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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>Historical Sweden Sensitivity</title>
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<div style="width:100%;height:200px;background-image:url('library/header/ddb.jpg');background-size:cover;"></div>
<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>
<div class="container-fluid main-container">
<div id="historical-sweden-sensitivity-analyses" class="section level1 tab-content">
<h1>Historical Sweden 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$<span class="kw">set</span>(<span class="dt">warning=</span><span class="ot">TRUE</span>, <span class="dt">cache=</span>F,<span class="dt">cache.lazy=</span>F,<span class="dt">tidy=</span><span class="ot">FALSE</span>,<span class="dt">autodep=</span><span class="ot">TRUE</span>,<span class="dt">dev=</span><span class="kw">c</span>(<span class="st">'png'</span>,<span class="st">'pdf'</span>),<span class="dt">fig.width=</span><span class="dv">20</span>,<span class="dt">fig.height=</span><span class="fl">12.5</span>,<span class="dt">out.width=</span><span class="st">'1440px'</span>,<span class="dt">out.height=</span><span class="st">'900px'</span>)
make_path =<span class="st"> </span>function(file) {
<span class="kw">get_coefficient_path</span>(file, <span class="st">"ddb"</span>)
}
<span class="co"># options for each chunk calling knit_child</span>
opts_chunk$<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>ddb.1</code> dataset contains only those participants where paternal age is known and the birthdate is between 1760 and 1880.</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: 56662)
## 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: 14746)
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample Rhat
## sd(Intercept) 0.35 0.01 0.34 0.36 1244 1.00
## sd(hu_Intercept) 0.95 0.02 0.90 0.99 892 1.01
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample
## Intercept 1.08 0.08 0.93 1.24 193
## paternalage -0.05 0.02 -0.09 -0.01 791
## age50102 0.27 0.01 0.25 0.29 2347
## age025 -1.86 0.15 -2.16 -1.59 2005
## ageunknown 0.13 0.01 0.10 0.15 2500
## birth_cohort1750M1755 -0.14 0.11 -0.37 0.08 540
## birth_cohort1755M1760 0.12 0.09 -0.06 0.31 278
## birth_cohort1760M1765 0.20 0.09 0.03 0.36 215
## birth_cohort1765M1770 0.15 0.08 -0.02 0.31 203
## birth_cohort1770M1775 0.11 0.09 -0.06 0.28 217
## birth_cohort1775M1780 0.09 0.08 -0.08 0.26 205
## birth_cohort1780M1785 0.20 0.08 0.03 0.36 209
## birth_cohort1785M1790 0.15 0.08 -0.01 0.31 194
## birth_cohort1790M1795 0.08 0.08 -0.08 0.23 183
## birth_cohort1795M1800 0.07 0.08 -0.07 0.22 177
## birth_cohort1800M1805 0.01 0.08 -0.13 0.16 173
## birth_cohort1805M1810 0.03 0.07 -0.11 0.18 170
## birth_cohort1810M1815 0.06 0.07 -0.08 0.21 166
## birth_cohort1815M1820 0.12 0.07 -0.01 0.27 165
## birth_cohort1820M1825 0.16 0.07 0.02 0.30 165
## birth_cohort1825M1830 0.13 0.07 -0.01 0.28 164
## birth_cohort1830M1835 0.17 0.07 0.03 0.31 168
## birth_cohort1835M1840 0.18 0.07 0.03 0.32 168
## birth_cohort1840M1845 0.17 0.07 0.02 0.31 169
## birth_cohort1845M1850 0.18 0.07 0.04 0.33 166
## male1 0.03 0.01 0.02 0.04 3000
## maternalage.factor1020 0.04 0.03 -0.02 0.10 3000
## maternalage.factor3559 0.06 0.01 0.04 0.08 2000
## paternalage.mean 0.06 0.02 0.02 0.09 811
## paternal_loss01 0.06 0.04 -0.01 0.13 3000
## paternal_loss15 0.03 0.02 -0.01 0.08 1369
## paternal_loss510 -0.02 0.02 -0.06 0.02 1351
## paternal_loss1015 -0.02 0.02 -0.05 0.02 1399
## paternal_loss1520 -0.07 0.02 -0.10 -0.03 1179
## paternal_loss2025 -0.02 0.02 -0.05 0.01 1058
## paternal_loss2530 -0.02 0.01 -0.05 0.01 1063
## paternal_loss3035 -0.02 0.01 -0.04 0.01 1198
## paternal_loss3540 0.02 0.01 0.00 0.05 1291
## paternal_loss4045 0.03 0.01 