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<!DOCTYPE html>
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<title>Québec Robustness</title>
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<div id="quebec-registre-de-la-population-du-quebec-ancien-1630-1750-robustness-analyses" class="section level1 tab-content">
<h1>Québec (Registre de la Population du Québec Ancien 1630-1750), 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$<span class="kw">set</span>(<span class="dt">warning=</span><span class="ot">TRUE</span>, <span class="dt">cache=</span>F,<span class="dt">cache.lazy=</span>F,<span class="dt">tidy=</span><span class="ot">FALSE</span>,<span class="dt">autodep=</span><span class="ot">TRUE</span>,<span class="dt">dev=</span><span class="kw">c</span>(<span class="st">'png'</span>,<span class="st">'pdf'</span>),<span class="dt">fig.width=</span><span class="dv">20</span>,<span class="dt">fig.height=</span><span class="fl">12.5</span>,<span class="dt">out.width=</span><span class="st">'1440px'</span>,<span class="dt">out.height=</span><span class="st">'900px'</span>,<span class="dt">cache.extra=</span><span class="kw">file.info</span>(<span class="st">'swed1.rdata'</span>)[, <span class="st">'mtime'</span>])
make_path =<span class="st"> </span>function(file) {
<span class="kw">get_coefficient_path</span>(file, <span class="st">"rpqa"</span>)
}
<span class="co"># options for each chunk calling knit_child</span>
opts_chunk$<span class="kw">set</span>(<span class="dt">warning=</span><span class="ot">FALSE</span>, <span class="dt">message =</span> <span class="ot">FALSE</span>)</code></pre></div>
</div>
<div id="analysis-description" class="section level2">
<h2>Analysis description</h2>
<div id="data-subset" class="section level3">
<h3>Data subset</h3>
<p>The <code>rpqa.1</code> dataset contains only those participants where paternal age is known and the birthdate is between 1630 and 1750.</p>
</div>
<div id="model-description" class="section level3">
<h3>Model description</h3>
<p>All of the following models are the same as our main model m3, except for the noted changes to test robustness.</p>
</div>
</div>
<div id="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: 77515)
## 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: 12619)
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample Rhat
## sd(Intercept) 0.25 0.00 0.24 0.26 1116 1
## sd(hu_Intercept) 0.66 0.01 0.63 0.68 1221 1
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Eff.Sample
## Intercept 2.15 0.08 1.99 2.32 117
## paternalage 0.00 0.01 -0.01 0.02 1623
## birth_cohort1635M1640 0.15 0.10 -0.04 0.34 218
## birth_cohort1640M1645 0.16 0.09 -0.01 0.33 141
## birth_cohort1645M1650 0.03 0.09 -0.14 0.20 146
## birth_cohort1650M1655 0.05 0.09 -0.13 0.21 123
## birth_cohort1655M1660 0.07 0.08 -0.11 0.23 111
## birth_cohort1660M1665 0.04 0.08 -0.14 0.20 111
## birth_cohort1665M1670 0.02 0.08 -0.15 0.18 110
## birth_cohort1670M1675 -0.03 0.08 -0.20 0.13 109
## birth_cohort1675M1680 0.00 0.08 -0.17 0.15 109
## birth_cohort1680M1685 0.02 0.08 -0.15 0.18 108
## birth_cohort1685M1690 0.03 0.08 -0.14 0.18 109
## birth_cohort1690M1695 0.02 0.08 -0.15 0.18 109
## birth_cohort1695M1700 0.01 0.08 -0.17 0.16 108
## birth_cohort1700M1705 -0.01 0.08 -0.18 0.15 109
## birth_cohort1705M1710 -0.03 0.08 -0.20 0.13 109
## birth_cohort1710M1715 -0.03 0.08 -0.20 0.12 109
## birth_cohort1715M1720 -0.04 0.08 -0.21 0.11 108
## birth_cohort1720M1725 -0.04 0.08 -0.21 0.11 108
## birth_cohort1725M1730 -0.04 0.08 -0.22 0.11 108
## birth_cohort1730M1735 -0.02 0.08 -0.20 0.13 107
## birth_cohort1735M1740 -0.03 0.08 -0.20 0.12 108
## male1 0.11 0.00 0.11 0.12 3000
## maternalage.factor1420 -0.01 0.01 -0.02 0.01 3000
## maternalage.factor3550 0.01 0.01 -0.01 0.02 3000
## paternalage.mean -0.02 0.01 -0.04 0.00 1579
## paternal_loss01 -0.02 0.02 -0.05 0.02 1482
## paternal_loss15 -0.03 0.01 -0.06 0.00 1028
## paternal_loss510 -0.02 0.01 -0.04 0.01 957
## paternal_loss1015 -0.02 0.01 -0.04 0.00 920
## paternal_loss1520 -0.02 0.01 -0.04 0.00 1058
## paternal_loss2025 -0.02 0.01 -0.04 0.00 1040
## paternal_loss2530 -0.02 0.01 -0.04 0.00 1125
## paternal_loss3035 -0.03 0.01 -0.04 -0.01 1281
## paternal_loss3540 -0.02 0.01 -0.04 -0.01 1619
## paternal_loss4045 -0.01 0.01 -0.03 0.01 2165
## paternal_lossunclear -0.05 0.01 -0.07 -0.03 1059
## maternal_loss01 -0.05 0.02 -0.09 -0.01 3000
## maternal_loss15 -0.03 0.01 -0.05 0.00 1754
## maternal_loss510 0.00 0.01 -0.02 0.03 1548
## maternal_loss1015 -0.02 0.01 -0.04 0.00 1699
## maternal_loss1520 0.00 0.01 -0.02 0.02 1753
## maternal_loss2025 -0.02 0.01 -0.04 0.00 1675
## maternal_loss2530 -0.01 0.01 -0.03 0.00 2104
## maternal_loss3035 -0.01 0.01 -0.03 0.01 1817
## maternal_loss3540 0.00 0.01 -0.02 0.01 2116
## maternal_loss4045 0.00 0.01 -0.01 0.02 3000
## maternal_lossunclear -0.03 0.01 -0.05 -0.01 1416
## older_siblings1 -0.01 0.01 -0.02 0.00 3000
## older_siblings2 -0.02 0.01 -0.04 -0.01 2387
## older_siblings3 -0.03 0.01 -0.04 -0.01 1986
## older_siblings4 -0.02 0.01 -0.04 0.00 1859
## older_siblings5P -0.03 0.01 -0.05 0.00 1735
## nr.siblings 0.01 0.00 0.00 0.01 1583
## last_born1 0.00 0.01 -0.01 0.02 3000
## hu_Intercept -1.85 0.38 -2.64 -1.13 101
## hu_paternalage 0.15 0.04 0.08 0.23 1136
## hu_birth_cohort1635M1640 0.20 0.53 -0.86 1.25 239
## hu_birth_cohort1640M1645 0.38 0.45 -0.50 1.26 144
## hu_birth_cohort1645M1650 0.71 0.43 -0.12 1.57 125
## hu_birth_cohort1650M1655 0.61 0.41 -0.19 1.43 116
## hu_birth_cohort1655M1660 0.71 0.39 -0.01 1.51 108
## hu_birth_cohort1660M1665 0.78 0.38 0.05 1.56 102
## hu_birth_cohort1665M1670 1.01 0.38 0.28 1.79 102
## hu_birth_cohort1670M1675 1.02 0.38 0.31 1.81 100
## hu_birth_cohort1675M1680 1.09 0.38 0.37 1.87 100
## hu_birth_cohort1680M1685 1.24 0.38 0.53 2.02 98
## hu_birth_cohort1685M1690 1.34 0.38 0.61 2.11 100
## hu_birth_cohort1690M1695 1.06 0.38 0.34 1.83 99
## hu_birth_cohort1695M1700 1.07 0.37 0.37 1.86 98
## hu_birth_cohort1700M1705 1.23 0.37 0.52 2.01 99
## hu_birth_cohort1705M1710 1.11 0.37 0.39 1.88 99
## hu_birth_cohort1710M1715 1.35 0.37 0.63 2.13 99
## hu_birth_cohort1715M1720 1.17 0.37 0.47 1.94 99
## hu_birth_cohort1720M1725 1.15 0.37 0.43 1.92 99
## hu_birth_cohort1725M1730 1.44 0.37 0.75 2.22 99
## hu_birth_cohort1730M1735 1.48 0.37 0.78 2.25 98
## hu_birth_cohort1735M1740 1.33 0.37 0.63 2.09 98
## hu_male1 0.41 0.02 0.38 0.44 3000
## hu_maternalage.factor1420 0.07 0.04 0.00 0.14 3000
## hu_maternalage.factor3550 0.02 0.03 -0.03 0.08 3000
## hu_paternalage.mean -0.17 0.04 -0.25 -0.09 1255
## hu_paternal_loss01 0.57 0.07 0.44 0.71 3000
## hu_paternal_loss15 0.34 0.05 0.23 0.44 1590
## hu_paternal_loss510 0.33 0.05 0.24 0.42 1533
## hu_paternal_loss1015 0.18 0.04 0.10 0.27 1257
## hu_paternal_loss1520 0.29 0.04 0.21 0.37 1373
## hu_paternal_loss2025 0.20 0.04 0.13 0.27 1254
## hu_paternal_loss2530 0.20 0.04 0.13 0.27 1254
## hu_paternal_loss3035 0.16 0.04 0.08 0.22 1251
## hu_paternal_loss3540 0.11 0.04 0.04 0.18 1474
## hu_paternal_loss4045 0.09 0.04 0.01 0.16 1654
## hu_paternal_lossunclear 0.33 0.04 0.26 0.40 1188
## hu_maternal_loss01 1.11 0.07 0.97 1.25 3000
## hu_maternal_loss15 0.42 0.05 0.33 0.51 3000
## hu_maternal_loss510 0.29 0.04 0.21 0.37 1695
## hu_maternal_loss1015 0.27 0.04 0.19 0.35 3000
## hu_maternal_loss1520 0.21 0.04 0.13 0.29 3000
## hu_maternal_loss2025 0.18 0.04 0.10 0.26 3000
## hu_maternal_loss2530 0.09 0.04 0.01 0.16 1478
## hu_maternal_loss3035 0.12 0.03 0.05 0.19 3000
## hu_maternal_loss3540 0.09 0.03 0.03 0.16 3000
## hu_maternal_loss4045 0.02 0.03 -0.04 0.08 3000
## hu_maternal_lossunclear 0.17 0.04 0.09 0.24 1589
## hu_older_siblings1 -0.08 0.03 -0.13 -0.02 2139
## hu_older_siblings2 -0.12 0.03 -0.18 -0.05 1554
## hu_older_siblings3 -0.18 0.04 -0.25 -0.11 1383
## hu_older_siblings4 -0.20 0.04 -0.28 -0.12 1235
## hu_older_siblings5P -0.29 0.05 -0.39 -0.20 1056
## hu_nr.siblings 0.02 0.00 0.01 0.03 1815
## hu_last_born1 0.01 0.03 -0.04 0.06 3000
## Rhat
## Intercept 1.04
## paternalage 1.01
## birth_cohort1635M1640 1.02
## birth_cohort1640M1645 1.03
## birth_cohort1645M1650 1.03
## birth_cohort1650M1655 1.04
## birth_cohort1655M1660 1.04
## birth_cohort1660M1665 1.04
## birth_cohort1665M1670 1.04
## birth_cohort1670M1675 1.04
## birth_cohort1675M1680 1.04
## birth_cohort1680M1685 1.04
## birth_cohort1685M1690 1.04
## birth_cohort1690M1695 1.04
## birth_cohort1695M1700 1.04
## birth_cohort1700M1705 1.04
## birth_cohort1705M1710 1.04
## birth_cohort1710M1715 1.04
## birth_cohort1715M1720 1.04
## birth_cohort1720M1725 1.04
