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Quarto GHA Workflow Runner committed Oct 31, 2024
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2 changes: 1 addition & 1 deletion .nojekyll
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41 changes: 38 additions & 3 deletions quarto/modules.html
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Expand Up @@ -460,8 +460,43 @@ <h3 class="anchored" data-anchor-id="listings-by-dv.listings">Listings by <a hre
<div class="columns">
<div class="column" style="width:40%;">
<div id="listings-gallery" class="carousel carousel-dark slide" data-bs-ride="carousel">
<div class="carousel-indicators"></div>
<div class="carousel-inner"></div>
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<button type="button" data-bs-target="#gallery-carousel" data-bs-slide-to="0" aria-label="Slide 1" class="active" aria-current="true"></button>
<button type="button" data-bs-target="#gallery-carousel" data-bs-slide-to="1" aria-label="Slide 2"></button>
<button type="button" data-bs-target="#gallery-carousel" data-bs-slide-to="2" aria-label="Slide 3"></button>
</div>
<div class="carousel-inner">
<div class="carousel-item active" data-bs-interval="5000">
<a href="images/modules/listings/listings_1.png" class="lightbox" data-gallery="listings-gallery">
<div style="height: 200px">
<img src="images/modules/listings/listings_1.png" class="d-block mx-auto border" style="width: 80%">
</div>
</a>
<div class="carousel-caption d-none d-md-block">
<p class="fw-light"></p>
</div>
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<div class="carousel-item" data-bs-interval="5000">
<a href="images/modules/listings/listings_2.png" class="lightbox" data-gallery="listings-gallery">
<div style="height: 200px">
<img src="images/modules/listings/listings_2.png" class="d-block mx-auto border" style="width: 80%">
</div>
</a>
<div class="carousel-caption d-none d-md-block">
<p class="fw-light"></p>
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</div>
<div class="carousel-item" data-bs-interval="5000">
<a href="images/modules/listings/listings_3.png" class="lightbox" data-gallery="listings-gallery">
<div style="height: 200px">
<img src="images/modules/listings/listings_3.png" class="d-block mx-auto border" style="width: 80%">
</div>
</a>
<div class="carousel-caption d-none d-md-block">
<p class="fw-light"></p>
</div>
</div>
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<button class="carousel-control-prev" type="button" data-bs-target="#listings-gallery" data-bs-slide="prev">
<span class="carousel-control-prev-icon" aria-hidden="true"></span>
<span class="visually-hidden">Previous</span>
Expand Down Expand Up @@ -1127,7 +1162,7 @@ <h3 class="anchored" data-anchor-id="waterfall-plus-heatmap-by-dv.explorer.param
</div>
</div>
</footer>
<script>var lightboxQuarto = GLightbox({"loop":false,"closeEffect":"zoom","openEffect":"zoom","selector":".lightbox","descPosition":"bottom"});
<script>var lightboxQuarto = GLightbox({"selector":".lightbox","closeEffect":"zoom","openEffect":"zoom","descPosition":"bottom","loop":false});
(function() {
let previousOnload = window.onload;
window.onload = () => {
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2 changes: 1 addition & 1 deletion search.json
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"href": "quarto/modules.html#modules",
"title": "DaVinci Modules",
"section": "Modules",
"text": "Modules\n\nBookmark manager by {dv.bookman}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThis module lists all server-side bookmarks of a shiny application, allows to describe them and feature the most relevant ones.\n\n\n\n\nBoxplot by {dv.explorer.parameter}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe boxplot module allows visualizing parameter data from ADaM basic data structure as boxplots. Data can be displayed with different levels of grouping, listings with single subject data and the possibility of examining patient details other modules (e.g. Patient Profile). It also includes some statistical testing comparing the distribution of different groups.\n\n\n\n\nClinical timelines by {dv.clinlines}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe Clinical Timelines module allows to display subject level data over time to present dates and/or time intervals of trial events, like adverse events, concomitant medications, randomization dates, and more.\n\n\n\n\nCorrelation heatmap by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe correlation heatmap module allows examining the correlation of several parameters using a correlation heatmap with different statistical measures.\n\n\n\n\neDISH by {dv.edish}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe eDISH module is meant to support the assessment of drug-induced liver injury by means of the (modified) evaluation of Drug-Induced Serious Hepatotoxicity plot.\n\n\n\n\nForest plot by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe forest plot module allows examining the correlation of several parameters with a continuous variable in the form of a forest plot. Several correlation measures and groupings are available.\n\n\n\n\nLine plot by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe lineplot module allows examining the evolution of parameter values using lineplots with different levels of grouping and aggregation measures.\n\n\n\n\nListings by {dv.listings}\n\n\n\n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe listings module displays arbitrary datasets as listings. Users can select the dataset to be shown, and specify which columns of the dataset should be displayed as well as their order. The displayed columns can be sorted and filtered. Moreover, the table can be filtered to show only entries containing a keyword entered by the user. The module is not limited to usage of one data source, most notably, it can handle data from ADaM or SDTM.\n\n\n\n\nPatient profile by {dv.papo}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe Patient Profile module allows to display subject level information and subject related data listings as well as plots for adverse events, concomitant medications, lab values, and vital signs over time.\n\n\n\n\nROC by {dv.explorer.parameter}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe ROC module makes it possible to visualize a set of ROC related charts, or tables, and compare independent ROC curves for different continuous parameters with respect to a single binary endpoint. This allows a user to evaluate how predictive is a continuous parameter of binary endpoint.\n\n\n\n\nScatter plot by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe scatterplot module makes it possible to visualize a scatterplot of two biomarkers with different levels of grouping.\n\n\n\n\nScatter plot matrix by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe scatter module allows examining the correlation of several parameters using a scatterplot matrix with different levels of grouping.\n\n\n\n\nWaterfall plus heatmap by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe Waterfall plus heatmap module package includes a waterfall plot and aligned categorical continuous and parameter heatmaps."