0.00 0.06 1811
## maternal_loss01 0.08 0.05 -0.03 0.18 3000
## maternal_loss15 0.01 0.03 -0.04 0.07 1577
## maternal_loss510 -0.01 0.02 -0.06 0.03 1618
## maternal_loss1015 -0.03 0.02 -0.07 0.02 1640
## maternal_loss1520 -0.03 0.02 -0.07 0.01 1708
## maternal_loss2025 -0.06 0.02 -0.10 -0.03 1460
## maternal_loss2530 -0.02 0.02 -0.05 0.01 1492
## maternal_loss3035 -0.02 0.01 -0.04 0.01 1340
## maternal_loss3540 0.00 0.01 -0.02 0.03 1614
## maternal_loss4045 -0.01 0.01 -0.04 0.01 2046
## older_siblings1 0.02 0.01 0.00 0.04 1513
## older_siblings2 0.03 0.01 0.00 0.06 947
## older_siblings3 0.03 0.02 0.00 0.07 939
## older_siblings4 0.01 0.02 -0.03 0.05 896
## older_siblings5P 0.02 0.03 -0.03 0.07 845
## nr.siblings 0.02 0.00 0.02 0.03 877
## last_born1 -0.02 0.01 -0.04 0.00 3000
## hu_Intercept -0.27 0.23 -0.73 0.20 192
## hu_paternalage -0.33 0.07 -0.47 -0.20 655
## hu_age50102 -1.32 0.05 -1.42 -1.23 2367
## hu_age025 5.99 0.11 5.78 6.19 3000
## hu_ageunknown 0.74 0.04 0.67 0.82 2175
## hu_birth_cohort1750M1755 0.26 0.34 -0.42 0.95 522
## hu_birth_cohort1755M1760 0.00 0.29 -0.58 0.57 319
## hu_birth_cohort1760M1765 -0.28 0.27 -0.81 0.28 245
## hu_birth_cohort1765M1770 -0.53 0.26 -1.06 -0.02 236
## hu_birth_cohort1770M1775 -0.37 0.28 -0.91 0.18 242
## hu_birth_cohort1775M1780 -0.39 0.26 -0.91 0.14 227
## hu_birth_cohort1780M1785 -0.47 0.27 -1.02 0.07 242
## hu_birth_cohort1785M1790 -0.29 0.25 -0.79 0.24 227
## hu_birth_cohort1790M1795 -0.15 0.23 -0.62 0.30 191
## hu_birth_cohort1795M1800 -0.21 0.23 -0.68 0.26 189
## hu_birth_cohort1800M1805 -0.32 0.23 -0.78 0.13 181
## hu_birth_cohort1805M1810 -0.44 0.23 -0.89 0.02 174
## hu_birth_cohort1810M1815 -0.33 0.22 -0.78 0.12 176
## hu_birth_cohort1815M1820 -0.53 0.22 -0.99 -0.09 173
## hu_birth_cohort1820M1825 -0.73 0.22 -1.18 -0.31 170
## hu_birth_cohort1825M1830 -0.84 0.22 -1.29 -0.40 168
## hu_birth_cohort1830M1835 -1.02 0.22 -1.47 -0.58 170
## hu_birth_cohort1835M1840 -1.10 0.22 -1.55 -0.66 168
## hu_birth_cohort1840M1845 -1.05 0.22 -1.49 -0.61 168
## hu_birth_cohort1845M1850 -1.09 0.22 -1.53 -0.65 168
## hu_male1 -0.05 0.02 -0.09 0.00 3000
## hu_maternalage.factor1020 0.00 0.11 -0.22 0.22 3000
## hu_maternalage.factor3559 0.07 0.04 0.00 0.14 3000
## hu_paternalage.mean 0.32 0.07 0.18 0.46 696
## hu_paternal_loss01 0.58 0.12 0.36 0.81 3000
## hu_paternal_loss15 0.60 0.08 0.45 0.75 1602
## hu_paternal_loss510 0.66 0.06 0.54 0.79 1461
## hu_paternal_loss1015 0.45 0.06 0.33 0.57 1414
## hu_paternal_loss1520 0.42 0.05 0.31 0.53 1158
## hu_paternal_loss2025 0.30 0.05 0.20 0.40 1203
## hu_paternal_loss2530 0.24 0.05 0.15 0.34 1152
## hu_paternal_loss3035 0.18 0.05 0.08 0.27 1123
## hu_paternal_loss3540 0.15 0.05 0.06 0.24 1250
## hu_paternal_loss4045 0.07 0.05 -0.03 0.16 3000
## hu_maternal_loss01 0.99 0.16 0.68 1.30 3000
## hu_maternal_loss15 0.77 0.09 0.60 0.94 3000
## hu_maternal_loss510 0.73 0.07 0.59 0.86 3000
## hu_maternal_loss1015 0.72 0.07 0.59 0.85 3000
## hu_maternal_loss1520 0.59 0.06 0.48 0.72 3000
## hu_maternal_loss2025 0.42 0.05 0.31 0.52 3000
## hu_maternal_loss2530 0.24 0.05 0.15 0.34 1978
## hu_maternal_loss3035 0.21 0.05 0.11 0.30 1803
## hu_maternal_loss3540 0.12 0.04 0.04 0.20 3000
## hu_maternal_loss4045 0.05 0.04 -0.04 0.13 3000
## hu_older_siblings1 0.09 0.04 0.02 0.17 1267
## hu_older_siblings2 0.17 0.05 0.07 0.27 858
## hu_older_siblings3 0.27 0.06 0.14 0.40 751
## hu_older_siblings4 0.26 0.08 0.11 0.43 781
## hu_older_siblings5P 0.37 0.10 0.17 0.58 666
## hu_nr.siblings -0.01 0.01 -0.03 0.01 817
## hu_last_born1 -0.03 0.03 -0.09 0.04 3000
## Rhat
## Intercept 1.03
## paternalage 1.00
## age50102 1.00
## age025 1.00
## ageunknown 1.00
## birth_cohort1750M1755 1.01
## birth_cohort1755M1760 1.02
## birth_cohort1760M1765 1.02
## birth_cohort1765M1770 1.02