## birth_cohort1725M1730 1.04
## birth_cohort1730M1735 1.04
## birth_cohort1735M1740 1.04
## 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 1.01
## paternal_loss1015 1.01
## 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 1.06
## hu_paternalage 1.01
## hu_birth_cohort1635M1640 1.02
## hu_birth_cohort1640M1645 1.04
## hu_birth_cohort1645M1650 1.05
## hu_birth_cohort1650M1655 1.05
## hu_birth_cohort1655M1660 1.06
## hu_birth_cohort1660M1665 1.06
## hu_birth_cohort1665M1670 1.06
## hu_birth_cohort1670M1675 1.06
## hu_birth_cohort1675M1680 1.06
## hu_birth_cohort1680M1685 1.06
## hu_birth_cohort1685M1690 1.06
## hu_birth_cohort1690M1695 1.06
## hu_birth_cohort1695M1700 1.07
## hu_birth_cohort1700M1705 1.06
## hu_birth_cohort1705M1710 1.06
## hu_birth_cohort1710M1715 1.06
## hu_birth_cohort1715M1720 1.06
## hu_birth_cohort1720M1725 1.06
## hu_birth_cohort1725M1730 1.06
## hu_birth_cohort1730M1735 1.06
## hu_birth_cohort1735M1740 1.07
## 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 1.01
## hu_older_siblings5P 1.01
## 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">8.584</td>
<td align="center">7.331</td>
<td align="center">10.18</td>
</tr>
<tr class="even">
<td align="center"><strong>paternalage</strong></td>
<td align="center">1.005</td>
<td align="center">0.9862</td>
<td align="center">1.022</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1635M1640</strong></td>
<td align="center">1.166</td>
<td align="center">0.9579</td>
<td align="center">1.405</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1640M1645</strong></td>
<td align="center">1.175</td>
<td align="center">0.9856</td>
<td align="center">1.389</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1645M1650</strong></td>
<td align="center">1.035</td>
<td align="center">0.8671</td>
<td align="center">1.224</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1650M1655</strong></td>
<td align="center">1.053</td>
<td align="center">0.8774</td>
<td align="center">1.237</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1655M1660</strong></td>
<td align="center">1.07</td>
<td align="center">0.8988</td>
<td align="center">1.253</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1660M1665</strong></td>
<td align="center">1.039</td>
<td align="center">0.8707</td>
<td align="center">1.217</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1665M1670</strong></td>
<td align="center">1.023</td>
<td align="center">0.863</td>
<td align="center">1.194</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1670M1675</strong></td>
<td align="center">0.9725</td>
<td align="center">0.8162</td>
<td align="center">1.135</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1675M1680</strong></td>
<td align="center">0.998</td>
<td align="center">0.8395</td>
<td align="center">1.16</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1680M1685</strong></td>
<td align="center">1.024</td>
<td align="center">0.8597</td>
<td align="center">1.192</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1685M1690</strong></td>
<td align="center">1.028</td>
<td align="center">0.8656</td>
<td align="center">1.199</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1690M1695</strong></td>
<td align="center">1.022</td>
<td align="center">0.8598</td>
<td align="center">1.193</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1695M1700</strong></td>
<td align="center">1.008</td>
<td align="center">0.8471</td>
<td align="center">1.173</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1700M1705</strong></td>
<td align="center">0.9928</td>
<td align="center">0.8351</td>
<td align="center">1.157</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1705M1710</strong></td>
<td align="center">0.975</td>
<td align="center">0.8206</td>
<td align="center">1.137</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1710M1715</strong></td>
<td align="center">0.9693</td>
<td align="center">0.8153</td>
<td align="center">1.132</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1715M1720</strong></td>
<td align="center">0.9574</td>
<td align="center">0.8082</td>
<td align="center">1.115</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1720M1725</strong></td>
<td align="center">0.9601</td>
<td align="center">0.807</td>
