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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 Robustness</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="krummhorn-1720-1850-robustness-analyses" class="section level1 tab-content">
<h1>Krummhörn (1720-1850) robustness 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$<span class="kw">set</span>(<span class="dt">warning=</span><span class="ot">TRUE</span>, <span class="dt">cache=</span>F,<span class="dt">cache.lazy=</span>F,<span class="dt">tidy=</span><span class="ot">FALSE</span>,<span class="dt">autodep=</span><span class="ot">TRUE</span>,<span class="dt">dev=</span><span class="kw">c</span>(<span class="st">'png'</span>,<span class="st">'pdf'</span>),<span class="dt">fig.width=</span><span class="dv">20</span>,<span class="dt">fig.height=</span><span class="fl">12.5</span>,<span class="dt">out.width=</span><span class="st">'1440px'</span>,<span class="dt">out.height=</span><span class="st">'900px'</span>,<span class="dt">cache.extra=</span><span class="kw">file.info</span>(<span class="st">'swed1.rdata'</span>)[, <span class="st">'mtime'</span>])
make_path =<span class="st"> </span>function(file) {
<span class="kw">get_coefficient_path</span>(file, <span class="st">"krmh"</span>)
}
<span class="co"># options for each chunk calling knit_child</span>
opts_chunk$<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>)</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="r1_relaxed_exclusion_criteria" class="section level2 tab-content">
<h2><em>r1</em>: Relaxed exclusion criteria</h2>
<p>For the four historical populations, we imposed quite stringent exclusion criteria to ensure sufficient data quality for our intended analysis. This was not necessary for the modern Swedish data, because there were no exclusion criteria to relax.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">model_filename =<span class="st"> </span><span class="kw">make_path</span>(<span class="st">"r1_relaxed_exclusion_criteria"</span>)
if (<span class="kw">file.exists</span>(model_filename)) {
<span class="kw">cat</span>(<span class="kw">summarise_model</span>())
r1 =<span class="st"> </span>model
}</code></pre></div>
<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 + birth_cohort + male + maternalage.factor + paternalage.mean + paternal_loss + maternal_loss + older_siblings + nr.siblings + last_born + (1 | idParents)
## hu ~ paternalage + 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: 11848)
## Samples: 6 chains, each with iter = 800; warmup = 300; 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: 2897)
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample Rhat
## sd(Intercept) 0.23 0.01 0.21 0.25 927 1.01
## sd(hu_Intercept) 0.54 0.04 0.47 0.62 874 1.00
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample
## Intercept 1.87 0.28 1.30 2.38 132
## paternalage 0.04 0.05 -0.05 0.14 757
## birth_cohort1670M1700 -0.02 0.31 -0.59 0.62 152
## birth_cohort1700M1720 -0.09 0.29 -0.62 0.52 143
## birth_cohort1720M1760 -0.20 0.28 -0.70 0.37 129
## birth_cohort1760M1765 -0.15 0.28 -0.67 0.42 132
## birth_cohort1765M1770 -0.30 0.28 -0.80 0.28 134
## birth_cohort1770M1775 -0.30 0.28 -0.80 0.27 131
## birth_cohort1775M1780 -0.22 0.28 -0.72 0.36 131
## birth_cohort1780M1785 -0.30 0.28 -0.81 0.26 131
## birth_cohort1785M1790 -0.26 0.28 -0.77 0.32 131
## birth_cohort1790M1795 -0.24 0.28 -0.73 0.34 130
## birth_cohort1795M1800 -0.29 0.28 -0.79 0.28 131
## birth_cohort1800M1805 -0.29 0.28 -0.80 0.28 130
## birth_cohort1805M1810 -0.30 0.28 -0.80 0.27 130
## birth_cohort1810M1815 -0.27 0.28 -0.77 0.30 130
## birth_cohort1815M1820 -0.34 0.28 -0.84 0.24 129
## birth_cohort1820M1825 -0.39 0.28 -0.89 0.18 130
## birth_cohort1825M1830 -0.39 0.28 -0.88 0.19 129
## birth_cohort1830M1835 -0.38 0.28 -0.88 0.19 129
## male1 0.09 0.01 0.06 0.12 3000
## maternalage.factor1420 -0.08 0.08 -0.23 0.07 3000
## maternalage.factor3550 0.01 0.03 -0.04 0.06 3000
## paternalage.mean -0.05 0.05 -0.16 0.04 770
## paternal_loss01 -0.20 0.07 -0.34 -0.06 3000
## paternal_loss15 -0.06 0.05 -0.15 0.04 3000
## paternal_loss510 -0.07 0.04 -0.15 0.01 1793
## paternal_loss1015 0.02 0.04 -0.06 0.09 1724
## paternal_loss1520 -0.08 0.04 -0.15 -0.01 1970
## paternal_loss2025 -0.11 0.03 -0.18 -0.04 2032
## paternal_loss2530 -0.02 0.03 -0.08 0.04 1577
## paternal_loss3035 -0.03 0.03 -0.09 0.03 1593
## paternal_loss3540 -0.01 0.03 -0.07 0.05 1930
## paternal_loss4045 -0.01 0.03 -0.08 0.05 3000
## paternal_lossunclear -0.05 0.04 -0.13 0.04 1813
## maternal_loss01 0.09 0.07 -0.06 0.23 3000
## maternal_loss15 -0.01 0.04 -0.10 0.08 3000
## maternal_loss510 0.06 0.04 -0.02 0.14 1944
## maternal_loss1015 0.03 0.04 -0.05 0.10 3000
## maternal_loss1520 -0.01 0.04 -0.09 0.06 3000
## maternal_loss2025 -0.01 0.04 -0.08 0.07 3000
## maternal_loss2530 -0.04 0.03 -0.11 0.02 3000
## maternal_loss3035 -0.04 0.03 -0.10 0.02 1225
## maternal_loss3540 -0.04 0.03 -0.10 0.01 3000
## maternal_loss4045 -0.01 0.03 -0.07 0.05 3000
## maternal_lossunclear -0.10 0.04 -0.19 -0.02 3000
## older_siblings1 0.03 0.02 -0.02 0.08 1473
## older_siblings2 -0.03 0.03 -0.09 0.04 920
## older_siblings3 -0.06 0.04 -0.14 0.03 791
## older_siblings4 -0.05 0.06 -0.16 0.06 797
## older_siblings5P -0.05 0.07 -0.20 0.08 833
## nr.siblings 0.00 0.01 -0.01 0.02 892
## last_born1 -0.03 0.02 -0.07 0.01 3000
## hu_Intercept -1.22 0.82 -2.82 0.44 129
## hu_paternalage 0.31 0.13 0.05 0.56 983
## hu_birth_cohort1670M1700 1.05 0.90 -0.76 2.89 144
## hu_birth_cohort1700M1720 0.17 0.85 -1.58 1.83 132
## hu_birth_cohort1720M1760 0.83 0.81 -0.80 2.41 123
## hu_birth_cohort1760M1765 0.80 0.82 -0.85 2.41 124
## hu_birth_cohort1765M1770 0.63 0.81 -1.01 2.21 123
## hu_birth_cohort1770M1775 0.77 0.81 -0.87 2.35 124
## hu_birth_cohort1775M1780 0.70 0.81 -0.95 2.29 127
## hu_birth_cohort1780M1785 0.58 0.81 -1.07 2.19 123
## hu_birth_cohort1785M1790 0.45 0.81 -1.18 2.04 123
## hu_birth_cohort1790M1795 0.56 0.81 -1.10 2.17 123
## hu_birth_cohort1795M1800 0.35 0.81 -1.28 1.94 123
## hu_birth_cohort1800M1805 0.26 0.81 -1.42 1.84 124
## hu_birth_cohort1805M1810 0.52 0.81 -1.13 2.10 124
## hu_birth_cohort1810M1815 0.36 0.81 -1.28 1.93 123
## hu_birth_cohort1815M1820 0.11 0.81 -1.55 1.69 124
## hu_birth_cohort1820M1825 0.28 0.81 -1.37 1.87 124
## hu_birth_cohort1825M1830 0.23 0.81 -1.42 1.81 123
## hu_birth_cohort1830M1835 0.23 0.81 -1.43 1.81 123
## hu_male1 0.26 0.04 0.18 0.35 3000
## hu_maternalage.factor1420 0.16 0.20 -0.22 0.56 3000
## hu_maternalage.factor3550 0.10 0.07 -0.03 0.23 3000
## hu_paternalage.mean -0.20 0.13 -0.46 0.06 1049
## hu_paternal_loss01 0.67 0.17 0.33 1.01 3000
## hu_paternal_loss15 0.58 0.12 0.34 0.82 1999
## hu_paternal_loss510 0.25 0.11 0.03 0.46 1983
## hu_paternal_loss1015 0.20 0.10 0.01 0.40 1689
## hu_paternal_loss1520 0.17 0.10 -0.03 0.37 1847
## hu_paternal_loss2025 0.16 0.09 -0.03 0.34 1641
## hu_paternal_loss2530 0.09 0.09 -0.08 0.26 1580
## hu_paternal_loss3035 0.02 0.09 -0.15 0.19 1681
## hu_paternal_loss3540 0.03 0.09 -0.14 0.20 1740
## hu_paternal_loss4045 0.10 0.09 -0.09 0.28 3000
## hu_paternal_lossunclear 0.55 0.11 0.34 0.76 1847
## hu_maternal_loss01 1.60 0.18 1.26 1.94 3000
## hu_maternal_loss15 0.60 0.11 0.38 0.82 3000
## hu_maternal_loss510 0.53 0.10 0.33 0.73 3000
## hu_maternal_loss1015 0.41 0.10 0.20 0.62 3000
## hu_maternal_loss1520 0.33 0.10 0.13 0.54 3000
## hu_maternal_loss2025 0.27 0.10 0.08 0.46 3000
## hu_maternal_loss2530 0.14 0.09 -0.03 0.32 3000
## hu_maternal_loss3035 0.17 0.08 0.02 0.33 3000
## hu_maternal_loss3540 0.09 0.08 -0.06 0.25 3000
## hu_maternal_loss4045 0.28 0.08 0.12 0.43 3000
## hu_maternal_lossunclear 0.86 0.10 0.67 1.06 3000
## hu_older_siblings1 -0.02 0.06 -0.14 0.11 1758
## hu_older_siblings2 -0.16 0.09 -0.33 0.01 1140
## hu_older_siblings3 -0.20 0.11 -0.42 0.03 946
## hu_older_siblings4 -0.23 0.14 -0.51 0.05 954
## hu_older_siblings5P -0.53 0.19 -0.90 -0.17 975
## hu_nr.siblings 0.09 0.02 0.06 0.13 1241
## hu_last_born1 0.05 0.06 -0.06 0.16 3000
## Rhat
## Intercept 1.03
## paternalage 1.00
## birth_cohort1670M1700 1.02
## birth_cohort1700M1720 1.02
## birth_cohort1720M1760 1.03
## birth_cohort1760M1765 1.03
## birth_cohort1765M1770 1.03
## birth_cohort1770M1775 1.03
## 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
## male1 1.00
## maternalage.factor1420 1.00
## maternalage.factor3550 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 1.00
## paternal_loss3035 1.00
## paternal_loss3540 1.00
## paternal_loss4045 1.00
## paternal_lossunclear 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
## maternal_lossunclear 1.00
## older_siblings1 1.00