## birth_cohort1770M1775 1.02
## birth_cohort1775M1780 1.03
## birth_cohort1780M1785 1.03
## birth_cohort1785M1790 1.03
## birth_cohort1790M1795 1.03
## birth_cohort1795M1800 1.03
## birth_cohort1800M1805 1.03
## birth_cohort1805M1810 1.03
## birth_cohort1810M1815 1.03
## birth_cohort1815M1820 1.03
## birth_cohort1820M1825 1.03
## birth_cohort1825M1830 1.03
## birth_cohort1830M1835 1.03
## birth_cohort1835M1840 1.03
## birth_cohort1840M1845 1.03
## birth_cohort1845M1850 1.03
## male1 1.00
## maternalage.factor1020 1.00
## maternalage.factor3559 1.00
## paternalage.mean 1.00
## paternal_loss01 1.00
## paternal_loss15 1.00
## paternal_loss510 1.00
## paternal_loss1015 1.00
## paternal_loss1520 1.00
## paternal_loss2025 1.00
## paternal_loss2530 1.01
## paternal_loss3035 1.01
## paternal_loss3540 1.01
## paternal_loss4045 1.00
## maternal_loss01 1.00
## maternal_loss15 1.00
## maternal_loss510 1.00
## maternal_loss1015 1.00
## maternal_loss1520 1.00
## maternal_loss2025 1.00
## maternal_loss2530 1.00
## maternal_loss3035 1.00
## maternal_loss3540 1.00
## maternal_loss4045 1.00
## older_siblings1 1.00
## older_siblings2 1.00
## older_siblings3 1.00
## older_siblings4 1.00
## older_siblings5P 1.00
## nr.siblings 1.01
## last_born1 1.00
## hu_Intercept 1.02
## hu_paternalage 1.00
## hu_age50102 1.00
## hu_age025 1.00
## hu_ageunknown 1.00
## hu_birth_cohort1750M1755 1.01
## hu_birth_cohort1755M1760 1.01
## hu_birth_cohort1760M1765 1.01
## hu_birth_cohort1765M1770 1.01
## hu_birth_cohort1770M1775 1.02
## hu_birth_cohort1775M1780 1.01
## hu_birth_cohort1780M1785 1.01
## hu_birth_cohort1785M1790 1.02
## hu_birth_cohort1790M1795 1.02
## hu_birth_cohort1795M1800 1.02
## hu_birth_cohort1800M1805 1.02
## hu_birth_cohort1805M1810 1.02
## hu_birth_cohort1810M1815 1.02
## hu_birth_cohort1815M1820 1.02
## hu_birth_cohort1820M1825 1.02
## hu_birth_cohort1825M1830 1.02
## hu_birth_cohort1830M1835 1.02
## hu_birth_cohort1835M1840 1.02
## hu_birth_cohort1840M1845 1.02
## hu_birth_cohort1845M1850 1.02
## hu_male1 1.00
## hu_maternalage.factor1020 1.00
## hu_maternalage.factor3559 1.00
## hu_paternalage.mean 1.00
## hu_paternal_loss01 1.00
## hu_paternal_loss15 1.00
## hu_paternal_loss510 1.00
## hu_paternal_loss1015 1.00
## hu_paternal_loss1520 1.00
## hu_paternal_loss2025 1.00
## hu_paternal_loss2530 1.00
## hu_paternal_loss3035 1.00
## hu_paternal_loss3540 1.00
## hu_paternal_loss4045 1.00
## hu_maternal_loss01 1.00
## hu_maternal_loss15 1.00
## hu_maternal_loss510 1.00
## hu_maternal_loss1015 1.00
## hu_maternal_loss1520 1.00
## hu_maternal_loss2025 1.00
## hu_maternal_loss2530 1.00
## hu_maternal_loss3035 1.00
## hu_maternal_loss3540 1.00
## hu_maternal_loss4045 1.00
## hu_older_siblings1 1.00
## hu_older_siblings2 1.00
## hu_older_siblings3 1.00
## hu_older_siblings4 1.00
## hu_older_siblings5P 1.00
## hu_nr.siblings 1.00
## hu_last_born1 1.00
##
## 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">2.959</td>
<td align="center">2.537</td>
<td align="center">3.451</td>
</tr>
<tr class="even">
<td align="center"><strong>paternalage</strong></td>
<td align="center">0.9515</td>
<td align="center">0.9173</td>
<td align="center">0.9882</td>
</tr>
<tr class="odd">
<td align="center"><strong>age50102</strong></td>
<td align="center">1.309</td>
<td align="center">1.278</td>
<td align="center">1.341</td>
</tr>
<tr class="even">
<td align="center"><strong>age025</strong></td>
<td align="center">0.1555</td>
<td align="center">0.1149</td>
<td align="center">0.2044</td>
</tr>
<tr class="odd">
<td align="center"><strong>ageunknown</strong></td>
<td align="center">1.135</td>
<td align="center">1.111</td>
<td align="center">1.16</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1750M1755</strong></td>
<td align="center">0.8677</td>
<td align="center">0.6918</td>