<td align="center">1.12</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1725M1730</strong></td>
<td align="center">0.9572</td>
<td align="center">0.8062</td>
<td align="center">1.115</td>
</tr>
<tr class="even">
<td align="center"><strong>birth_cohort1730M1735</strong></td>
<td align="center">0.9763</td>
<td align="center">0.8227</td>
<td align="center">1.135</td>
</tr>
<tr class="odd">
<td align="center"><strong>birth_cohort1735M1740</strong></td>
<td align="center">0.9717</td>
<td align="center">0.8185</td>
<td align="center">1.132</td>
</tr>
<tr class="even">
<td align="center"><strong>male1</strong></td>
<td align="center">1.121</td>
<td align="center">1.113</td>
<td align="center">1.13</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternalage.factor1420</strong></td>
<td align="center">0.9922</td>
<td align="center">0.976</td>
<td align="center">1.008</td>
</tr>
<tr class="even">
<td align="center"><strong>maternalage.factor3550</strong></td>
<td align="center">1.005</td>
<td align="center">0.9915</td>
<td align="center">1.019</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternalage.mean</strong></td>
<td align="center">0.9781</td>
<td align="center">0.9586</td>
<td align="center">0.9979</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss01</strong></td>
<td align="center">0.9816</td>
<td align="center">0.9466</td>
<td align="center">1.018</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss15</strong></td>
<td align="center">0.9718</td>
<td align="center">0.944</td>
<td align="center">0.9992</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss510</strong></td>
<td align="center">0.9849</td>
<td align="center">0.9612</td>
<td align="center">1.011</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss1015</strong></td>
<td align="center">0.9789</td>
<td align="center">0.9567</td>
<td align="center">1.002</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss1520</strong></td>
<td align="center">0.9794</td>
<td align="center">0.9585</td>
<td align="center">1.001</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss2025</strong></td>
<td align="center">0.9818</td>
<td align="center">0.9622</td>
<td align="center">1.003</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss2530</strong></td>
<td align="center">0.9786</td>
<td align="center">0.9599</td>
<td align="center">0.997</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss3035</strong></td>
<td align="center">0.9738</td>
<td align="center">0.9578</td>
<td align="center">0.9907</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_loss3540</strong></td>
<td align="center">0.9765</td>
<td align="center">0.9608</td>
<td align="center">0.9924</td>
</tr>
<tr class="odd">
<td align="center"><strong>paternal_loss4045</strong></td>
<td align="center">0.9915</td>
<td align="center">0.975</td>
<td align="center">1.009</td>
</tr>
<tr class="even">
<td align="center"><strong>paternal_lossunclear</strong></td>
<td align="center">0.9503</td>
<td align="center">0.9293</td>
<td align="center">0.9718</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss01</strong></td>
<td align="center">0.949</td>
<td align="center">0.9101</td>
<td align="center">0.9913</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss15</strong></td>
<td align="center">0.9751</td>
<td align="center">0.9489</td>
<td align="center">1.001</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss510</strong></td>
<td align="center">1.003</td>
<td align="center">0.9803</td>
<td align="center">1.027</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss1015</strong></td>
<td align="center">0.9818</td>
<td align="center">0.961</td>
<td align="center">1.004</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss1520</strong></td>
<td align="center">0.9982</td>
<td align="center">0.978</td>
<td align="center">1.02</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss2025</strong></td>
<td align="center">0.9769</td>
<td align="center">0.9578</td>
<td align="center">0.9965</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss2530</strong></td>
<td align="center">0.9864</td>
<td align="center">0.9689</td>
<td align="center">1.004</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss3035</strong></td>
<td align="center">0.9897</td>
<td align="center">0.9744</td>
