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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<title>Québec Sensitivity</title>
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<div class="container-fluid main-container"><div class="row"><div class="col-md-4"><a href="index.html"><i class="glyphicon glyphicon-th-list"></i> Back to index</a></div></div></div>
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<div id="quebec-sensitivity-analyses" class="section level1 tab-content">
<h1>Québec sensitivity analyses</h1>
<div id="loading-details" class="section level3 accordion">
<h3>Loading details</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">source</span>(<span class="st">"0__helpers.R"</span>)
opts_chunk$<span class="kw">set</span>(<span class="dt">warning=</span><span class="ot">TRUE</span>, <span class="dt">cache=</span>F,<span class="dt">cache.lazy=</span>F,<span class="dt">tidy=</span><span class="ot">FALSE</span>,<span class="dt">autodep=</span><span class="ot">TRUE</span>,<span class="dt">dev=</span><span class="kw">c</span>(<span class="st">'png'</span>,<span class="st">'pdf'</span>),<span class="dt">fig.width=</span><span class="dv">20</span>,<span class="dt">fig.height=</span><span class="fl">12.5</span>,<span class="dt">out.width=</span><span class="st">'1440px'</span>,<span class="dt">out.height=</span><span class="st">'900px'</span>)
make_path =<span class="st"> </span>function(file) {
<span class="kw">get_coefficient_path</span>(file, <span class="st">"rpqa"</span>)
}
<span class="co"># options for each chunk calling knit_child</span>
opts_chunk$<span class="kw">set</span>(<span class="dt">warning=</span><span class="ot">FALSE</span>, <span class="dt">message =</span> <span class="ot">FALSE</span>, <span class="dt">echo =</span> <span class="ot">FALSE</span>)</code></pre></div>
</div>
<div id="analysis-description" class="section level2">
<h2>Analysis description</h2>
<div id="data-subset" class="section level3">
<h3>Data subset</h3>
<p>The <code>rpqa.1</code> dataset contains only those participants where paternal age is known and the birthdate is between 1630 and 1750.</p>
</div>
<div id="model-description" class="section level3">
<h3>Model description</h3>
<p>All of the following models are the same as our main model m3, except for the noted changes to test robustness.</p>
</div>
</div>
<div id="s1-mediation-via-age" class="section level2 tab-content">
<h2><em>s1</em>: Mediation via age</h2>
<p>Here, we tested whether the effect on reproductive success is mediated by age (mortality). We entered an unknown age for people who did not have a death date on their records and most likely outlived the observation period of the church records.</p>
<div id="model-summary" class="section level3 tab-content">
<h3>Model summary</h3>
<div id="full-summary" class="section level4">
<h4>Full summary</h4>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">model_summary =<span class="st"> </span><span class="kw">summary</span>(model, <span class="dt">use_cache =</span> <span class="ot">FALSE</span>, <span class="dt">priors =</span> <span class="ot">TRUE</span>)
<span class="kw">print</span>(model_summary)</code></pre></div>
<pre><code>## Family: hurdle_poisson(log)
## Formula: children ~ paternalage + age + birth_cohort + male + maternalage.factor + paternalage.mean + paternal_loss + maternal_loss + older_siblings + nr.siblings + last_born + (1 | idParents)
## hu ~ paternalage + age + birth_cohort + male + maternalage.factor + paternalage.mean + paternal_loss + maternal_loss + older_siblings + nr.siblings + last_born + (1 | idParents)
## Data: model_data (Number of observations: 68724)
## Samples: 6 chains, each with iter = 1000; warmup = 500; thin = 1;
## total post-warmup samples = 3000
## WAIC: Not computed
##
## Priors:
## b ~ normal(0,5)
## sd ~ student_t(3, 0, 5)
## b_hu ~ normal(0,5)
## sd_hu ~ student_t(3, 0, 10)
##
## Group-Level Effects:
## ~idParents (Number of levels: 12205)
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample Rhat