<td align="center">1.084</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1755M1760</strong></td>
<td align="center">1.132</td>
<td align="center">0.9435</td>
<td align="center">1.366</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1760M1765</strong></td>
<td align="center">1.218</td>
<td align="center">1.029</td>
<td align="center">1.436</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1765M1770</strong></td>
<td align="center">1.163</td>
<td align="center">0.9844</td>
<td align="center">1.366</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1770M1775</strong></td>
<td align="center">1.112</td>
<td align="center">0.9393</td>
<td align="center">1.32</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1775M1780</strong></td>
<td align="center">1.098</td>
<td align="center">0.926</td>
<td align="center">1.291</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1780M1785</strong></td>
<td align="center">1.216</td>
<td align="center">1.034</td>
<td align="center">1.435</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1785M1790</strong></td>
<td align="center">1.167</td>
<td align="center">0.9931</td>
<td align="center">1.366</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1790M1795</strong></td>
<td align="center">1.078</td>
<td align="center">0.9231</td>
<td align="center">1.256</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1795M1800</strong></td>
<td align="center">1.076</td>
<td align="center">0.9287</td>
<td align="center">1.25</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1800M1805</strong></td>
<td align="center">1.012</td>
<td align="center">0.8769</td>
<td align="center">1.169</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1805M1810</strong></td>
<td align="center">1.034</td>
<td align="center">0.8933</td>
<td align="center">1.197</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1810M1815</strong></td>
<td align="center">1.063</td>
<td align="center">0.9207</td>
<td align="center">1.228</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1815M1820</strong></td>
<td align="center">1.131</td>
<td align="center">0.9854</td>
<td align="center">1.304</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1820M1825</strong></td>
<td align="center">1.172</td>
<td align="center">1.018</td>
<td align="center">1.354</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1825M1830</strong></td>
<td align="center">1.142</td>
<td align="center">0.9924</td>
<td align="center">1.322</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1830M1835</strong></td>
<td align="center">1.184</td>
<td align="center">1.029</td>
<td align="center">1.364</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1835M1840</strong></td>
<td align="center">1.195</td>
<td align="center">1.035</td>
<td align="center">1.382</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1840M1845</strong></td>
<td align="center">1.183</td>
<td align="center">1.025</td>
<td align="center">1.366</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1845M1850</strong></td>
<td align="center">1.2</td>
<td align="center">1.041</td>
<td align="center">1.386</td>
</tr>
<tr class="even">
<td align="center"><strong>male1</strong></td>
<td align="center">1.031</td>
<td align="center">1.018</td>
<td align="center">1.045</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternalage.factor1020</strong></td>
<td align="center">1.041</td>
<td align="center">0.9836</td>
<td align="center">1.102</td>
</tr>
<tr class="even">
<td align="center"><strong>maternalage.factor3559</strong></td>
<td align="center">1.065</td>
<td align="center">1.042</td>
<td align="center">1.088</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternalage.mean</strong></td>
<td align="center">1.058</td>
<td align="center">1.018</td>
