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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" />
<meta name="generator" content="pandoc" />
<title>Krummhörn Sensitivity</title>
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<div style="width:100%;height:200px;background-image:url('library/header/krmh.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="krummhorn-sensitivity-analyses" class="section level1 tab-content">
<h1>Krummhörn 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$<span class="kw">set</span>(<span class="dt">warning=</span><span class="ot">TRUE</span>, <span class="dt">cache=</span>F,<span class="dt">cache.lazy=</span>F,<span class="dt">tidy=</span><span class="ot">FALSE</span>,<span class="dt">autodep=</span><span class="ot">TRUE</span>,<span class="dt">dev=</span><span class="kw">c</span>(<span class="st">'png'</span>,<span class="st">'pdf'</span>),<span class="dt">fig.width=</span><span class="dv">20</span>,<span class="dt">fig.height=</span><span class="fl">12.5</span>,<span class="dt">out.width=</span><span class="st">'1440px'</span>,<span class="dt">out.height=</span><span class="st">'900px'</span>)
make_path =<span class="st"> </span>function(file) {
<span class="kw">get_coefficient_path</span>(file, <span class="st">"krmh"</span>)
}
<span class="co"># options for each chunk calling knit_child</span>
opts_chunk$<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>krmh.1</code> dataset contains only those participants where paternal age is known, the birthdate is between 1720 and 1850 and the marriage is known (meaning we know when it started and how it ended by spousal death). In known marriages we can assume that missing death dates for the kids mean that they migrated out.</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: 9446)
## 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: 2186)
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample Rhat
## sd(Intercept) 0.22 0.01 0.19 0.24 1033 1.00
## sd(hu_Intercept) 0.68 0.05 0.58 0.79 854 1.01
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample
## Intercept 1.52 0.08 1.36 1.68 1161
## paternalage 0.07 0.05 -0.03 0.18 645
## age50101 0.25 0.03 0.18 0.32 2214
## age025 -1.74 0.32 -2.43 -1.17 1940
## ageunknown 0.06 0.04 0.00 0.13 1862
## birth_cohort1760M1765 0.01 0.06 -0.12 0.13 1232
## birth_cohort1765M1770 -0.14 0.06 -0.25 -0.03 894
## birth_cohort1770M1775 -0.13 0.06 -0.25 -0.02 626
## birth_cohort1775M1780 -0.03 0.05 -0.14 0.08 526
## birth_cohort1780M1785 -0.13 0.06 -0.24 -0.02 690
## birth_cohort1785M1790 -0.10 0.05 -0.20 0.00 723
## birth_cohort1790M1795 -0.08 0.05 -0.19 0.02 695
## birth_cohort1795M1800 -0.11 0.05 -0.20 -0.01 479
## birth_cohort1800M1805 -0.11 0.05 -0.20 -0.02 610
## birth_cohort1805M1810 -0.12 0.05 -0.22 -0.02 480
## birth_cohort1810M1815 -0.07 0.05 -0.16 0.03 466
## birth_cohort1815M1820 -0.12 0.05 -0.21 -0.03 441
## birth_cohort1820M1825 -0.16 0.05 -0.25 -0.07 453
## birth_cohort1825M1830 -0.18 0.05 -0.27 -0.09 433
## birth_cohort1830M1835 -0.15 0.05 -0.24 -0.05 517
## male1 0.14 0.02 0.09 0.18 3000
## maternalage.factor1420 -0.03 0.09 -0.21 0.15 3000
## maternalage.factor3550 -0.01 0.03 -0.06 0.05 3000
## paternalage.mean -0.08 0.05 -0.18 0.03 664
## paternal_loss01 -0.15 0.07 -0.30 -0.01 3000
## paternal_loss15 -0.03 0.05 -0.13 0.07 1791
## paternal_loss510 -0.07 0.04 -0.16 0.00 1440
## paternal_loss1015 0.00 0.04 -0.08 0.08 1345
## paternal_loss1520 -0.08 0.04 -0.16 -0.01 1346
## paternal_loss2025 -0.12 0.04 -0.20 -0.05 1304
## paternal_loss2530 0.00 0.03 -0.07 0.07 1204
## paternal_loss3035 -0.03 0.03 -0.09 0.03 1099
## paternal_loss3540 0.00 0.03 -0.06 0.06 1417
## paternal_loss4045 0.00 0.04 -0.07 0.08 1788
## maternal_loss01 0.11 0.08 -0.05 0.26 3000
## maternal_loss15 -0.02 0.05 -0.12 0.07 3000
## maternal_loss510 0.08 0.04 -0.01 0.16 1475
## maternal_loss1015 0.03 0.04 -0.05 0.11 3000
## maternal_loss1520 0.00 0.04 -0.08 0.08 3000
## maternal_loss2025 0.01 0.04 -0.06 0.09 1541
## maternal_loss2530 -0.01 0.03 -0.08 0.05 1760
## maternal_loss3035 -0.04 0.03 -0.11 0.02 1605
## maternal_loss3540 -0.03 0.03 -0.09 0.03 1273
## maternal_loss4045 -0.02 0.03 -0.08 0.04 3000
## older_siblings1 0.02 0.03 -0.03 0.07 1062
## older_siblings2 -0.05 0.04 -0.12 0.02 749
## older_siblings3 -0.08 0.05 -0.17 0.01 678
## older_siblings4 -0.11 0.06 -0.22 0.01 629
## older_siblings5P -0.10 0.08 -0.26 0.04 613
## nr.siblings 0.01 0.01 0.00 0.03 732
## last_born1 -0.04 0.02 -0.08 0.01 3000
## hu_Intercept -0.61 0.26 -1.13 -0.10 1033
## hu_paternalage 0.08 0.18 -0.27 0.41 733
## hu_age50101 -1.16 0.12 -1.39 -0.93 2663
## hu_age025 5.21 0.22 4.78 5.67 3000
## hu_ageunknown 0.00 0.09 -0.19 0.19 2162
## hu_birth_cohort1760M1765 -0.12 0.21 -0.54 0.27 1275
## hu_birth_cohort1765M1770 -0.35 0.19 -0.71 0.02 896
## hu_birth_cohort1770M1775 0.03 0.18 -0.31 0.37 906
## hu_birth_cohort1775M1780 -0.42 0.19 -0.80 -0.05 886
## hu_birth_cohort1780M1785 -0.52 0.19 -0.90 -0.14 1023
## hu_birth_cohort1785M1790 -0.47 0.18 -0.83 -0.12 773
## hu_birth_cohort1790M1795 -0.36 0.18 -0.71 -0.02 812
## hu_birth_cohort1795M1800 -0.52 0.16 -0.83 -0.21 706
## hu_birth_cohort1800M1805 -0.57 0.16 -0.88 -0.26 663
## hu_birth_cohort1805M1810 -0.49 0.16 -0.82 -0.18 676
## hu_birth_cohort1810M1815 -0.51 0.15 -0.82 -0.21 651
## hu_birth_cohort1815M1820 -0.70 0.15 -1.00 -0.42 595
## hu_birth_cohort1820M1825 -0.65 0.15 -0.95 -0.37 605
## hu_birth_cohort1825M1830 -0.66 0.15 -0.95 -0.37 610
## hu_birth_cohort1830M1835 -0.59 0.15 -0.90 -0.30 625
## hu_male1 0.06 0.06 -0.07 0.17 3000
## hu_maternalage.factor1420 -0.04 0.29 -0.61 0.53 3000
## hu_maternalage.factor3550 0.10 0.09 -0.08 0.28 3000
## hu_paternalage.mean 0.05 0.18 -0.29 0.43 713
## hu_paternal_loss01 0.38 0.22 -0.06 0.82 3000
## hu_paternal_loss15 0.35 0.16 0.04 0.67 1475
## hu_paternal_loss510 0.13 0.14 -0.13 0.40 1177
## hu_paternal_loss1015 0.05 0.14 -0.21 0.31 1229
## hu_paternal_loss1520 -0.14 0.13 -0.40 0.11 1221
## hu_paternal_loss2025 0.06 0.12 -0.18 0.31 1145
## hu_paternal_loss2530 -0.01 0.12 -0.25 0.22 986
## hu_paternal_loss3035 -0.10 0.12 -0.33 0.13 1093
## hu_paternal_loss3540 -0.07 0.11 -0.28 0.15 1227
## hu_paternal_loss4045 0.04 0.12 -0.21 0.28 1533
## hu_maternal_loss01 1.19 0.22 0.77 1.61 3000
## hu_maternal_loss15 0.46 0.15 0.17 0.75 3000
## hu_maternal_loss510 0.44 0.13 0.18 0.70 3000
## hu_maternal_loss1015 0.46 0.14 0.20 0.72 1328
## hu_maternal_loss1520 0.24 0.14 -0.04 0.51 3000
## hu_maternal_loss2025 0.07 0.13 -0.19 0.33 3000
## hu_maternal_loss2530 0.17 0.11 -0.04 0.39 1714
## hu_maternal_loss3035 0.18 0.11 -0.03 0.40 1485
## hu_maternal_loss3540 0.03 0.10 -0.17 0.23 1800
## hu_maternal_loss4045 0.22 0.11 0.02 0.44 3000
## hu_older_siblings1 0.05 0.09 -0.13 0.23 3000
## hu_older_siblings2 -0.07 0.12 -0.31 0.17 886
## hu_older_siblings3 0.02 0.16 -0.27 0.33 624
## hu_older_siblings4 0.07 0.19 -0.29 0.46 740
## hu_older_siblings5P -0.03 0.26 -0.52 0.48 691
## hu_nr.siblings 0.04 0.02 -0.01 0.08 806
## hu_last_born1 0.04 0.08 -0.11 0.20 3000
## Rhat
## Intercept 1.00
## paternalage 1.01
## age50101 1.00
## age025 1.00
## ageunknown 1.00
## birth_cohort1760M1765 1.00
## birth_cohort1765M1770 1.00
## birth_cohort1770M1775 1.00
## birth_cohort1775M1780 1.00
## birth_cohort1780M1785 1.00
## birth_cohort1785M1790 1.01
## birth_cohort1790M1795 1.00
## birth_cohort1795M1800 1.00
## birth_cohort1800M1805 1.01
## birth_cohort1805M1810 1.00
## birth_cohort1810M1815 1.00
## birth_cohort1815M1820 1.01
## birth_cohort1820M1825 1.01
## birth_cohort1825M1830 1.01
## birth_cohort1830M1835 1.00
## male1 1.00
## maternalage.factor1420 1.00
## maternalage.factor3550 1.00
## paternalage.mean 1.01
## 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 1.00
## paternal_loss3035 1.00
## paternal_loss3540 1.00
## 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 1.01
## older_siblings3 1.01
## older_siblings4 1.01
## older_siblings5P 1.01
## nr.siblings 1.00
## last_born1 1.00
## hu_Intercept 1.00
## hu_paternalage 1.01
## hu_age50101 1.00
## hu_age025 1.00
## hu_ageunknown 1.00
## hu_birth_cohort1760M1765 1.00
## hu_birth_cohort1765M1770 1.00
## hu_birth_cohort1770M1775 1.00
## hu_birth_cohort1775M1780 1.00
## hu_birth_cohort1780M1785 1.00
## hu_birth_cohort1785M1790 1.00
## hu_birth_cohort1790M1795 1.00
## hu_birth_cohort1795M1800 1.00
## hu_birth_cohort1800M1805 1.00
## hu_birth_cohort1805M1810 1.00
## hu_birth_cohort1810M1815 1.00
## hu_birth_cohort1815M1820 1.00
## hu_birth_cohort1820M1825 1.00
## hu_birth_cohort1825M1830 1.01
## hu_birth_cohort1830M1835 1.00
## hu_male1 1.00
## hu_maternalage.factor1420 1.00
## hu_maternalage.factor3550 1.00
## hu_paternalage.mean 1.01
## hu_paternal_loss01 1.00
## hu_paternal_loss15 1.00
## hu_paternal_loss510 1.01
## 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 1.01
## hu_older_siblings3 1.01
## hu_older_siblings4 1.01
## hu_older_siblings5P 1.01
## hu_nr.siblings 1.01
## 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">4.567</td>
<td align="center">3.902</td>