## sd(Intercept) 0.23 0.00 0.23 0.24 1098 1.00
## sd(hu_Intercept) 0.69 0.02 0.65 0.74 899 1.01
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample
## Intercept 1.94 0.03 1.89 1.99 1475
## paternalage 0.01 0.01 -0.01 0.03 1899
## age50112 0.35 0.01 0.34 0.37 3000
## age025 -1.52 0.03 -1.59 -1.46 3000
## ageunknown 0.03 0.01 0.02 0.05 3000
## birth_cohort1675M1680 0.02 0.02 -0.01 0.05 1298
## birth_cohort1680M1685 0.03 0.02 0.00 0.06 1262
## birth_cohort1685M1690 0.01 0.02 -0.02 0.04 1108
## birth_cohort1690M1695 0.01 0.02 -0.02 0.04 955
## birth_cohort1695M1700 0.01 0.02 -0.02 0.04 932
## birth_cohort1700M1705 0.00 0.02 -0.03 0.03 905
## birth_cohort1705M1710 -0.02 0.02 -0.05 0.01 850
## birth_cohort1710M1715 -0.02 0.02 -0.05 0.01 828
## birth_cohort1715M1720 -0.05 0.02 -0.08 -0.02 835
## birth_cohort1720M1725 -0.05 0.01 -0.08 -0.02 826
## birth_cohort1725M1730 -0.09 0.01 -0.12 -0.06 841
## birth_cohort1730M1735 -0.07 0.01 -0.10 -0.04 820
## birth_cohort1735M1740 -0.08 0.01 -0.11 -0.05 815
## male1 0.06 0.00 0.05 0.07 3000
## maternalage.factor1420 -0.01 0.01 -0.03 0.01 3000
## maternalage.factor3550 0.00 0.01 -0.02 0.02 3000
## paternalage.mean -0.03 0.01 -0.05 -0.01 1970
## paternal_loss01 -0.02 0.02 -0.06 0.02 3000
## paternal_loss15 -0.01 0.02 -0.04 0.02 1797
## paternal_loss510 0.01 0.01 -0.01 0.04 1506
## paternal_loss1015 0.00 0.01 -0.02 0.02 1714
## paternal_loss1520 0.00 0.01 -0.02 0.02 1557
## paternal_loss2025 0.00 0.01 -0.02 0.02 1710
## paternal_loss2530 0.00 0.01 -0.02 0.02 1623
## paternal_loss3035 -0.01 0.01 -0.03 0.00 1860
## paternal_loss3540 -0.02 0.01 -0.04 0.00 2257
## paternal_loss4045 0.00 0.01 -0.02 0.02 3000
## paternal_lossunclear -0.04 0.01 -0.06 -0.02 1495
## maternal_loss01 -0.02 0.02 -0.07 0.02 3000
## maternal_loss15 0.00 0.01 -0.03 0.03 2350
## maternal_loss510 0.01 0.01 -0.01 0.04 2484
## maternal_loss1015 0.00 0.01 -0.02 0.03 2289
## maternal_loss1520 0.02 0.01 0.00 0.04 2218
## maternal_loss2025 0.00 0.01 -0.02 0.02 2668
## maternal_loss2530 0.00 0.01 -0.02 0.02 2274
## maternal_loss3035 0.00 0.01 -0.01 0.02 2563
## maternal_loss3540 0.00 0.01 -0.01 0.02 3000
## maternal_loss4045 0.01 0.01 -0.01 0.03 3000
## maternal_lossunclear -0.01 0.01 -0.03 0.01 1796
## older_siblings1 -0.03 0.01 -0.04 -0.01 3000
## older_siblings2 -0.03 0.01 -0.05 -0.01 2650
## older_siblings3 -0.04 0.01 -0.06 -0.02 2369
## older_siblings4 -0.03 0.01 -0.05 0.00 2268
## older_siblings5P -0.04 0.01 -0.07 -0.02 2053
## nr.siblings 0.01 0.00 0.00 0.01 2189
## last_born1 0.01 0.01 -0.01 0.02 3000
## hu_Intercept -2.04 0.12 -2.27 -1.80 1230
## hu_paternalage 0.04 0.06 -0.08 0.15 1404
## hu_age50112 -0.73 0.03 -0.80 -0.67 3000
## hu_age025 4.84 0.05 4.74 4.94 3000
## hu_ageunknown 2.12 0.04 2.05 2.19 3000
## hu_birth_cohort1675M1680 -0.01 0.09 -0.19 0.18 1173
## hu_birth_cohort1680M1685 0.07 0.10 -0.12 0.25 1036
## hu_birth_cohort1685M1690 0.15 0.10 -0.05 0.33 1181
## hu_birth_cohort1690M1695 0.08 0.09 -0.10 0.25 974
## hu_birth_cohort1695M1700 0.00 0.09 -0.18 0.17 939
## hu_birth_cohort1700M1705 0.03 0.09 -0.14 0.20 931
## hu_birth_cohort1705M1710 -0.01 0.09 -0.18 0.15 876
## hu_birth_cohort1710M1715 0.08 0.09 -0.09 0.24 946
## hu_birth_cohort1715M1720 0.15 0.09 -0.01 0.32 870
## hu_birth_cohort1720M1725 0.12 0.08 -0.03 0.28 862
## hu_birth_cohort1725M1730 0.27 0.08 0.11 0.43 815
## hu_birth_cohort1730M1735 0.33 0.08 0.17 0.48 825
## hu_birth_cohort1735M1740 0.27 0.08 0.11 0.42 808
## hu_male1 0.50 0.02 0.45 0.55 3000
## hu_maternalage.factor1420 -0.06 0.06 -0.18 0.04 3000
## hu_maternalage.factor3550 0.00 0.04 -0.09 0.08 3000
## hu_paternalage.mean 