<td align="center">1.006</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_loss3540</strong></td>
<td align="center">0.9972</td>
<td align="center">0.9825</td>
<td align="center">1.012</td>
</tr>
<tr class="even">
<td align="center"><strong>maternal_loss4045</strong></td>
<td align="center">1.004</td>
<td align="center">0.9896</td>
<td align="center">1.019</td>
</tr>
<tr class="odd">
<td align="center"><strong>maternal_lossunclear</strong></td>
<td align="center">0.9726</td>
<td align="center">0.9518</td>
<td align="center">0.9926</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings1</strong></td>
<td align="center">0.9888</td>
<td align="center">0.9763</td>
<td align="center">1.002</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings2</strong></td>
<td align="center">0.9762</td>
<td align="center">0.9618</td>
<td align="center">0.9906</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings3</strong></td>
<td align="center">0.9745</td>
<td align="center">0.9577</td>
<td align="center">0.9915</td>
</tr>
<tr class="odd">
<td align="center"><strong>older_siblings4</strong></td>
<td align="center">0.9835</td>
<td align="center">0.9649</td>
<td align="center">1.002</td>
</tr>
<tr class="even">
<td align="center"><strong>older_siblings5P</strong></td>
<td align="center">0.9729</td>
<td align="center">0.95</td>
<td align="center">0.9953</td>
</tr>
<tr class="odd">
<td align="center"><strong>nr.siblings</strong></td>
<td align="center">1.006</td>
<td align="center">1.004</td>
<td align="center">1.009</td>
</tr>
<tr class="even">
<td align="center"><strong>last_born1</strong></td>
<td align="center">1.004</td>
<td align="center">0.9906</td>
<td align="center">1.016</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_Intercept</strong></td>
<td align="center">0.157</td>
<td align="center">0.07153</td>
<td align="center">0.3242</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternalage</strong></td>
<td align="center">1.164</td>
<td align="center">1.082</td>
<td align="center">1.256</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1635M1640</strong></td>
<td align="center">1.224</td>
<td align="center">0.4235</td>
<td align="center">3.501</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1640M1645</strong></td>
<td align="center">1.468</td>
<td align="center">0.6089</td>
<td align="center">3.537</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1645M1650</strong></td>
<td align="center">2.032</td>
<td align="center">0.8846</td>
<td align="center">4.829</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1650M1655</strong></td>
<td align="center">1.839</td>
<td align="center">0.8278</td>
<td align="center">4.183</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1655M1660</strong></td>
<td align="center">2.036</td>
<td align="center">0.9904</td>
<td align="center">4.525</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1660M1665</strong></td>
<td align="center">2.183</td>
<td align="center">1.054</td>
<td align="center">4.766</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1665M1670</strong></td>
<td align="center">2.74</td>
<td align="center">1.325</td>
<td align="center">5.982</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1670M1675</strong></td>
<td align="center">2.781</td>
<td align="center">1.363</td>
<td align="center">6.108</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1675M1680</strong></td>
<td align="center">2.962</td>
<td align="center">1.45</td>
<td align="center">6.471</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1680M1685</strong></td>
<td align="center">3.473</td>
<td align="center">1.697</td>
<td align="center">7.567</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1685M1690</strong></td>
<td align="center">3.801</td>
<td align="center">1.847</td>
<td align="center">8.24</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1690M1695</strong></td>
<td align="center">2.892</td>
<td align="center">1.411</td>
<td align="center">6.225</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1695M1700</strong></td>
<td align="center">2.924</td>
<td align="center">1.448</td>
<td align="center">6.396</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1700M1705</strong></td>
<td align="center">3.416</td>
<td align="center">1.685</td>