<td align="center">5.391</td>
</tr>
<tr class="even">
<td align="center"><strong>paternalage</strong></td>
<td align="center">1.076</td>
<td align="center">0.9687</td>
<td align="center">1.192</td>
</tr>
<tr class="odd">
<td align="center"><strong>age50101</strong></td>
<td align="center">1.28</td>
<td align="center">1.196</td>
<td align="center">1.372</td>
</tr>
<tr class="even">
<td align="center"><strong>age025</strong></td>
<td align="center">0.1757</td>
<td align="center">0.08791</td>
<td align="center">0.3092</td>
</tr>
<tr class="odd">
<td align="center"><strong>ageunknown</strong></td>
<td align="center">1.066</td>
<td align="center">0.9963</td>
<td align="center">1.143</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1760M1765</strong></td>
<td align="center">1.014</td>
<td align="center">0.8913</td>
<td align="center">1.143</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1765M1770</strong></td>
<td align="center">0.8693</td>
<td align="center">0.7787</td>
<td align="center">0.9735</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1770M1775</strong></td>
<td align="center">0.8738</td>
<td align="center">0.7761</td>
<td align="center">0.9774</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1775M1780</strong></td>
<td align="center">0.9707</td>
<td align="center">0.8724</td>
<td align="center">1.08</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1780M1785</strong></td>
<td align="center">0.8787</td>
<td align="center">0.7853</td>
<td align="center">0.9847</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1785M1790</strong></td>
<td align="center">0.9052</td>
<td align="center">0.8177</td>
<td align="center">1.005</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1790M1795</strong></td>
<td align="center">0.9195</td>
<td align="center">0.8281</td>
<td align="center">1.016</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1795M1800</strong></td>
<td align="center">0.8982</td>
<td align="center">0.8161</td>
<td align="center">0.9885</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1800M1805</strong></td>
<td align="center">0.8948</td>
<td align="center">0.8155</td>
<td align="center">0.9825</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1805M1810</strong></td>
<td align="center">0.89</td>
<td align="center">0.806</td>
<td align="center">0.9794</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1810M1815</strong></td>
<td align="center">0.9331</td>
<td align="center">0.8508</td>
<td align="center">1.026</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1815M1820</strong></td>
<td align="center">0.8871</td>
<td align="center">0.8113</td>
<td align="center">0.9686</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1820M1825</strong></td>
<td align="center">0.8533</td>
<td align="center">0.7826</td>
<td align="center">0.9338</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1825M1830</strong></td>
<td align="center">0.8349</td>
<td align="center">0.7624</td>
<td align="center">0.9161</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1830M1835</strong></td>
<td align="center">0.8646</td>
<td align="center">0.7872</td>
<td align="center">0.95</td>
</tr>
<tr class="odd">
<td align="center"><strong>male1</strong></td>
<td align="center">1.147</td>
<td align="center">1.097</td>
<td align="center">1.2</td>
</tr>
<tr class="even">
<td align="center"><strong>maternalage.factor1420</strong></td>
<td align="center">0.9745</td>
<td align="center">0.8145</td>
<td align="center">1.162</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternalage.factor3550</strong></td>
<td align="center">0.9948</td>
<td align="center">0.942</td>
<td align="center">1.048</td>
</tr>
<tr class="even">
<td align="center"><strong>paternalage.mean</strong></td>
