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<li><a href="#pubmed" id="toc-pubmed" class="nav-link active" data-scroll-target="#pubmed"><span class="toc-section-number">12.1</span> PubMed</a></li>
<li><a href="#outside-of-pubmed" id="toc-outside-of-pubmed" class="nav-link" data-scroll-target="#outside-of-pubmed"><span class="toc-section-number">12.2</span> Outside of PubMed</a></li>
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<h1 class="title d-none d-lg-block"><span class="chapter-number">12</span> <span class="chapter-title">Literature</span></h1>
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<section id="pubmed" class="level2 page-columns page-full" data-number="12.1">
<h2 data-number="12.1" class="anchored" data-anchor-id="pubmed"><span class="header-section-number">12.1</span> PubMed</h2>
<p>Combination of <a href="https://pubmed.ncbi.nlm.nih.gov/?term=%28%28%22plasmode%22%5BTitle%2FAbstract%5D%29+OR+%28%22simulation%22%5BTitle%2FAbstract%5D%29%29+AND+%28%22high-dimensional+propensity%22%5BTitle%2FAbstract%5D%29&sort=pubdate&size=200">plasmode, simulation, high-dimensional propensity</a> provides 7 papers (searched in April 23, 2023):</p>
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</p><pre class="mermaid mermaid-js" data-tooltip-selector="#mermaid-tooltip-1">flowchart LR
A[PubMed] --> p4(Karim et al. 2018<br>Epidemiology)
p4 --> ml1
p4 --> ml0[Hybrid]
A[PubMed] --> p2(Tian et al. 2018<br>Int J Epidemiol.)
p2 --> ml1[Pure LASSO]
A[PubMed] --> p5(Wyss et al. 2018<br>Epidemiology)
p5 --> sl1[vary k,<br>k=25,100:500<br>Super<br>Learner]
p5 --> ct1
A[PubMed] --> p1(Benasseur et al. 2022<br>Pharmacoepidemiol Drug Saf.)
p1 --> ml2[Low k,<br>k = 10]
p1 --> ct1[cTMLE]
A[PubMed] --> p7(Neugebauer et al. 2015<br>Stat Med.)
p7 --> O2[time-varying<br>interventions]
A[PubMed] --> p6(Franklin et al. 2015<br>Am J Epidemiol.)
p6 --> ml1
p6 --> ml0
A[PubMed] --> p3(Schneeweiss et al. 2018<br>Clin Epidemiol.)
p3 --> O1[Review]
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classDef greenNode fill:#9f9,stroke-width:2px,stroke:#090,color:#000
%% Apply classes to nodes
class p1,p3,p7 redNode
class p5 yellowNode
class p2,p4,p6 greenNode
</pre>
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<p><span class="citation" data-cites="benasseur2022comparison tian2018evaluating franklin2015regularized neugebauer2015high wyss2018using karim2018can schneeweiss2018automated">(<a href="references.html#ref-benasseur2022comparison" role="doc-biblioref">Benasseur et al. 2022</a>; <a href="references.html#ref-tian2018evaluating" role="doc-biblioref">Tian, Schuemie, and Suchard 2018</a>; <a href="references.html#ref-franklin2015regularized" role="doc-biblioref">Franklin et al. 2015</a>; <a href="references.html#ref-neugebauer2015high" role="doc-biblioref">Neugebauer et al. 2015</a>; <a href="references.html#ref-wyss2018using" role="doc-biblioref">Wyss et al. 2018</a>; <a href="references.html#ref-karim2018can" role="doc-biblioref">Karim, Pang, and Platt 2018</a>; <a href="references.html#ref-schneeweiss2018automated" role="doc-biblioref">Schneeweiss 2018</a>)</span></p>
</div></div></section>
<section id="outside-of-pubmed" class="level2 page-columns page-full" data-number="12.2">
<h2 data-number="12.2" class="anchored" data-anchor-id="outside-of-pubmed"><span class="header-section-number">12.2</span> Outside of PubMed</h2>
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<p>
</p><pre class="mermaid mermaid-js" data-tooltip-selector="#mermaid-tooltip-2">flowchart LR
S[Simulations] --> p0(Pang et al. 2016<br>Int. J Biostat.)