<td align="center">1.098</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss01</strong></td>
<td align="center">1.063</td>
<td align="center">0.9908</td>
<td align="center">1.141</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss15</strong></td>
<td align="center">1.035</td>
<td align="center">0.9882</td>
<td align="center">1.085</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss510</strong></td>
<td align="center">0.9829</td>
<td align="center">0.9425</td>
<td align="center">1.023</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss1015</strong></td>
<td align="center">0.9832</td>
<td align="center">0.9475</td>
<td align="center">1.019</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss1520</strong></td>
<td align="center">0.9344</td>
<td align="center">0.9046</td>
<td align="center">0.9664</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss2025</strong></td>
<td align="center">0.9767</td>
<td align="center">0.9466</td>
<td align="center">1.008</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss2530</strong></td>
<td align="center">0.9806</td>
<td align="center">0.9522</td>
<td align="center">1.009</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss3035</strong></td>
<td align="center">0.9845</td>
<td align="center">0.9582</td>
<td align="center">1.012</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss3540</strong></td>
<td align="center">1.023</td>
<td align="center">0.9977</td>
<td align="center">1.05</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss4045</strong></td>
<td align="center">1.031</td>
<td align="center">1.004</td>
<td align="center">1.057</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss01</strong></td>
<td align="center">1.082</td>
<td align="center">0.9729</td>
<td align="center">1.201</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss15</strong></td>
<td align="center">1.014</td>
<td align="center">0.9595</td>
<td align="center">1.072</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss510</strong></td>
<td align="center">0.9884</td>
<td align="center">0.9416</td>
<td align="center">1.035</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss1015</strong></td>
<td align="center">0.9743</td>
<td align="center">0.9334</td>
<td align="center">1.017</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss1520</strong></td>
<td align="center">0.9711</td>
<td align="center">0.9352</td>
<td align="center">1.009</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss2025</strong></td>
<td align="center">0.9388</td>
<td align="center">0.9089</td>
<td align="center">0.9705</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss2530</strong></td>
<td align="center">0.9799</td>
<td align="center">0.9498</td>
<td align="center">1.009</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss3035</strong></td>
<td align="center">0.9838</td>
<td align="center">0.9586</td>
<td align="center">1.01</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss3540</strong></td>
<td align="center">1.005</td>
<td align="center">0.98</td>
<td align="center">1.03</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss4045</strong></td>
<td align="center">0.9861</td>
<td align="center">0.9641</td>
<td align="center">1.01</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings1</strong></td>
<td align="center">1.017</td>
<td align="center">0.9962</td>
<td align="center">1.038</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings2</strong></td>
<td align="center">1.029</td>
<td align="center">1.001</td>
<td align="center">1.057</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings3</strong></td>
<td align="center">1.033</td>
<td align="center">0.9978</td>
<td align="center">1.068</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings4</strong></td>
