:CONFIRMED
DTSTART:20201002T170000Z
DTEND:20201002T200000Z
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