<metaproperty="og:title"content="Data set with treatment dosages as defined by EUCAST — dosage"/>
<metaproperty="og:description"content="EUCAST breakpoints used in this package are based on the dosages in this data set. They can be retrieved with eucast_dosage()."/>
<p>EUCAST breakpoints used in this package are based on the dosages in this data set. They can be retrieved with <code><ahref='eucast_rules.html'>eucast_dosage()</a></code>.</p>
<p>A <ahref='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with 135 observations and 9 variables:</p><ul>
<li><p><code>ab</code><br/> Antibiotic ID as used in this package (such as <code>AMC</code>), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available</p></li>
<li><p><code>name</code><br/> Official name of the antimicrobial agent as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>type</code><br/> Type of the dosage, either "high_dosage", "standard_dosage" or "uncomplicated_uti"</p></li>
<li><p><code>dose</code><br/> Dose, such as "2 g" or "25 mg/kg"</p></li>
<p><ahref='https://www.eucast.org/clinical_breakpoints/'>'EUCAST Clinical Breakpoint Tables' v11.0</a> (2021) are based on the dosages in this data set.</p>
<h2class="hasAnchor"id="reference-data-publicly-available"><aclass="anchor"href="#reference-data-publicly-available"></a>Reference data publicly available</h2>
<p>All reference data sets (about microorganisms, antibiotics, R/SI interpretation, EUCAST rules, etc.) in this <code>AMR</code> package are publicly and freely available. We continually export our data sets to formats for use in R, SPSS, SAS, Stata and Excel. We also supply flat files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please find <ahref='https://msberends.github.io/AMR/articles/datasets.html'>all download links on our website</a>, which is automatically updated with every code change.</p>
<h2class="hasAnchor"id="read-more-on-our-website-"><aclass="anchor"href="#read-more-on-our-website-"></a>Read more on our website!</h2>
<p>On our website <ahref='https://msberends.github.io/AMR/'>https://msberends.github.io/AMR/</a> you can find <ahref='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <ahref='https://msberends.github.io/AMR/reference/'>complete documentation of all functions</a> and <ahref='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <ahref='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
<p>Developed by <ahref='https://www.rug.nl/staff/m.s.berends/'>Matthijs S. Berends</a>, <ahref='https://www.rug.nl/staff/c.f.luz/'>Christian F. Luz</a>, <ahref='https://www.rug.nl/staff/a.w.friedrich/'>Alexander W. Friedrich</a>, <ahref='https://www.rug.nl/staff/b.sinha/'>Bhanu N. M. Sinha</a>, <ahref='https://www.rug.nl/staff/c.j.albers/'>Casper J. Albers</a>, <ahref='https://www.rug.nl/staff/c.glasner/'>Corinna Glasner</a>.</p>
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