## older_siblings2 1.00
## older_siblings3 1.00
## older_siblings4 1.00
## older_siblings5P 1.00
## nr.siblings 1.00
## last_born1 1.00
## hu_Intercept 1.03
## hu_paternalage 1.00
## hu_birth_cohort1670M1700 1.03
## hu_birth_cohort1700M1720 1.03
## hu_birth_cohort1720M1760 1.03
## hu_birth_cohort1760M1765 1.03
## hu_birth_cohort1765M1770 1.03
## hu_birth_cohort1770M1775 1.03
## hu_birth_cohort1775M1780 1.03
## hu_birth_cohort1780M1785 1.03
## hu_birth_cohort1785M1790 1.03
## hu_birth_cohort1790M1795 1.03
## hu_birth_cohort1795M1800 1.03
## hu_birth_cohort1800M1805 1.03
## hu_birth_cohort1805M1810 1.03
## hu_birth_cohort1810M1815 1.03
## hu_birth_cohort1815M1820 1.03
## hu_birth_cohort1820M1825 1.03
## hu_birth_cohort1825M1830 1.03
## hu_birth_cohort1830M1835 1.03
## hu_male1 1.00
## hu_maternalage.factor1420 1.00
## hu_maternalage.factor3550 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_paternal_lossunclear 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_maternal_lossunclear 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">6.462</td>
<td align="center">3.656</td>
<td align="center">10.8</td>
</tr>
<tr class="even">
<td align="center"><strong>paternalage</strong></td>
<td align="center">1.041</td>
<td align="center">0.9472</td>
<td align="center">1.15</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1670M1700</strong></td>
<td align="center">0.9843</td>
<td align="center">0.5557</td>
<td align="center">1.866</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1700M1720</strong></td>
<td align="center">0.918</td>
<td align="center">0.5364</td>
<td align="center">1.677</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1720M1760</strong></td>
<td align="center">0.8172</td>
<td align="center">0.4943</td>
<td align="center">1.452</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1760M1765</strong></td>
<td align="center">0.8579</td>
<td align="center">0.5098</td>
<td align="center">1.523</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1765M1770</strong></td>
<td align="center">0.7434</td>
<td align="center">0.448</td>
<td align="center">1.324</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1770M1775</strong></td>
<td align="center">0.7402</td>
<td align="center">0.4477</td>
<td align="center">1.312</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1775M1780</strong></td>
<td align="center">0.8028</td>
<td align="center">0.4858</td>
<td align="center">1.43</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1780M1785</strong></td>
<td align="center">0.7383</td>
<td align="center">0.446</td>
<td align="center">1.301</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1785M1790</strong></td>
<td align="center">0.7701</td>
<td align="center">0.463</td>
<td align="center">1.373</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1790M1795</strong></td>
<td align="center">0.7895</td>
<td align="center">0.4806</td>
<td align="center">1.401</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1795M1800</strong></td>
<td align="center">0.7483</td>
<td align="center">0.4517</td>
<td align="center">1.325</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1800M1805</strong></td>
<td align="center">0.7463</td>
<td align="center">0.4513</td>
<td align="center">1.326</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1805M1810</strong></td>
<td align="center">0.7419</td>
<td align="center">0.4506</td>
<td align="center">1.314</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1810M1815</strong></td>
<td align="center">0.7627</td>
<td align="center">0.4622</td>
<td align="center">1.35</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1815M1820</strong></td>
<td align="center">0.709</td>
<td align="center">0.4306</td>
<td align="center">1.276</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1820M1825</strong></td>
<td align="center">0.6803</td>
<td align="center">0.4118</td>
<td align="center">1.198</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1825M1830</strong></td>
<td align="center">0.6802</td>
<td align="center">0.4138</td>
<td align="center">1.207</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1830M1835</strong></td>
<td align="center">0.6832</td>
<td align="center">0.4161</td>
<td align="center">1.207</td>
</tr>
<tr class="odd">
<td align="center"><strong>male1</strong></td>