0.01 0.06 -0.11 0.13 1762
## hu_paternal_loss01 0.20 0.11 0.00 0.41 3000
## hu_paternal_loss15 0.14 0.08 -0.02 0.30 3000
## hu_paternal_loss510 0.07 0.07 -0.08 0.20 2175
## hu_paternal_loss1015 0.01 0.07 -0.12 0.14 1919
## hu_paternal_loss1520 0.11 0.06 0.00 0.23 1749
## hu_paternal_loss2025 0.05 0.06 -0.06 0.16 1545
## hu_paternal_loss2530 0.11 0.06 0.00 0.22 1600
## hu_paternal_loss3035 0.12 0.05 0.01 0.22 1679
## hu_paternal_loss3540 0.09 0.05 -0.02 0.20 1903
## hu_paternal_loss4045 0.08 0.06 -0.03 0.20 3000
## hu_paternal_lossunclear 0.24 0.06 0.14 0.35 1565
## hu_maternal_loss01 0.31 0.11 0.10 0.52 3000
## hu_maternal_loss15 0.00 0.07 -0.13 0.14 3000
## hu_maternal_loss510 0.12 0.06 0.00 0.25 3000
## hu_maternal_loss1015 0.11 0.06 0.00 0.23 3000
## hu_maternal_loss1520 -0.02 0.06 -0.14 0.11 3000
## hu_maternal_loss2025 0.06 0.06 -0.06 0.16 3000
## hu_maternal_loss2530 -0.06 0.06 -0.17 0.04 3000
## hu_maternal_loss3035 0.00 0.05 -0.09 0.10 3000
## hu_maternal_loss3540 0.06 0.05 -0.03 0.15 3000
## hu_maternal_loss4045 -0.04 0.05 -0.13 0.06 3000
## hu_maternal_lossunclear 0.10 0.05 0.00 0.20 3000
## hu_older_siblings1 0.10 0.05 0.00 0.19 3000
## hu_older_siblings2 0.07 0.05 -0.03 0.17 2201
## hu_older_siblings3 0.07 0.06 -0.05 0.18 1919
## hu_older_siblings4 0.07 0.06 -0.06 0.19 1759
## hu_older_siblings5P 0.04 0.08 -0.11 0.20 1541
## hu_nr.siblings 0.00 0.01 -0.01 0.01 2426
## hu_last_born1 -0.03 0.04 -0.11 0.06 3000
## Rhat
## Intercept 1
## paternalage 1
## age50112 1
## age025 1
## ageunknown 1
## birth_cohort1675M1680 1
## birth_cohort1680M1685 1
## birth_cohort1685M1690 1
## birth_cohort1690M1695 1
## birth_cohort1695M1700 1
## birth_cohort1700M1705 1
## birth_cohort1705M1710 1
## birth_cohort1710M1715 1
## birth_cohort1715M1720 1
## birth_cohort1720M1725 1
## birth_cohort1725M1730 1
## birth_cohort1730M1735 1
## birth_cohort1735M1740 1
## male1 1
## maternalage.factor1420 1
## maternalage.factor3550 1
## paternalage.mean 1
## paternal_loss01 1
## paternal_loss15 1
## paternal_loss510 1
## paternal_loss1015 1
## paternal_loss1520 1
## paternal_loss2025 1
## paternal_loss2530 1
## paternal_loss3035 1
## paternal_loss3540 1
## paternal_loss4045 1
## paternal_lossunclear 1
## maternal_loss01 1
## maternal_loss15 1
## maternal_loss510 1
## maternal_loss1015 1
## maternal_loss1520 1
## maternal_loss2025 1
## maternal_loss2530 1
## maternal_loss3035 1
## maternal_loss3540 1
## maternal_loss4045 1
## maternal_lossunclear 1
## older_siblings1 1
## older_siblings2 1
## older_siblings3 1
## older_siblings4 1
## older_siblings5P 1
## nr.siblings 1
## last_born1 1
## hu_Intercept 1
## hu_paternalage 1
## hu_age50112 1
## hu_age025 1
## hu_ageunknown 1
## hu_birth_cohort1675M1680 1
## hu_birth_cohort1680M1685 1
## hu_birth_cohort1685M1690 1
## hu_birth_cohort1690M1695 1
## hu_birth_cohort1695M1700 1
## hu_birth_cohort1700M1705 1
## hu_birth_cohort1705M1710 1
## hu_birth_cohort1710M1715 1
## hu_birth_cohort1715M1720 1
## hu_birth_cohort1720M1725 1
## hu_birth_cohort1725M1730 1
## hu_birth_cohort1730M1735 1
## hu_birth_cohort1735M1740 1
## hu_male1 1
## hu_maternalage.factor1420 1
## hu_maternalage.factor3550 1
## hu_paternalage.mean 1
## hu_paternal_loss01 1
## hu_paternal_loss15 1
## hu_paternal_loss510 1
## hu_paternal_loss1015 1
## hu_paternal_loss1520 1
## hu_paternal_loss2025 1
## hu_paternal_loss2530 1
## hu_paternal_loss3035 1
## hu_paternal_loss3540 1
## hu_paternal_loss4045 1
## hu_paternal_lossunclear 1
## hu_maternal_loss01 1
## hu_maternal_loss15 1
## hu_maternal_loss510 1
## hu_maternal_loss1015 1
## hu_maternal_loss1520 1
## hu_maternal_loss2025 1
## hu_maternal_loss2530 1
## hu_maternal_loss3035 1
## hu_maternal_loss3540 1
## hu_maternal_loss4045 1
## hu_maternal_lossunclear 1
## hu_older_siblings1 1
## hu_older_siblings2 1
## hu_older_siblings3 1
## hu_older_siblings4 1
## hu_older_siblings5P 1
## hu_nr.siblings 1
## hu_last_born1 1
##
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample
## is a crude measure of effective sample size, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).</code></pre>
</div>
<div id="table-of-fixed-effects" class="section level4">
<h4>Table of fixed effects</h4>
<p>Estimates are <code>exp(b)</code>. When they are referring to the hurdle (hu) component, or a dichotomous outcome, they are odds ratios, when they are referring to a Poisson component, they are hazard ratios. In both cases, they are presented with 95% credibility intervals. To see the effects on the response scale (probability or number of children), consult the marginal effect plots.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">fixed_eff =<span class="st"> </span><span class="kw">data.frame</span>(model_summary$fixed, <span class="dt">check.names =</span> F)
fixed_eff$Est.Error =<span class="st"> </span>fixed_eff$Eff.Sample =<span class="st"> </span>fixed_eff$Rhat =<span class="st"> </span><span class="ot">NULL</span>
fixed_eff$<span class="st">`</span><span class="dt">Odds/hazard ratio</span><span class="st">`</span> =<span class="st"> </span><span class="kw">exp</span>(fixed_eff$Estimate)
fixed_eff$<span class="st">`</span><span class="dt">OR/HR low 95%</span><span class="st">`</span> =<span class="st"> </span><span class="kw">exp</span>(fixed_eff$<span class="st">`</span><span class="dt">l-95% CI</span><span class="st">`</span>)
fixed_eff$<span class="st">`</span><span class="dt">OR/HR high 95%</span><span class="st">`</span> =<span class="st"> </span><span class="kw">exp</span>(fixed_eff$<span class="st">`</span><span class="dt">u-95% CI</span><span class="st">`</span>)
fixed_eff =<span class="st"> </span>fixed_eff %>%<span class="st"> </span><span class="kw">select</span>(<span class="st">`</span><span class="dt">Odds/hazard ratio</span><span class="st">`</span>, <span class="st">`</span><span class="dt">OR/HR low 95%</span><span class="st">`</span>, <span class="st">`</span><span class="dt">OR/HR high 95%</span><span class="st">`</span>)
pander::<span class="kw">pander</span>(fixed_eff)</code></pre></div>
<table>
<colgroup>
<col width="38%" />
<col width="23%" />
<col width="19%" />
<col width="19%" />
</colgroup>
<thead>
<tr class="header">
<th align="center"> </th>
<th align="center">Odds/hazard ratio</th>
<th align="center">OR/HR low 95%</th>
<th align="center">OR/HR high 95%</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="center"><strong>Intercept</strong></td>
<td align="center">6.971</td>
<td align="center">6.635</td>
<td align="center">7.32</td>
</tr>
<tr class="even">
<td align="center"><strong>paternalage</strong></td>
<td align="center">1.008</td>
<td align="center">0.9875</td>
<td align="center">1.028</td>
</tr>
<tr class="odd">
<td align="center"><strong>age50112</strong></td>
<td align="center">1.425</td>
<td align="center">1.41</td>
<td align="center">1.441</td>
</tr>
<tr class="even">
<td align="center"><strong>age025</strong></td>
<td align="center">0.2187</td>
<td align="center">0.2044</td>
<td align="center">0.2334</td>
</tr>
<tr class="odd">
<td align="center"><strong>ageunknown</strong></td>
<td align="center">1.033</td>
<td align="center">1.016</td>
<td align="center">1.05</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1675M1680</strong></td>
<td align="center">1.017</td>
<td align="center">0.9866</td>
<td align="center">1.049</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1680M1685</strong></td>
<td align="center">1.027</td>
<td align="center">0.9956</td>
<td align="center">1.059</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1685M1690</strong></td>
<td align="center">1.012</td>
<td align="center">0.9788</td>