p0 --> t1[TMLE,<br>No<br>super<br>learner]
D[Data<br>analysis] --> p00(Pang et al. 2016<br>Epidemiology)
p00 --> t1
D --> p1(Ju et al. 2019<br>J App Stat.)
p1 --> sl1[Super<br>learner,<br>No TMLE,<br>bias not<br>used as a<br>performance<br>measure]
D --> p3(Schneeweiss et al. 2017<br>Epidemiology)
p3 --> ml1[LASSO]
S --> p4(Weberpals et al. 2021<br>Epidemiology)
p4 --> ml1[LASSO]
p4 --> ml2[Autoencoder]
S --> p5(Ju et al. 2019<br>Stat Meth Med Res.)
p5 --> t1
p5 --> t2[cTMLE,<br>more about<br>time<br>complexity]
S --> p6(Low et al. 2015<br>J Comp Eff Res.)
p6 --> ml1
%% Define style classes
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classDef greenNode fill:#9f9,stroke-width:2px,stroke:#090,color:#000
classDef blueNode fill:#44f,stroke-width:2px,stroke:#00f,color:#fff
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class p1 yellowNode
class p3,p4,p6 greenNode
class p0,p00,p5 blueNode
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<p><span class="citation" data-cites="pang2016targeted pang2016effect ju2019scalable ju2019propensity schneeweiss2017variable weberpals2021deep low2016comparing">(<a href="references.html#ref-pang2016targeted" role="doc-biblioref">Pang, Schuster, Filion, Eberg, et al. 2016</a>; <a href="references.html#ref-pang2016effect" role="doc-biblioref">Pang, Schuster, Filion, Schnitzer, et al. 2016</a>; <a href="references.html#ref-ju2019scalable" role="doc-biblioref">Ju, Gruber, et al. 2019</a>; <a href="references.html#ref-ju2019propensity" role="doc-biblioref">Ju, Combs, et al. 2019</a>; <a href="references.html#ref-schneeweiss2017variable" role="doc-biblioref">Schneeweiss et al. 2017</a>; <a href="references.html#ref-weberpals2021deep" role="doc-biblioref">Weberpals et al. 2021</a>; <a href="references.html#ref-low2016comparing" role="doc-biblioref">Low, Gallego, and Shah 2016</a>)</span></p>
</div></div><div id="refs" class="references csl-bib-body hanging-indent" role="doc-bibliography" style="display: none">
<div id="ref-benasseur2022comparison" class="csl-entry" role="doc-biblioentry">
Benasseur, Imane, Denis Talbot, Madeleine Durand, Anne Holbrook, Alexis Matteau, Brian J Potter, Christel Renoux, Mireille E Schnitzer, Jean-Éric Tarride, and Jason R Guertin. 2022. <span>“A Comparison of Confounder Selection and Adjustment Methods for Estimating Causal Effects Using Large Healthcare Databases.”</span> <em>Pharmacoepidemiology and Drug Safety</em> 31 (4): 424–33.
</div>
<div id="ref-franklin2015regularized" class="csl-entry" role="doc-biblioentry">
Franklin, Jessica M, Wesley Eddings, Robert J Glynn, and Sebastian Schneeweiss. 2015. <span>“Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses.”</span> <em>American Journal of Epidemiology</em> 182 (7): 651–59.
</div>
<div id="ref-ju2019propensity" class="csl-entry" role="doc-biblioentry">
Ju, Cheng, Mary Combs, Samuel D Lendle, Jessica M Franklin, Richard Wyss, Sebastian Schneeweiss, and Mark J van der Laan. 2019. <span>“Propensity Score Prediction for Electronic Healthcare Databases Using Super Learner and High-Dimensional Propensity Score Methods.”</span> <em>Journal of Applied Statistics</em> 46 (12): 2216–36.
</div>
<div id="ref-ju2019scalable" class="csl-entry" role="doc-biblioentry">
Ju, Cheng, Susan Gruber, Samuel D Lendle, Antoine Chambaz, Jessica M Franklin, Richard Wyss, Sebastian Schneeweiss, and Mark J van Der Laan. 2019. <span>“Scalable Collaborative Targeted Learning for High-Dimensional Data.”</span> <em>Statistical Methods in Medical Research</em> 28 (2): 532–54.