<td align="center">1.09</td>
<td align="center">1.058</td>
<td align="center">1.122</td>
</tr>
<tr class="even">
<td align="center"><strong>maternalage.factor1420</strong></td>
<td align="center">0.9207</td>
<td align="center">0.7912</td>
<td align="center">1.073</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternalage.factor3550</strong></td>
<td align="center">1.009</td>
<td align="center">0.9601</td>
<td align="center">1.061</td>
</tr>
<tr class="even">
<td align="center"><strong>paternalage.mean</strong></td>
<td align="center">0.9485</td>
<td align="center">0.8559</td>
<td align="center">1.045</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss01</strong></td>
<td align="center">0.8212</td>
<td align="center">0.7138</td>
<td align="center">0.9382</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss15</strong></td>
<td align="center">0.946</td>
<td align="center">0.8604</td>
<td align="center">1.038</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss510</strong></td>
<td align="center">0.9311</td>
<td align="center">0.8609</td>
<td align="center">1.009</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss1015</strong></td>
<td align="center">1.016</td>
<td align="center">0.9422</td>
<td align="center">1.095</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss1520</strong></td>
<td align="center">0.9229</td>
<td align="center">0.8588</td>
<td align="center">0.9902</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss2025</strong></td>
<td align="center">0.8948</td>
<td align="center">0.8365</td>
<td align="center">0.9583</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss2530</strong></td>
<td align="center">0.9797</td>
<td align="center">0.9206</td>
<td align="center">1.04</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss3035</strong></td>
<td align="center">0.9689</td>
<td align="center">0.9137</td>
<td align="center">1.028</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss3540</strong></td>
<td align="center">0.9901</td>
<td align="center">0.9326</td>
<td align="center">1.052</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss4045</strong></td>
<td align="center">0.9861</td>
<td align="center">0.9224</td>
<td align="center">1.054</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_lossunclear</strong></td>
<td align="center">0.9542</td>
<td align="center">0.8802</td>
<td align="center">1.036</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss01</strong></td>
<td align="center">1.098</td>
<td align="center">0.9458</td>
<td align="center">1.265</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss15</strong></td>
<td align="center">0.9873</td>
<td align="center">0.9024</td>
<td align="center">1.079</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss510</strong></td>
<td align="center">1.058</td>
<td align="center">0.977</td>
<td align="center">1.145</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss1015</strong></td>
<td align="center">1.029</td>
<td align="center">0.9531</td>
<td align="center">1.11</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss1520</strong></td>
<td align="center">0.9905</td>
<td align="center">0.9156</td>
<td align="center">1.066</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss2025</strong></td>
<td align="center">0.9941</td>
<td align="center">0.9257</td>
<td align="center">1.067</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss2530</strong></td>
<td align="center">0.9581</td>
<td align="center">0.8984</td>
<td align="center">1.024</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss3035</strong></td>
<td align="center">0.9603</td>
<td align="center">0.9041</td>
<td align="center">1.02</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss3540</strong></td>
<td align="center">0.9562</td>
<td align="center">0.9056</td>
<td align="center">1.008</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss4045</strong></td>
<td align="center">0.9898</td>
<td align="center">0.9327</td>
<td align="center">1.05</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_lossunclear</strong></td>
<td align="center">0.9023</td>
<td align="center">0.8299</td>
<td align="center">0.983</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings1</strong></td>
<td align="center">1.033</td>
<td align="center">0.9837</td>