<td align="center">1.045</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1690M1695</strong></td>
<td align="center">1.012</td>
<td align="center">0.981</td>
<td align="center">1.044</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1695M1700</strong></td>
<td align="center">1.006</td>
<td align="center">0.9756</td>
<td align="center">1.038</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1700M1705</strong></td>
<td align="center">0.9998</td>
<td align="center">0.97</td>
<td align="center">1.031</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1705M1710</strong></td>
<td align="center">0.9827</td>
<td align="center">0.9536</td>
<td align="center">1.013</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1710M1715</strong></td>
<td align="center">0.9798</td>
<td align="center">0.9507</td>
<td align="center">1.01</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1715M1720</strong></td>
<td align="center">0.9529</td>
<td align="center">0.925</td>
<td align="center">0.9821</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1720M1725</strong></td>
<td align="center">0.9478</td>
<td align="center">0.9204</td>
<td align="center">0.9758</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1725M1730</strong></td>
<td align="center">0.9173</td>
<td align="center">0.8909</td>
<td align="center">0.9444</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1730M1735</strong></td>
<td align="center">0.9357</td>
<td align="center">0.9091</td>
<td align="center">0.9628</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1735M1740</strong></td>
<td align="center">0.9235</td>
<td align="center">0.8978</td>
<td align="center">0.951</td>
</tr>
<tr class="odd">
<td align="center"><strong>male1</strong></td>
<td align="center">1.064</td>
<td align="center">1.055</td>
<td align="center">1.073</td>
</tr>
<tr class="even">
<td align="center"><strong>maternalage.factor1420</strong></td>
<td align="center">0.9881</td>
<td align="center">0.9703</td>
<td align="center">1.007</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternalage.factor3550</strong></td>
<td align="center">0.9993</td>
<td align="center">0.9836</td>
<td align="center">1.016</td>
</tr>
<tr class="even">
<td align="center"><strong>paternalage.mean</strong></td>
<td align="center">0.9703</td>
<td align="center">0.9492</td>
<td align="center">0.9928</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss01</strong></td>
<td align="center">0.9787</td>
<td align="center">0.9396</td>
<td align="center">1.019</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss15</strong></td>
<td align="center">0.9934</td>
<td align="center">0.9647</td>
<td align="center">1.023</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss510</strong></td>
<td align="center">1.012</td>
<td align="center">0.9856</td>
<td align="center">1.039</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss1015</strong></td>
<td align="center">0.9991</td>
<td align="center">0.9755</td>
<td align="center">1.022</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss1520</strong></td>
<td align="center">1.001</td>
<td align="center">0.9777</td>
<td align="center">1.024</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss2025</strong></td>
<td align="center">0.9971</td>
<td align="center">0.9755</td>
<td align="center">1.018</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss2530</strong></td>
<td align="center">1.001</td>
<td align="center">0.9812</td>
<td align="center">1.021</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss3035</strong></td>
<td align="center">0.9851</td>
<td align="center">0.9667</td>
<td align="center">1.004</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss3540</strong></td>
<td align="center">0.9797</td>
<td align="center">0.9621</td>
<td align="center">0.9977</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss4045</strong></td>