"text": "Modules\n\nBookmark manager by {dv.bookman}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThis module lists all server-side bookmarks of a shiny application, allows to describe them and feature the most relevant ones.\n\n\n\n\nBoxplot by {dv.explorer.parameter}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe boxplot module allows visualizing parameter data from ADaM basic data structure as boxplots. Data can be displayed with different levels of grouping, listings with single subject data and the possibility of examining patient details other modules (e.g. Patient Profile). It also includes some statistical testing comparing the distribution of different groups.\n\n\n\n\nClinical timelines by {dv.clinlines}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe Clinical Timelines module allows to display subject level data over time to present dates and/or time intervals of trial events, like adverse events, concomitant medications, randomization dates, and more.\n\n\n\n\nCorrelation heatmap by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe correlation heatmap module allows examining the correlation of several parameters using a correlation heatmap with different statistical measures.\n\n\n\n\neDISH by {dv.edish}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe eDISH module is meant to support the assessment of drug-induced liver injury by means of the (modified) evaluation of Drug-Induced Serious Hepatotoxicity plot.\n\n\n\n\nForest plot by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe forest plot module allows examining the correlation of several parameters with a continuous variable in the form of a forest plot. Several correlation measures and groupings are available.\n\n\n\n\nLine plot by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe lineplot module allows examining the evolution of parameter values using lineplots with different levels of grouping and aggregation measures.\n\n\n\n\nListings by {dv.listings}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe listings module displays arbitrary datasets as listings. Users can select the dataset to be shown, and specify which columns of the dataset should be displayed as well as their order. The displayed columns can be sorted and filtered. Moreover, the table can be filtered to show only entries containing a keyword entered by the user. The module is not limited to usage of one data source, most notably, it can handle data from ADaM or SDTM.\n\n\n\n\nPatient profile by {dv.papo}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe Patient Profile module allows to display subject level information and subject related data listings as well as plots for adverse events, concomitant medications, lab values, and vital signs over time.\n\n\n\n\nROC by {dv.explorer.parameter}\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Previous\n \n \n \n Next\n \n\n\nThe ROC module makes it possible to visualize a set of ROC related charts, or tables, and compare independent ROC curves for different continuous parameters with respect to a single binary endpoint. This allows a user to evaluate how predictive is a continuous parameter of binary endpoint.\n\n\n\n\nScatter plot by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe scatterplot module makes it possible to visualize a scatterplot of two biomarkers with different levels of grouping.\n\n\n\n\nScatter plot matrix by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe scatter module allows examining the correlation of several parameters using a scatterplot matrix with different levels of grouping.\n\n\n\n\nWaterfall plus heatmap by {dv.explorer.parameter}\n\n\n\n\n\n\n\n\n\nThe Waterfall plus heatmap module package includes a waterfall plot and aligned categorical continuous and parameter heatmaps."
},
{
"objectID": "about.html",
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8 changes: 4 additions & 4 deletions sitemap.xml
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<loc>https://Boehringer-Ingelheim.github.io/davinci/index.html</loc>
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<url>
<loc>https://Boehringer-Ingelheim.github.io/davinci/quarto/getting_started.html</loc>
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<loc>https://Boehringer-Ingelheim.github.io/davinci/quarto/modules.html</loc>
<lastmod>2024-10-31T10:35:00.422Z</lastmod>
<lastmod>2024-10-31T10:45:15.777Z</lastmod>
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<loc>https://Boehringer-Ingelheim.github.io/davinci/about.html</loc>
<lastmod>2024-10-31T10:35:00.370Z</lastmod>
<lastmod>2024-10-31T10:45:15.729Z</lastmod>
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