</div>
<div id="ref-karim2018can" class="csl-entry" role="doc-biblioentry">
Karim, Mohammad Ehsanul, Menglan Pang, and Robert W Platt. 2018. <span>“Can We Train Machine Learning Methods to Outperform the High-Dimensional Propensity Score Algorithm?”</span> <em>Epidemiology</em> 29 (2): 191–98.
</div>
<div id="ref-low2016comparing" class="csl-entry" role="doc-biblioentry">
Low, Yen Sia, Blanca Gallego, and Nigam Haresh Shah. 2016. <span>“Comparing High-Dimensional Confounder Control Methods for Rapid Cohort Studies from Electronic Health Records.”</span> <em>Journal of Comparative Effectiveness Research</em> 5 (2): 179–92.
</div>
<div id="ref-neugebauer2015high" class="csl-entry" role="doc-biblioentry">
Neugebauer, Romain, Julie A Schmittdiel, Zheng Zhu, Jeremy A Rassen, John D Seeger, and Sebastian Schneeweiss. 2015. <span>“High-Dimensional Propensity Score Algorithm in Comparative Effectiveness Research with Time-Varying Interventions.”</span> <em>Statistics in Medicine</em> 34 (5): 753–81.
</div>
<div id="ref-pang2016targeted" class="csl-entry" role="doc-biblioentry">
Pang, Menglan, Tibor Schuster, Kristian B Filion, Maria Eberg, and Robert W Platt. 2016. <span>“Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research.”</span> <em>Epidemiology (Cambridge, Mass.)</em> 27 (4): 570.
</div>
<div id="ref-pang2016effect" class="csl-entry" role="doc-biblioentry">
Pang, Menglan, Tibor Schuster, Kristian B Filion, Mireille E Schnitzer, Maria Eberg, and Robert W Platt. 2016. <span>“Effect Estimation in Point-Exposure Studies with Binary Outcomes and High-Dimensional Covariate Data–a Comparison of Targeted Maximum Likelihood Estimation and Inverse Probability of Treatment Weighting.”</span> <em>The International Journal of Biostatistics</em> 12 (2).
</div>
<div id="ref-schneeweiss2018automated" class="csl-entry" role="doc-biblioentry">
Schneeweiss, Sebastian. 2018. <span>“Automated Data-Adaptive Analytics for Electronic Healthcare Data to Study Causal Treatment Effects.”</span> <em>Clinical Epidemiology</em>, 771–88.
</div>
<div id="ref-schneeweiss2017variable" class="csl-entry" role="doc-biblioentry">
Schneeweiss, Sebastian, Wesley Eddings, Robert J Glynn, Elisabetta Patorno, Jeremy Rassen, and Jessica M Franklin. 2017. <span>“Variable Selection for Confounding Adjustment in High-Dimensional Covariate Spaces When Analyzing Healthcare Databases.”</span> <em>Epidemiology</em> 28 (2): 237–48.
</div>
<div id="ref-tian2018evaluating" class="csl-entry" role="doc-biblioentry">
Tian, Yuxi, Martijn J Schuemie, and Marc A Suchard. 2018. <span>“Evaluating Large-Scale Propensity Score Performance Through Real-World and Synthetic Data Experiments.”</span> <em>International Journal of Epidemiology</em> 47 (6): 2005–14.
</div>
<div id="ref-weberpals2021deep" class="csl-entry" role="doc-biblioentry">
Weberpals, Janick, Tim Becker, Jessica Davies, Fabian Schmich, Dominik Rüttinger, Fabian J Theis, and Anna Bauer-Mehren. 2021. <span>“Deep Learning-Based Propensity Scores for Confounding Control in Comparative Effectiveness Research: A Large-Scale, Real-World Data Study.”</span> <em>Epidemiology</em> 32 (3): 378–88.
</div>
<div id="ref-wyss2018using" class="csl-entry" role="doc-biblioentry">
Wyss, Richard, Sebastian Schneeweiss, Mark Van Der Laan, Samuel D Lendle, Cheng Ju, and Jessica M Franklin. 2018. <span>“Using Super Learner Prediction Modeling to Improve High-Dimensional Propensity Score Estimation.”</span> <em>Epidemiology</em> 29 (1): 96–106.
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