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Delayed_first_dose.html
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<!DOCTYPE html>
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<a class="navbar-brand" href="index.html">Meta-analysis of oral vaccine interventions</a>
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Summary
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<h1 class="title toc-ignore">Delayed first dose</h1>
</div>
<div id="full-analysis" class="section level2">
<h2>Full analysis</h2>
<div id="forest-plot" class="section level3">
<h3>Forest plot</h3>
<p><img src="Delayed_first_dose_files/figure-html/unnamed-chunk-3-1.png" width="1248" /></p>
</div>
<div id="funnel-plot" class="section level3">
<h3>Funnel plot</h3>
<p><img src="Delayed_first_dose_files/figure-html/unnamed-chunk-4-1.png" width="576" /></p>
</div>
<div id="eggers-test" class="section level3">
<h3>Egger’s test</h3>
<pre><code>## [1] "No replication of infants across vaccines or significant vaccine effect, therefore combined test performed"</code></pre>
<pre><code>##
## Regression Test for Funnel Plot Asymmetry
##
## model: mixed-effects meta-regression model
## predictor: standard error
##
## test for funnel plot asymmetry: z = 1.9341, p = 0.0531</code></pre>
</div>
<div id="meta-analysis-output" class="section level3">
<h3>Meta-analysis output</h3>
<pre><code>##
## Random-Effects Model (k = 5; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 0.8350 -1.6700 2.3300 1.1026 14.3300
##
## tau^2 (estimated amount of total heterogeneity): 0.0120 (SE = 0.0265)
## tau (square root of estimated tau^2 value): 0.1094
## I^2 (total heterogeneity / total variability): 32.00%
## H^2 (total variability / sampling variability): 1.47
##
## Test for Heterogeneity:
## Q(df = 4) = 5.7272, p-val = 0.2205
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.3153 0.0867 3.6376 0.0003 0.1454 0.4852 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
</div>
<div id="meta-regression-output" class="section level3">
<h3>Meta-regression output</h3>
<pre><code>## [1] "Insufficient studies for meta-regression (either <2 studies or only 1 vaccine type)"</code></pre>
</div>
<div id="intervention-specific-outputs" class="section level3">
<h3>Intervention-specific outputs</h3>
<div id="summary-of-cholera-studies" class="section level4">
<h4>Summary of cholera studies</h4>
<pre><code>## [1] "Insufficient studies (n<2)"</code></pre>
</div>
<div id="summary-of-rotavirus-studies" class="section level4">
<h4>Summary of rotavirus studies</h4>
<pre><code>##
## Random-Effects Model (k = 5; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 0.8350 -1.6700 2.3300 1.1026 14.3300
##
## tau^2 (estimated amount of total heterogeneity): 0.0120 (SE = 0.0265)
## tau (square root of estimated tau^2 value): 0.1094
## I^2 (total heterogeneity / total variability): 32.00%
## H^2 (total variability / sampling variability): 1.47
##
## Test for Heterogeneity:
## Q(df = 4) = 5.7272, p-val = 0.2205
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.3153 0.0867 3.6376 0.0003 0.1454 0.4852 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
</div>
<div id="summary-of-pv3-studies" class="section level4">
<h4>Summary of PV3 studies</h4>
<pre><code>## [1] "Insufficient studies (n<2)"</code></pre>
</div>
</div>
<div id="meta-regression-secondary-moderators" class="section level3">
<h3>Meta-regression: secondary moderators</h3>
<div id="age-group" class="section level4">
<h4>Age group</h4>
<pre><code>## [1] "Residual heterogeneity not significant (p>0.05)"</code></pre>
</div>
<div id="income-setting" class="section level4">
<h4>Income setting</h4>
<pre><code>## [1] "Residual heterogeneity not significant (p>0.05)"</code></pre>
</div>
<div id="background-immunogenicity-seroconversion-rate-in-the-control-group" class="section level4">
<h4>Background immunogenicity (seroconversion rate in the control group)</h4>
<pre><code>## [1] "Residual heterogeneity not significant (p>0.05)"</code></pre>
</div>
</div>
</div>
<div id="opv-specific-analysis" class="section level2">
<h2>OPV-specific analysis</h2>
<div id="forest-plot-1" class="section level3">
<h3>Forest plot</h3>
<pre><code>## [1] "Insufficient studies (n<2)"</code></pre>
</div>
<div id="funnel-plot-1" class="section level3">
<h3>Funnel plot</h3>
<pre><code>## [1] "Insufficient studies (n<2)"</code></pre>
</div>
<div id="eggers-test-1" class="section level3">
<h3>Egger’s test</h3>
<p>Infants replicated across vaccines, therefore separate tests performed</p>
<pre><code>## [1] "OPV1:"</code></pre>
<pre><code>## [1] "Insufficient studies (n<3)"</code></pre>
<pre><code>## [1] "OPV2:"</code></pre>
<pre><code>## [1] "Insufficient studies (n<3)"</code></pre>
<pre><code>## [1] "OPV3:"</code></pre>
<pre><code>## [1] "Insufficient studies (n<3)"</code></pre>
</div>
<div id="meta-analysis-output-1" class="section level3">
<h3>Meta-analysis output</h3>
<pre><code>## [1] "Insufficient studies (n<2)"</code></pre>
</div>
<div id="meta-regression-output-1" class="section level3">
<h3>Meta-regression output</h3>
<pre><code>## [1] "Insufficient studies for meta-regression (either <2 studies or only 1 vaccine type)"</code></pre>
</div>
<div id="serotype-specific-outputs" class="section level3">
<h3>Serotype-specific outputs</h3>
<div id="summary-of-pv1-studies" class="section level4">
<h4>Summary of PV1 studies</h4>
<pre><code>## [1] "Insufficient studies (n<2)"</code></pre>
</div>
<div id="summary-of-pv2-studies" class="section level4">
<h4>Summary of PV2 studies</h4>
<pre><code>## [1] "Insufficient studies (n<2)"</code></pre>
</div>
<div id="summary-of-pv3-studies-1" class="section level4">
<h4>Summary of PV3 studies</h4>
<pre><code>## [1] "Insufficient studies (n<2)"</code></pre>
</div>
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