<td align="center">1.002</td>
<td align="center">0.9833</td>
<td align="center">1.021</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_lossunclear</strong></td>
<td align="center">0.9605</td>
<td align="center">0.9383</td>
<td align="center">0.9831</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss01</strong></td>
<td align="center">0.9777</td>
<td align="center">0.9366</td>
<td align="center">1.023</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss15</strong></td>
<td align="center">0.9986</td>
<td align="center">0.971</td>
<td align="center">1.028</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss510</strong></td>
<td align="center">1.014</td>
<td align="center">0.9891</td>
<td align="center">1.041</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss1015</strong></td>
<td align="center">1.004</td>
<td align="center">0.981</td>
<td align="center">1.027</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss1520</strong></td>
<td align="center">1.02</td>
<td align="center">0.9982</td>
<td align="center">1.043</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss2025</strong></td>
<td align="center">1</td>
<td align="center">0.979</td>
<td align="center">1.022</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss2530</strong></td>
<td align="center">0.998</td>
<td align="center">0.9773</td>
<td align="center">1.018</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss3035</strong></td>
<td align="center">1.003</td>
<td align="center">0.9852</td>
<td align="center">1.021</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss3540</strong></td>
<td align="center">1.002</td>
<td align="center">0.9855</td>
<td align="center">1.018</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss4045</strong></td>
<td align="center">1.009</td>
<td align="center">0.9924</td>
<td align="center">1.026</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_lossunclear</strong></td>
<td align="center">0.9883</td>
<td align="center">0.9661</td>
<td align="center">1.012</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings1</strong></td>
<td align="center">0.9714</td>
<td align="center">0.9566</td>
<td align="center">0.986</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings2</strong></td>
<td align="center">0.9686</td>
<td align="center">0.9525</td>
<td align="center">0.9858</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings3</strong></td>
<td align="center">0.9633</td>
<td align="center">0.945</td>
<td align="center">0.9826</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings4</strong></td>
<td align="center">0.9748</td>
<td align="center">0.954</td>
<td align="center">0.9967</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings5P</strong></td>
<td align="center">0.9592</td>
<td align="center">0.9334</td>
<td align="center">0.9843</td>
</tr>
<tr class="even">
<td align="center"><strong>nr.siblings</strong></td>
<td align="center">1.007</td>
<td align="center">1.004</td>
<td align="center">1.009</td>
</tr>
<tr class="odd">
<td align="center"><strong>last_born1</strong></td>
<td align="center">1.007</td>
<td align="center">0.9927</td>
<td align="center">1.022</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_Intercept</strong></td>
<td align="center">0.1306</td>
<td align="center">0.1032</td>
<td align="center">0.1655</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternalage</strong></td>
<td align="center">1.039</td>
<td align="center">0.9247</td>
<td align="center">1.162</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_age50112</strong></td>
<td align="center">0.4802</td>
<td align="center">0.45</td>
<td align="center">0.5134</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_age025</strong></td>
<td align="center">126.8</td>
<td align="center">114.6</td>