<td align="center">1.084</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings2</strong></td>
<td align="center">0.9739</td>
<td align="center">0.9126</td>
<td align="center">1.04</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings3</strong></td>
<td align="center">0.9452</td>
<td align="center">0.8728</td>
<td align="center">1.027</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings4</strong></td>
<td align="center">0.9524</td>
<td align="center">0.855</td>
<td align="center">1.06</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings5P</strong></td>
<td align="center">0.9474</td>
<td align="center">0.8209</td>
<td align="center">1.088</td>
</tr>
<tr class="even">
<td align="center"><strong>nr.siblings</strong></td>
<td align="center">1.005</td>
<td align="center">0.9923</td>
<td align="center">1.018</td>
</tr>
<tr class="odd">
<td align="center"><strong>last_born1</strong></td>
<td align="center">0.9699</td>
<td align="center">0.9293</td>
<td align="center">1.01</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_Intercept</strong></td>
<td align="center">0.2954</td>
<td align="center">0.05966</td>
<td align="center">1.55</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternalage</strong></td>
<td align="center">1.364</td>
<td align="center">1.054</td>
<td align="center">1.754</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1670M1700</strong></td>
<td align="center">2.869</td>
<td align="center">0.4688</td>
<td align="center">18.03</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1700M1720</strong></td>
<td align="center">1.188</td>
<td align="center">0.2061</td>
<td align="center">6.237</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1720M1760</strong></td>
<td align="center">2.299</td>
<td align="center">0.4491</td>
<td align="center">11.16</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1760M1765</strong></td>
<td align="center">2.235</td>
<td align="center">0.4276</td>
<td align="center">11.11</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1765M1770</strong></td>
<td align="center">1.877</td>
<td align="center">0.3653</td>
<td align="center">9.075</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1770M1775</strong></td>
<td align="center">2.17</td>
<td align="center">0.4184</td>
<td align="center">10.53</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1775M1780</strong></td>
<td align="center">2.006</td>
<td align="center">0.3881</td>
<td align="center">9.866</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1780M1785</strong></td>
<td align="center">1.793</td>
<td align="center">0.3421</td>
<td align="center">8.924</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1785M1790</strong></td>
<td align="center">1.567</td>
<td align="center">0.3061</td>
<td align="center">7.7</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1790M1795</strong></td>
<td align="center">1.749</td>
<td align="center">0.3319</td>
<td align="center">8.801</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1795M1800</strong></td>
<td align="center">1.421</td>
<td align="center">0.2779</td>
<td align="center">6.976</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1800M1805</strong></td>
<td align="center">1.293</td>
<td align="center">0.2413</td>
<td align="center">6.319</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1805M1810</strong></td>
<td align="center">1.685</td>
<td align="center">0.322</td>
<td align="center">8.167</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1810M1815</strong></td>
<td align="center">1.427</td>
<td align="center">0.277</td>
<td align="center">6.884</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1815M1820</strong></td>
<td align="center">1.117</td>
<td align="center">0.212</td>
<td align="center">5.436</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1820M1825</strong></td>
<td align="center">1.326</td>
<td align="center">0.2551</td>
<td align="center">6.488</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1825M1830</strong></td>
<td align="center">1.255</td>
<td align="center">0.242</td>
<td align="center">6.112</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1830M1835</strong></td>
<td align="center">1.253</td>
<td align="center">0.2395</td>
<td align="center">6.086</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_male1</strong></td>
