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Data
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<div id="header">
<h1 class="title toc-ignore">Resources</h1>
</div>
<div id="cheat-sheets" class="section level3">
<h3>Cheat sheets</h3>
<ul>
<li><p><a
href="Resources/PKPD_Exploratory_Graphics_(xGx)_Cheat_Sheet.pdf">xGx
PKPD Cheat Sheet</a>: 1-page front and back resource summarizing xGx
principles, plots, and codes</p></li>
<li><p><a
href="Resources/R PMX Best Practices Checklist v2 Public.pdf">
R Best Practices</a>: 1-page reference sheet detailing some good practices
for R coding, including tips for reproducibility and readability.</p></li>
<li><p><a
href="https://graphicsprinciples.github.io/cheatsheet.html">Graphics
Principles Cheat Sheet</a>: 1-page front and back cheat sheet
summarizing good graphics principles (<a
href="https://github.com/GraphicsPrinciples/CheatSheet/blob/master/NVSCheatSheet.pdf">PDF</a>)</p></li>
<li><p><a href="Resources/Presentation_Checklist_v2.03.pdf">Presentation
Checklist</a>: 1 page checklist for planning, developing, and delivering
presentations, focusing on effective communication.</p></li>
<li><p><a href="Resources/Presentation_Evaluation_Form.doc">Presentation
Evaluation Form</a>: 1-page feedback form for evaluating presentations
and/or asking for feedback
</p></li>
<li><p><a
href="https://zenodo.org/record/4409236#.ZDm5J3fMKUl">Uncertainty
Assessment - Pedigree Table</a>: 1-page reference sheet for evaluating
the uncertainty of a model including quality of input data, breadth of
exploration of model structure, incorporation of random effects, and
predictive ability of model. (<a
href="https://zenodo.org/record/4409236/files/Uncertainty_Assessment_Pedigree_Table.pdf?download=1">PDF</a>)</p></li>
</ul>
</div>
<div id="videos" class="section level3">
<h3>Videos</h3>
<ul>
<li><p>Effective Visual Communication (EVC) for the Quantitative
Scientist Cartoon Video (<a
href="https://graphicsprinciples.github.io/threelaws.html">video</a>)</p></li>
<li><p>xGx Tutorial Video, ACoP 2020 (<a
href="2020_xgx_ACoP_tutorial.html">video</a>)</p></li>
<li><p>xGx Cheat Sheet Video, ACoP 2020 (<a
href="2020_xgx_ACoP_poster.html">video</a>)</p></li>
</ul>
</div>
<div id="pkpd-fundamentals-trainings" class="section level3">
<h3>PK/PD Fundamentals trainings</h3>
<ul>
<li><p><a
href="Resources/FundamentalPK_AndyStein_Hackathon_2019.pptx">Fundamental
PK Principles Introduction</a>: Presentation of PK fundamentals targeted
towards people with a quantitative background, but limited knowledge of
PK.</p></li>
<li><p><a
href="Resources/FundamentalPD_AndyStein_Hackathon_2019.pptx">Fundamental
PD Principles Introduction</a>: Presentation of PD fundamentals targeted
towards people with a quantitative background, but limited knowledge of
PD.</p></li>
</ul>
</div>
<div id="xgx-presentations-and-publications" class="section level3">
<h3>xGx Presentations and Publications</h3>
<ul>
<li><p>A. Margolskee, F. Khanshan, A. M. Stein, Y. Ho, M. Looby (2020)
“Exploratory Graphics (xGx)”, part of “An open-source
Pharmacometrician’s workflow in R: from exploration (xGx) to model
building (nlmixr) and diagnostics (ggPMX)”, Tutorial at ACoP11 2020
annual meeting, virtual (<a
href="2020_xgx_ACoP_tutorial.html">video</a>)</p></li>
<li><p>A. Margolskee, F. Khanshan, A. M. Stein, Y. Ho, M. Looby (2020),
“Exploratory graphics (xGx) Cheat Sheet: promoting the purposeful
exploration of PKPD data,” Poster at ACoP11 2020 annual meeting, virtual
(<a
href="Resources/PKPD_Exploratory_Graphics_(xGx)_Cheat_Sheet.pdf">cheat
sheet</a>, <a href="2020_xgx_ACoP_poster.html">video</a>)</p></li>
<li><p>F. Khanshan, A. Margolskee, A. M. Stein, Y. Ho, M. Looby (2019)
“Exploratory Graphics (xGx)”, part of “An open-source
Pharmacometrician’s workflow in R: from exploration (xGx) to model
building (nlmixr) and diagnostics (ggPMX)”, Tutorial at ACoP10 2019
annual meeting, Orlando, Florida</p></li>
<li><p>F. Khanshan, A. Margolskee, A. M. Stein, Y. Ho, M. Looby (2019)
“Exploratory Graphics (xGx): Promoting the purposeful exploration of
PKPD data”, Poster at ACoP10 2019 annual meeting, Orlando, Florida (<a
href="https://www.go-acop.org/assets/ACoP10/documents/ACoP10%20Combined%20Abstracts_2019.pdf#page=65">abstract</a>)</p></li>
<li><p>F. Khanshan, A. Margolskee, A. M. Stein, Y. Ho, M. Looby (2019)
“Exploratory Graphics (xGx): Promoting the purposeful exploration of
PKPD data”, Presentation at ACoP10 2019 annual meeting, Orlando, Florida
(<a
href="https://www.go-acop.org/assets/ACoP10/documents/ACoP10%20Combined%20Abstracts_2019.pdf#page=65">abstract</a>)</p></li>
<li><p>A. Margolskee, F. Khanshan, A. M. Stein, Yu-Yun Ho, M. Looby
(2019), “Exploratory Graphics (xGx) tool for purposeful PKPD data
exploration”, Presentation at R/Pharma, August 2019, Harvard University,
Massachusetts, USA</p></li>
<li><p>A. Margolskee, F. Khanshan, A. M. Stein, Y. Ho, M. Looby (2019),
“Exploratory graphics (xGx): promoting the purposeful exploration of
PKPD data,” Presentation at 2019 PAGE annual meeting, Stockholm, Sweden
(<a
href="https://www.page-meeting.org/default.asp?abstract=8913">abstract</a>)</p></li>
<li><p>U Minnesota Pharmacometrics Summer School (2019), One day
training course on exploratory graphics - xGx, Minneapolis, MN</p></li>
</ul>
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