<td align="center">7.44</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1705M1710</strong></td>
<td align="center">3.034</td>
<td align="center">1.472</td>
<td align="center">6.533</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1710M1715</strong></td>
<td align="center">3.862</td>
<td align="center">1.884</td>
<td align="center">8.395</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1715M1720</strong></td>
<td align="center">3.217</td>
<td align="center">1.599</td>
<td align="center">6.974</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1720M1725</strong></td>
<td align="center">3.15</td>
<td align="center">1.538</td>
<td align="center">6.82</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1725M1730</strong></td>
<td align="center">4.234</td>
<td align="center">2.107</td>
<td align="center">9.17</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_birth_cohort1730M1735</strong></td>
<td align="center">4.406</td>
<td align="center">2.172</td>
<td align="center">9.507</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_birth_cohort1735M1740</strong></td>
<td align="center">3.763</td>
<td align="center">1.874</td>
<td align="center">8.086</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_male1</strong></td>
<td align="center">1.508</td>
<td align="center">1.462</td>
<td align="center">1.556</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternalage.factor1420</strong></td>
<td align="center">1.077</td>
<td align="center">1.004</td>
<td align="center">1.155</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternalage.factor3550</strong></td>
<td align="center">1.022</td>
<td align="center">0.9694</td>
<td align="center">1.079</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternalage.mean</strong></td>
<td align="center">0.8452</td>
<td align="center">0.7798</td>
<td align="center">0.9139</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss01</strong></td>
<td align="center">1.769</td>
<td align="center">1.553</td>
<td align="center">2.027</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss15</strong></td>
<td align="center">1.4</td>
<td align="center">1.258</td>
<td align="center">1.552</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss510</strong></td>
<td align="center">1.395</td>
<td align="center">1.274</td>
<td align="center">1.526</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss1015</strong></td>
<td align="center">1.202</td>
<td align="center">1.108</td>
<td align="center">1.305</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss1520</strong></td>
<td align="center">1.335</td>
<td align="center">1.232</td>
<td align="center">1.442</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss2025</strong></td>
<td align="center">1.221</td>
<td align="center">1.133</td>
<td align="center">1.313</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss2530</strong></td>
<td align="center">1.22</td>
<td align="center">1.137</td>
<td align="center">1.31</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss3035</strong></td>
<td align="center">1.169</td>
<td align="center">1.088</td>
<td align="center">1.252</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_loss3540</strong></td>
<td align="center">1.117</td>
<td align="center">1.043</td>
<td align="center">1.197</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_paternal_loss4045</strong></td>
<td align="center">1.089</td>
<td align="center">1.008</td>
<td align="center">1.173</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_paternal_lossunclear</strong></td>
<td align="center">1.395</td>
<td align="center">1.295</td>
<td align="center">1.498</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss01</strong></td>
<td align="center">3.029</td>
<td align="center">2.644</td>
<td align="center">3.483</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss15</strong></td>
<td align="center">1.52</td>
<td align="center">1.386</td>
<td align="center">1.668</td>
</tr>
<tr class="odd">
<td align="center"><strong>hu_maternal_loss510</strong></td>
<td align="center">1.336</td>
<td align="center">1.229</td>
<td align="center">1.45</td>
</tr>
<tr class="even">
<td align="center"><strong>hu_maternal_loss1015</strong></td>
<td align="center">1.311</td>
<td align="center">1.211</td>
<td align="center">1.419</td>