<td align="center">139.6</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_ageunknown</strong></td>
<td align="center">8.31</td>
<td align="center">7.746</td>
<td align="center">8.914</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1675M1680</strong></td>
<td align="center">0.9938</td>
<td align="center">0.8303</td>
<td align="center">1.194</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1680M1685</strong></td>
<td align="center">1.068</td>
<td align="center">0.8852</td>
<td align="center">1.287</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1685M1690</strong></td>
<td align="center">1.158</td>
<td align="center">0.951</td>
<td align="center">1.395</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1690M1695</strong></td>
<td align="center">1.079</td>
<td align="center">0.9028</td>
<td align="center">1.287</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1695M1700</strong></td>
<td align="center">0.9953</td>
<td align="center">0.8349</td>
<td align="center">1.187</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1700M1705</strong></td>
<td align="center">1.033</td>
<td align="center">0.8712</td>
<td align="center">1.225</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1705M1710</strong></td>
<td align="center">0.986</td>
<td align="center">0.8328</td>
<td align="center">1.167</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1710M1715</strong></td>
<td align="center">1.079</td>
<td align="center">0.9119</td>
<td align="center">1.272</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1715M1720</strong></td>
<td align="center">1.164</td>
<td align="center">0.9885</td>
<td align="center">1.377</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1720M1725</strong></td>
<td align="center">1.131</td>
<td align="center">0.9669</td>
<td align="center">1.327</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1725M1730</strong></td>
<td align="center">1.308</td>
<td align="center">1.111</td>
<td align="center">1.536</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1730M1735</strong></td>
<td align="center">1.39</td>
<td align="center">1.185</td>
<td align="center">1.62</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1735M1740</strong></td>
<td align="center">1.307</td>
<td align="center">1.117</td>
<td align="center">1.524</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_male1</strong></td>
<td align="center">1.648</td>
<td align="center">1.569</td>
<td align="center">1.729</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternalage.factor1420</strong></td>
<td align="center">0.9383</td>
<td align="center">0.8393</td>
<td align="center">1.042</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternalage.factor3550</strong></td>
<td align="center">0.9962</td>
<td align="center">0.9178</td>
<td align="center">1.085</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternalage.mean</strong></td>
<td align="center">1.009</td>
<td align="center">0.8956</td>
<td align="center">1.138</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss01</strong></td>
<td align="center">1.226</td>
<td align="center">0.9986</td>
<td align="center">1.502</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss15</strong></td>
<td align="center">1.146</td>
<td align="center">0.9834</td>
<td align="center">1.347</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss510</strong></td>
<td align="center">1.068</td>
<td align="center">0.9252</td>
<td align="center">1.22</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss1015</strong></td>
<td align="center">1.012</td>
<td align="center">0.8886</td>
<td align="center">1.15</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss1520</strong></td>
<td align="center">1.119</td>
<td align="center">0.997</td>
<td align="center">1.258</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss2025</strong></td>
<td align="center">1.049</td>
