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slides/raw/11-tipr.html

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<section id="title-slide" data-background-color="#23373B" data-color="#EDEEF" class="quarto-title-block center">
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<h1 class="title">Tipping Point Sensitivity Analyses</h1>
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<p class="subtitle">2021-09-01 (updated: 2023-07-12)</p>
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<div class="quarto-title-authors">
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<p class="date">9/1/21</p>
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</section>
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<section id="recall-propensity-scores" class="slide level2" data-background-color="#23373B">
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<h2>Recall: Propensity scores</h2>
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<h2><em>Your turn</em></h2>
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<div class="cell" data-layout-align="center">
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<div class="cell-output-display">
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<div class="countdown" id="timer_9c53327e" data-update-every="1" tabindex="0" style="right:0;bottom:0;">
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<div class="countdown" id="timer_fab74dbd" data-update-every="1" tabindex="0" style="right:0;bottom:0;">
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<div class="countdown-controls"><button class="countdown-bump-down"></button><button class="countdown-bump-up">+</button></div>
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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

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title: "Tipping Point Sensitivity Analyses"
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author: "Lucy D'Agostino McGowan"
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institute: "Wake Forest University"
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date: "2021-09-01 (updated: `r Sys.Date()`)"
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subtitle: "2021-09-01 (updated: `r Sys.Date()`)"
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format: kakashi-revealjs
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knitr:
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```
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## Recall: Propensity scores {background-color="#23373B"}
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Rosenbaum and Rubin showed in observational studies, conditioning on **propensity scores** can lead to unbiased estimates of the exposure effect

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