<td align="center">1.013</td>
<td align="center">0.9703</td>
<td align="center">1.055</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings5P</strong></td>
<td align="center">1.021</td>
<td align="center">0.9673</td>
<td align="center">1.075</td>
</tr>
<tr class="odd">
<td align="center"><strong>nr.siblings</strong></td>
<td align="center">1.023</td>
<td align="center">1.018</td>
<td align="center">1.029</td>
</tr>
<tr class="even">
<td align="center"><strong>last_born1</strong></td>
<td align="center">0.9814</td>
<td align="center">0.9627</td>
<td align="center">1</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_Intercept</strong></td>
<td align="center">0.7633</td>
<td align="center">0.4801</td>
<td align="center">1.219</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternalage</strong></td>
<td align="center">0.7185</td>
<td align="center">0.626</td>
<td align="center">0.8199</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_age50102</strong></td>
<td align="center">0.2662</td>
<td align="center">0.2413</td>
<td align="center">0.2924</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_age025</strong></td>
<td align="center">399.2</td>
<td align="center">323.9</td>
<td align="center">488.1</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_ageunknown</strong></td>
<td align="center">2.096</td>
<td align="center">1.946</td>
<td align="center">2.26</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1750M1755</strong></td>
<td align="center">1.291</td>
<td align="center">0.6596</td>
<td align="center">2.576</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1755M1760</strong></td>
<td align="center">0.9961</td>
<td align="center">0.5614</td>
<td align="center">1.762</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1760M1765</strong></td>
<td align="center">0.7561</td>
<td align="center">0.4448</td>
<td align="center">1.317</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1765M1770</strong></td>
<td align="center">0.586</td>
<td align="center">0.3454</td>
<td align="center">0.9838</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1770M1775</strong></td>
<td align="center">0.6883</td>
<td align="center">0.4031</td>
<td align="center">1.201</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1775M1780</strong></td>
<td align="center">0.676</td>
<td align="center">0.4031</td>
<td align="center">1.148</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1780M1785</strong></td>
<td align="center">0.6223</td>
<td align="center">0.3622</td>
<td align="center">1.068</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1785M1790</strong></td>
<td align="center">0.7488</td>
<td align="center">0.4537</td>
<td align="center">1.266</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1790M1795</strong></td>
<td align="center">0.8599</td>
<td align="center">0.5402</td>
<td align="center">1.356</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1795M1800</strong></td>
<td align="center">0.8088</td>
<td align="center">0.509</td>
<td align="center">1.291</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1800M1805</strong></td>
<td align="center">0.7227</td>
<td align="center">0.4566</td>
<td align="center">1.134</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1805M1810</strong></td>
<td align="center">0.6438</td>
<td align="center">0.411</td>
<td align="center">1.025</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1810M1815</strong></td>
<td align="center">0.721</td>
<td align="center">0.4577</td>
<td align="center">1.124</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1815M1820</strong></td>
<td align="center">0.5895</td>
<td align="center">0.3732</td>
<td align="center">0.9119</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1820M1825</strong></td>
