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    <title>R / Medicine 2019 on R Views</title>
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    <description>Recent content in R / Medicine 2019 on R Views</description>
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      <title>R/Medicine 2019 Workshops</title>
      <link>https://rviews.rstudio.com/2019/09/12/r-medicine-2019-workshops/</link>
      <pubDate>Thu, 12 Sep 2019 00:00:00 +0000</pubDate>
      
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        &lt;p&gt;&lt;a href=&#34;https://r-medicine.com/&#34;&gt;R/Medicine 2019&lt;/a&gt; kicked off on Thursday with two outstanding workshops. It was difficult to choose between the two, but fortunately both presenters developed rich sets of materials that are available online.&lt;/p&gt;

&lt;p&gt;Alison Hill delivered &lt;a href=&#34;https://rmd4medicine.netlify.com/&#34;&gt;R Markdown for Medicine&lt;/a&gt; with an elegant HTML exposition masterfully created to cultivate beginners while still engaging experienced R Markdown users.
&lt;img src=&#34;/post/2019-09-12-rmedicine_files/surgery.jpg&#34; height = &#34;400&#34; width=&#34;600&#34;&gt;&lt;/p&gt;

&lt;p&gt;&lt;a href=&#34;https://unsplash.com/photos/FvNp_SY4kF0&#34;&gt;Photo by Samuel Zeller on Unsplash&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;In four sections: (1) &lt;a href=&#34;https://rmd4medicine.netlify.com/materials/01-rmd-anatomy/&#34;&gt;R Markdown Anatomy&lt;/a&gt;, (2) &lt;a href=&#34;https://rmd4medicine.netlify.com/materials/02-output-tables/&#34;&gt;Outputs and Tables&lt;/a&gt;, (3) &lt;a href=&#34;https://rmd4medicine.netlify.com/materials/03/&#34;&gt;Graphics for Communication&lt;/a&gt; and (4)
&lt;a href=&#34;https://rmd4medicine.netlify.com/materials/04-data-workflows/&#34;&gt;Data and Workflows&lt;/a&gt; she developed aspects of R Markdown aimed at statisticians and clinicians writing medical document which should also delight a wide audience of R Markdown users.&lt;/p&gt;

&lt;p&gt;In the parallel session, Elizabeth (Beth) Atkinson distilled years of experience &lt;a href=&#34;https://github.com/bethatkinson/rmed2019_surv&#34;&gt;Wrangling survival data&lt;/a&gt; at the Mayo Clinic while presenting new functionality from version 3.0 of Terry Therneau&amp;rsquo;s &lt;code&gt;Survival&lt;/code&gt; package which contains significant new material on multi-state models. (Version 3.0 is expected to make it to CRAN very soon, but if you can&amp;rsquo;t wait, you can install the new version from GitHub with: &lt;code&gt;install_github(&amp;quot;therneau/survival&amp;quot;, dependencies=TRUE)&lt;/code&gt;. Terry, who will be delivering the opening keynote presentation, also attended the workshop. It was a rare treat to hear Beth and Terry discuss best practices, pitfalls and common errors while fielding questions from the attendees. Beth assembled so much material it will take a &amp;ldquo;month of Sundays&amp;rdquo; to work through it all, but I doubt that there is a better source of material anywhere that makes the special difficulties of wrangling survival data more easily accessible. The following gem shows up early in the presentation.&lt;/p&gt;

&lt;p&gt;&lt;img src=&#34;/post/2019-09-12-rmedicine_files/kp.png&#34; height = &#34;400&#34; width=&#34;600&#34;&gt;&lt;/p&gt;

&lt;p&gt;R/Medicine is off to a great start.&lt;/p&gt;

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