<td align="center">0.9249</td>
<td align="center">0.8312</td>
<td align="center">1.027</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss01</strong></td>
<td align="center">0.8571</td>
<td align="center">0.7386</td>
<td align="center">0.9915</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss15</strong></td>
<td align="center">0.9688</td>
<td align="center">0.876</td>
<td align="center">1.068</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss510</strong></td>
<td align="center">0.9293</td>
<td align="center">0.8548</td>
<td align="center">1.004</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss1015</strong></td>
<td align="center">1.002</td>
<td align="center">0.9251</td>
<td align="center">1.083</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss1520</strong></td>
<td align="center">0.9217</td>
<td align="center">0.8536</td>
<td align="center">0.9919</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss2025</strong></td>
<td align="center">0.8872</td>
<td align="center">0.8212</td>
<td align="center">0.9541</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss2530</strong></td>
<td align="center">0.9989</td>
<td align="center">0.9337</td>
<td align="center">1.068</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss3035</strong></td>
<td align="center">0.9728</td>
<td align="center">0.9121</td>
<td align="center">1.036</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss3540</strong></td>
<td align="center">1.002</td>
<td align="center">0.9412</td>
<td align="center">1.067</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss4045</strong></td>
<td align="center">1.004</td>
<td align="center">0.937</td>
<td align="center">1.079</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss01</strong></td>
<td align="center">1.115</td>
<td align="center">0.9549</td>
<td align="center">1.296</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss15</strong></td>
<td align="center">0.9759</td>
<td align="center">0.8885</td>
<td align="center">1.069</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss510</strong></td>
<td align="center">1.08</td>
<td align="center">0.9943</td>
<td align="center">1.171</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss1015</strong></td>
<td align="center">1.033</td>
<td align="center">0.954</td>
<td align="center">1.116</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss1520</strong></td>
<td align="center">1.002</td>
<td align="center">0.9269</td>
<td align="center">1.082</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss2025</strong></td>
<td align="center">1.014</td>
<td align="center">0.9411</td>
<td align="center">1.089</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss2530</strong></td>
<td align="center">0.9872</td>
<td align="center">0.9229</td>
<td align="center">1.056</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss3035</strong></td>
<td align="center">0.9565</td>
<td align="center">0.8966</td>
<td align="center">1.019</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss3540</strong></td>
<td align="center">0.9705</td>
<td align="center">0.917</td>
<td align="center">1.026</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss4045</strong></td>
<td align="center">0.9789</td>
<td align="center">0.9219</td>
<td align="center">1.041</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings1</strong></td>
<td align="center">1.02</td>
<td align="center">0.9674</td>
<td align="center">1.074</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings2</strong></td>
<td align="center">0.9526</td>
<td align="center">0.8888</td>
<td align="center">1.024</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings3</strong></td>
<td align="center">0.9223</td>
<td align="center">0.8413</td>
<td align="center">1.007</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings4</strong></td>
<td align="center">0.899</td>
<td align="center">0.8019</td>
<td align="center">1.013</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings5P</strong></td>
<td align="center">0.901</td>
<td align="center">0.7725</td>
<td align="center">1.044</td>
</tr>
<tr class="even">
<td align="center"><strong>nr.siblings</strong></td>
<td align="center">1.011</td>
<td align="center">0.997</td>
<td align="center">1.025</td>
