update

Author: LucyMcGowan

slides/raw/11-tipr.html

@@ -416,7 +416,7 @@ <h2>Recall: Propensity scores</h2>
 </div>
 </section>
 <section>
-<section id="quantifying-unmeasured-confounding" class="title-slide slide level1 center">
+<section id="quantifying-unmeasured-confounding" class="title-slide slide level1 center" data-background-color="#23373B">
 <h1>Quantifying Unmeasured Confounding</h1>
 
 </section>
@@ -433,14 +433,18 @@ <h2>Quantifying Unmeasured Confounding</h2>
 </ol>
 </section>
 <section id="quantifying-unmeasured-confounding-2" class="slide level2">
-<h2>Quantifying Unmeasured Confounding</h2>
+<h2><em>Quantifying Unmeasured Confounding</em></h2>
 
 <img data-src="img/adjust.png" class="r-stretch"><p><a href="https://doi.org/10.1007/s40471-022-00308-6">D’Agostino McGowan, L. Sensitivity Analyses for Unmeasured Confounders. Curr Epidemiol Rep 9, 361–375 (2022)</a></p>
 </section>
 <section id="section-1" class="slide level2 center large" data-background-color="#23373B">
 <h2></h2>
 <h3 id="what-will-tip-our-confidence-bound-to-cross-zero"><strong>What will tip our confidence bound to cross zero?</strong></h3>
 </section>
+<section id="quantifying-unmeasured-confounding-3" class="slide level2">
+<h2><em>Quantifying Unmeasured Confounding</em></h2>
+<p><img data-src="img/tipr-table.png"> <a href="https://doi.org/10.1007/s40471-022-00308-6">D’Agostino McGowan, L. Sensitivity Analyses for Unmeasured Confounders. Curr Epidemiol Rep 9, 361–375 (2022)</a></p>
+</section>
 <section id="section-2" class="slide level2">
 <h2></h2>
 <div class="columns">
@@ -672,7 +676,7 @@ <h3 id="nothing-is-known">Nothing is known</h3>
 <h2><em>Your turn</em></h2>
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-<div class="countdown" id="timer_fab74dbd" data-update-every="1" tabindex="0" style="right:0;bottom:0;">
+<div class="countdown" id="timer_ea0c8eb2" data-update-every="1" tabindex="0" style="right:0;bottom:0;">
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 <code class="countdown-time"><span class="countdown-digits minutes">05</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code>
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slides/raw/11-tipr.qmd

@@ -28,7 +28,7 @@ Rosenbaum and Rubin showed in observational studies, conditioning on **propensit
 2. Every subject has a nonzero probability of receiving either exposure
 :::
 
-# Quantifying Unmeasured Confounding
+# Quantifying Unmeasured Confounding {background-color="#23373B"}
 
 ##
 
@@ -40,7 +40,7 @@ Rosenbaum and Rubin showed in observational studies, conditioning on **propensit
 1. The exposure-unmeasured 
 1. The unmeasured confounder-outcome effect
 
-## Quantifying Unmeasured Confounding 
+## *Quantifying Unmeasured Confounding*
 
 ![](img/adjust.png)
 
@@ -51,6 +51,11 @@ Rosenbaum and Rubin showed in observational studies, conditioning on **propensit
 
 ### **What will tip our confidence bound to cross zero?**
 
+## *Quantifying Unmeasured Confounding*
+
+![](img/tipr-table.png)
+[D’Agostino McGowan, L. Sensitivity Analyses for Unmeasured Confounders. Curr Epidemiol Rep 9, 361–375 (2022)](https://doi.org/10.1007/s40471-022-00308-6)
+
 ## 
 
 :::: columns