<td align="center">0.4795</td>
<td align="center">0.3072</td>
<td align="center">0.7337</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1825M1830</strong></td>
<td align="center">0.4311</td>
<td align="center">0.2765</td>
<td align="center">0.669</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1830M1835</strong></td>
<td align="center">0.3593</td>
<td align="center">0.2297</td>
<td align="center">0.5579</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1835M1840</strong></td>
<td align="center">0.3341</td>
<td align="center">0.2125</td>
<td align="center">0.519</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1840M1845</strong></td>
<td align="center">0.3513</td>
<td align="center">0.2262</td>
<td align="center">0.5424</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1845M1850</strong></td>
<td align="center">0.3366</td>
<td align="center">0.2167</td>
<td align="center">0.5216</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_male1</strong></td>
<td align="center">0.9548</td>
<td align="center">0.9127</td>
<td align="center">0.9992</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternalage.factor1020</strong></td>
<td align="center">1</td>
<td align="center">0.8004</td>
<td align="center">1.243</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternalage.factor3559</strong></td>
<td align="center">1.075</td>
<td align="center">1.002</td>
<td align="center">1.152</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternalage.mean</strong></td>
<td align="center">1.371</td>
<td align="center">1.199</td>
<td align="center">1.579</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss01</strong></td>
<td align="center">1.787</td>
<td align="center">1.435</td>
<td align="center">2.244</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss15</strong></td>
<td align="center">1.825</td>
<td align="center">1.566</td>
<td align="center">2.118</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss510</strong></td>
<td align="center">1.938</td>
<td align="center">1.715</td>
<td align="center">2.193</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss1015</strong></td>
<td align="center">1.572</td>
<td align="center">1.392</td>
<td align="center">1.773</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss1520</strong></td>
<td align="center">1.52</td>
<td align="center">1.367</td>
<td align="center">1.698</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss2025</strong></td>
<td align="center">1.354</td>
<td align="center">1.22</td>
<td align="center">1.496</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss2530</strong></td>
<td align="center">1.27</td>
<td align="center">1.157</td>
<td align="center">1.403</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss3035</strong></td>
<td align="center">1.194</td>
<td align="center">1.082</td>
<td align="center">1.311</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss3540</strong></td>
<td align="center">1.161</td>
<td align="center">1.064</td>
<td align="center">1.269</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss4045</strong></td>
<td align="center">1.072</td>
<td align="center">0.9735</td>
<td align="center">1.178</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss01</strong></td>
<td align="center">2.685</td>
<td align="center">1.979</td>
<td align="center">3.667</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss15</strong></td>
<td align="center">2.165</td>
<td align="center">1.814</td>
<td align="center">2.551</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss510</strong></td>
<td align="center">2.067</td>
<td align="center">1.808</td>
<td align="center">2.368</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss1015</strong></td>
<td align="center">2.051</td>
<td align="center">1.798</td>