</tr>
<tr class="odd">
<td align="center"><strong>last_born1</strong></td>
<td align="center">0.9622</td>
<td align="center">0.9191</td>
<td align="center">1.007</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_Intercept</strong></td>
<td align="center">0.5407</td>
<td align="center">0.3238</td>
<td align="center">0.906</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternalage</strong></td>
<td align="center">1.086</td>
<td align="center">0.7634</td>
<td align="center">1.509</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_age50101</strong></td>
<td align="center">0.3147</td>
<td align="center">0.2498</td>
<td align="center">0.3965</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_age025</strong></td>
<td align="center">182.3</td>
<td align="center">119.6</td>
<td align="center">289.2</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_ageunknown</strong></td>
<td align="center">1.001</td>
<td align="center">0.831</td>
<td align="center">1.21</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1760M1765</strong></td>
<td align="center">0.886</td>
<td align="center">0.5845</td>
<td align="center">1.305</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1765M1770</strong></td>
<td align="center">0.7064</td>
<td align="center">0.4918</td>
<td align="center">1.023</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1770M1775</strong></td>
<td align="center">1.032</td>
<td align="center">0.7337</td>
<td align="center">1.451</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1775M1780</strong></td>
<td align="center">0.6552</td>
<td align="center">0.4509</td>
<td align="center">0.9471</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1780M1785</strong></td>
<td align="center">0.5933</td>
<td align="center">0.4069</td>
<td align="center">0.8693</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1785M1790</strong></td>
<td align="center">0.6229</td>
<td align="center">0.434</td>
<td align="center">0.8901</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1790M1795</strong></td>
<td align="center">0.6947</td>
<td align="center">0.4927</td>
<td align="center">0.9777</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1795M1800</strong></td>
<td align="center">0.5969</td>
<td align="center">0.4364</td>
<td align="center">0.8113</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1800M1805</strong></td>
<td align="center">0.5634</td>
<td align="center">0.413</td>
<td align="center">0.7725</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1805M1810</strong></td>
<td align="center">0.6112</td>
<td align="center">0.4389</td>
<td align="center">0.839</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1810M1815</strong></td>
<td align="center">0.6001</td>
<td align="center">0.4415</td>
<td align="center">0.8112</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1815M1820</strong></td>
<td align="center">0.4979</td>
<td align="center">0.3668</td>
<td align="center">0.6595</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1820M1825</strong></td>
<td align="center">0.5242</td>
<td align="center">0.3882</td>
<td align="center">0.6936</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1825M1830</strong></td>
<td align="center">0.5186</td>
<td align="center">0.3858</td>
<td align="center">0.6917</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1830M1835</strong></td>
<td align="center">0.553</td>
<td align="center">0.4068</td>
<td align="center">0.7375</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_male1</strong></td>
<td align="center">1.057</td>
<td align="center">0.9354</td>
<td align="center">1.189</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternalage.factor1420</strong></td>
<td align="center">0.9633</td>
<td align="center">0.5444</td>
<td align="center">1.702</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternalage.factor3550</strong></td>
<td align="center">1.102</td>
<td align="center">0.9259</td>
<td align="center">1.32</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternalage.mean</strong></td>
<td align="center">1.056</td>
<td align="center">0.7511</td>
<td align="center">1.534</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss01</strong></td>
<td align="center">1.469</td>
<td align="center">0.9451</td>