<td align="center">1.303</td>
<td align="center">1.199</td>
<td align="center">1.418</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternalage.factor1420</strong></td>
<td align="center">1.175</td>
<td align="center">0.8043</td>
<td align="center">1.753</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternalage.factor3550</strong></td>
<td align="center">1.104</td>
<td align="center">0.9676</td>
<td align="center">1.261</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternalage.mean</strong></td>
<td align="center">0.8184</td>
<td align="center">0.6344</td>
<td align="center">1.063</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss01</strong></td>
<td align="center">1.955</td>
<td align="center">1.397</td>
<td align="center">2.75</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss15</strong></td>
<td align="center">1.783</td>
<td align="center">1.399</td>
<td align="center">2.265</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss510</strong></td>
<td align="center">1.284</td>
<td align="center">1.034</td>
<td align="center">1.592</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss1015</strong></td>
<td align="center">1.225</td>
<td align="center">1.014</td>
<td align="center">1.498</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss1520</strong></td>
<td align="center">1.186</td>
<td align="center">0.9735</td>
<td align="center">1.444</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss2025</strong></td>
<td align="center">1.169</td>
<td align="center">0.9723</td>
<td align="center">1.41</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss2530</strong></td>
<td align="center">1.097</td>
<td align="center">0.9223</td>
<td align="center">1.297</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss3035</strong></td>
<td align="center">1.022</td>
<td align="center">0.8589</td>
<td align="center">1.214</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss3540</strong></td>
<td align="center">1.028</td>
<td align="center">0.8698</td>
<td align="center">1.22</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss4045</strong></td>
<td align="center">1.107</td>
<td align="center">0.917</td>
<td align="center">1.328</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_lossunclear</strong></td>
<td align="center">1.741</td>
<td align="center">1.408</td>
<td align="center">2.138</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss01</strong></td>
<td align="center">4.954</td>
<td align="center">3.534</td>
<td align="center">6.975</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss15</strong></td>
<td align="center">1.82</td>
<td align="center">1.457</td>
<td align="center">2.262</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss510</strong></td>
<td align="center">1.698</td>
<td align="center">1.39</td>
<td align="center">2.072</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss1015</strong></td>
<td align="center">1.51</td>
<td align="center">1.224</td>
<td align="center">1.856</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss1520</strong></td>
<td align="center">1.395</td>
<td align="center">1.144</td>
<td align="center">1.714</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss2025</strong></td>
<td align="center">1.31</td>
<td align="center">1.084</td>
<td align="center">1.577</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss2530</strong></td>
<td align="center">1.147</td>
<td align="center">0.9662</td>
<td align="center">1.371</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss3035</strong></td>
<td align="center">1.188</td>
<td align="center">1.016</td>
<td align="center">1.394</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss3540</strong></td>
<td align="center">1.096</td>
<td align="center">0.9445</td>
<td align="center">1.278</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss4045</strong></td>
<td align="center">1.318</td>
<td align="center">1.126</td>
<td align="center">1.542</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_lossunclear</strong></td>
<td align="center">2.368</td>
<td align="center">1.945</td>
<td align="center">2.88</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_older_siblings1</strong></td>
<td align="center">0.9846</td>
<td align="center">0.8684</td>
<td align="center">1.116</td>