<td align="center">0.9394</td>
<td align="center">1.174</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss2530</strong></td>
<td align="center">1.121</td>
<td align="center">1.003</td>
<td align="center">1.249</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss3035</strong></td>
<td align="center">1.124</td>
<td align="center">1.014</td>
<td align="center">1.246</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss3540</strong></td>
<td align="center">1.095</td>
<td align="center">0.9847</td>
<td align="center">1.219</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss4045</strong></td>
<td align="center">1.085</td>
<td align="center">0.966</td>
<td align="center">1.221</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_lossunclear</strong></td>
<td align="center">1.276</td>
<td align="center">1.145</td>
<td align="center">1.424</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss01</strong></td>
<td align="center">1.367</td>
<td align="center">1.11</td>
<td align="center">1.685</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss15</strong></td>
<td align="center">1.005</td>
<td align="center">0.8773</td>
<td align="center">1.145</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss510</strong></td>
<td align="center">1.13</td>
<td align="center">1.004</td>
<td align="center">1.278</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss1015</strong></td>
<td align="center">1.121</td>
<td align="center">0.9959</td>
<td align="center">1.262</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss1520</strong></td>
<td align="center">0.9837</td>
<td align="center">0.871</td>
<td align="center">1.111</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss2025</strong></td>
<td align="center">1.057</td>
<td align="center">0.9437</td>
<td align="center">1.179</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss2530</strong></td>
<td align="center">0.9408</td>
<td align="center">0.8439</td>
<td align="center">1.045</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss3035</strong></td>
<td align="center">1.003</td>
<td align="center">0.9134</td>
<td align="center">1.106</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss3540</strong></td>
<td align="center">1.057</td>
<td align="center">0.9669</td>
<td align="center">1.165</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss4045</strong></td>
<td align="center">0.9654</td>
<td align="center">0.876</td>
<td align="center">1.062</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_lossunclear</strong></td>
<td align="center">1.105</td>
<td align="center">1</td>
<td align="center">1.217</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_older_siblings1</strong></td>
<td align="center">1.101</td>
<td align="center">1.005</td>
<td align="center">1.209</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_older_siblings2</strong></td>
<td align="center">1.074</td>
<td align="center">0.9736</td>
<td align="center">1.186</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_older_siblings3</strong></td>
<td align="center">1.069</td>
<td align="center">0.9547</td>
<td align="center">1.198</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_older_siblings4</strong></td>
<td align="center">1.067</td>
<td align="center">0.9447</td>
<td align="center">1.209</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_older_siblings5P</strong></td>
<td align="center">1.043</td>
<td align="center">0.8969</td>
<td align="center">1.218</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_nr.siblings</strong></td>
<td align="center">0.9979</td>
<td align="center">0.9867</td>
<td align="center">1.009</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_last_born1</strong></td>
<td align="center">0.9747</td>
<td align="center">0.8938</td>
<td align="center">1.064</td>
</tr>