<td align="center">2.273</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss15</strong></td>
<td align="center">1.425</td>
<td align="center">1.037</td>
<td align="center">1.963</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss510</strong></td>
<td align="center">1.143</td>
<td align="center">0.8744</td>
<td align="center">1.495</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss1015</strong></td>
<td align="center">1.056</td>
<td align="center">0.8074</td>
<td align="center">1.359</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss1520</strong></td>
<td align="center">0.8681</td>
<td align="center">0.6716</td>
<td align="center">1.12</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss2025</strong></td>
<td align="center">1.067</td>
<td align="center">0.8315</td>
<td align="center">1.359</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss2530</strong></td>
<td align="center">0.9869</td>
<td align="center">0.7795</td>
<td align="center">1.247</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss3035</strong></td>
<td align="center">0.9041</td>
<td align="center">0.7183</td>
<td align="center">1.134</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss3540</strong></td>
<td align="center">0.9367</td>
<td align="center">0.7536</td>
<td align="center">1.166</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss4045</strong></td>
<td align="center">1.039</td>
<td align="center">0.8141</td>
<td align="center">1.32</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss01</strong></td>
<td align="center">3.289</td>
<td align="center">2.156</td>
<td align="center">5.025</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss15</strong></td>
<td align="center">1.576</td>
<td align="center">1.181</td>
<td align="center">2.125</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss510</strong></td>
<td align="center">1.548</td>
<td align="center">1.201</td>
<td align="center">2.009</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss1015</strong></td>
<td align="center">1.579</td>
<td align="center">1.217</td>
<td align="center">2.058</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss1520</strong></td>
<td align="center">1.271</td>
<td align="center">0.965</td>
<td align="center">1.67</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss2025</strong></td>
<td align="center">1.075</td>
<td align="center">0.8301</td>
<td align="center">1.397</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss2530</strong></td>
<td align="center">1.189</td>
<td align="center">0.9585</td>
<td align="center">1.471</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss3035</strong></td>
<td align="center">1.194</td>
<td align="center">0.9667</td>
<td align="center">1.494</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss3540</strong></td>
<td align="center">1.034</td>
<td align="center">0.8432</td>
<td align="center">1.261</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss4045</strong></td>
<td align="center">1.247</td>
<td align="center">1.021</td>
<td align="center">1.547</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_older_siblings1</strong></td>
<td align="center">1.052</td>
<td align="center">0.8769</td>
<td align="center">1.265</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_older_siblings2</strong></td>
<td align="center">0.935</td>
<td align="center">0.7341</td>
<td align="center">1.18</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_older_siblings3</strong></td>
<td align="center">1.019</td>
<td align="center">0.7647</td>
<td align="center">1.389</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_older_siblings4</strong></td>
<td align="center">1.068</td>
<td align="center">0.747</td>
<td align="center">1.584</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_older_siblings5P</strong></td>
<td align="center">0.9715</td>
<td align="center">0.5955</td>
<td align="center">1.619</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_nr.siblings</strong></td>
<td align="center">1.038</td>
<td align="center">0.9918</td>
<td align="center">1.086</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_last_born1</strong></td>
<td align="center">1.046</td>
<td align="center">0.897</td>
<td align="center">1.224</td>
</tr>