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<div class="container-fluid main-container">
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<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="index.html">Jessica Lavery</a>
</div>
<div id="navbar" class="navbar-collapse collapse">
<ul class="nav navbar-nav">
</ul>
<ul class="nav navbar-nav navbar-right">
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
portfolio
<span class="caret"></span>
</a>
<ul class="dropdown-menu" role="menu">
<li>
<a href="portfolio_onc.html">Current: Oncology</a>
</li>
<li>
<a href="portfolio_obgyn.html">Past Experience: Obstetrics & Gynecology</a>
</li>
<li>
<a href="portfolio_service.html">Service</a>
</li>
</ul>
</li>
<li>
<a href="files/lavery_pagedown_resume.html">CV</a>
</li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
blog
<span class="caret"></span>
</a>
<ul class="dropdown-menu" role="menu">
<li>
<a href="blog_grad_school.html">Deciding on a Doctorate in Biostatistics</a>
</li>
<li>
<a href="blog_timetrackr.html">{timetrackR}</a>
</li>
<li>
<a href="blog_cws_social_media_webinar.html">CWS Social Media Webinar</a>
</li>
</ul>
</li>
<li>
<a href="hobbies.html">hobbies</a>
</li>
<li>
<a href="https://www.mskcc.org/profile/jessica-lavery">
<span class="fa fa-envelope fa-lg"></span>
</a>
</li>
<li>
<a href="https://scholar.google.com/citations?user=4_XbhlgAAAAJ&hl=en">
<span class="ai ai-google-scholar-square ai-lg"></span>
</a>
</li>
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<a href="https://www.linkedin.com/in/jalavery/">
<span class="fa fa-linkedin fa-lg"></span>
</a>
</li>
<li>
<a href="https://github.com/jalavery">
<span class="fa fa-github fa-lg"></span>
</a>
</li>
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<div id="header">
<h1 class="title toc-ignore">Obstetrics & Gynecology Portfolio</h1>
</div>
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<p><em>I previously worked as a Biostatistician in the Columbia
University Medical Center Department of Obstetrics and Gynecology from
2014-2016 as part of a team of four Master’s level biostatisticians and
a faculty-level epidemiologist. Below are a few projects that highlight
my work on this team, as well as the statistical tools that were applied
in our collaborative projects.</em></p>
<div id="safe-motherhood-initiative-smi" class="section level3">
<h3>Safe Motherhood Initiative (SMI)</h3>
<p>In 2013, the SMI convened inter-professional working groups tasked
with developing evidence-based care bundles for <a
href="https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0038-1676976">hemorrhage</a>,
<a
href="https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0038-1668549">venous
thromboembolism</a>, and <a
href="https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0038-1673632">hypertension</a>.
Participating hospitals submitted data measured before, during, and
after implementation of the bundles. Maternal morbidity and mortality
were analyzed for trends stratified by implementation status. As a
member of the Statistical Coordinating Center for this project, I was
responsible for coordinating with participating hospitals to ensure high
data quality, providing monthly reports flagging potential data entry
errors, as well as for the eventual analysis of data.</p>
</div>
<div id="age-period-cohort-analyses" class="section level3">
<h3>Age-period-cohort analyses</h3>
<p><a
href="https://www.mailman.columbia.edu/research/population-health-methods/age-period-cohort-analysis">Age-period-cohort
analyses</a> are an epidemiologic method for parsing out the independent
contributions of age, period (year) and cohort on a particular outcome,
given their linear dependency (period = cohort + age). We applied this
approach to study the contributions of maternal age, period of birth,
and maternal birth cohort on <a
href="https://obgyn.onlinelibrary.wiley.com/doi/full/10.1111/1471-0528.14236">gestational
diabetes</a> (Among BJOG’s top cited papers, 2017-2018); <a
href="https://www.ingentaconnect.com/content/wk/ede/2017/00000028/00000004/art00022">primary
and repeat cesarean deliveries</a>; and <a
href="https://www.sciencedirect.com/science/article/pii/S000293781600315X">delivery,
trauma and surgery for pelvic organ prolapse</a>.</p>
</div>
<div id="mediation-analyses" class="section level3">
<h3>Mediation analyses</h3>
<p>Mediation analyses are a type of causal inference used to decompose
the total effect of an exposure on an outcome into the direct effect and
the indirect effect (i.e. the effect that is mediated) in order to
better characterize the nature of the relationship between the exposure
and the outcome. We implemented a mediation analysis to determine the
extent to which the effect of <a
href="https://obgyn.onlinelibrary.wiley.com/doi/full/10.1111/1471-0528.14049">placental
abruption on neurodevelopmental outcomes is mediated through preterm
delivery</a>.</p>
</div>
<div id="hierarchical-modeling" class="section level3">
<h3>Hierarchical modeling</h3>
<p>Multilevel, or hierarchical, modeling adjusts estimates of variance
to account for the clustering of patients within hospitals. We utilized
multilevel models to assess the associations between <a
href="https://www.sciencedirect.com/science/article/pii/S0002937815011205">placental
abruption</a> and <a
href="https://obgyn.onlinelibrary.wiley.com/doi/full/10.1111/1471-0528.14384">severe
pre-eclampsia</a> and maternal complications.</p>
</div>
<div id="meta-analyses" class="section level3">
<h3>Meta-analyses</h3>
<p>Pooling data across published studies, we performed systematic
reviews and meta-analyses of <a
href="https://www.sciencedirect.com/science/article/pii/S0002937815005359">placental
implantation abnormalities and risk of preterm delivery</a> and <a
href="https://www.sciencedirect.com/science/article/pii/S0002937816005299">the
efficacy and safety of cervical ripening agents in women with a scarred
uterus</a>.</p>
</div>
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