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Linear-models-overview.html

@@ -3920,15 +3920,15 @@ <h3 class="anchored">Note</h3>
 <tbody>
 <tr class="odd">
 <td style="text-align: left;">full</td>
-<td style="text-align: right;">6.756</td>
+<td style="text-align: right;">6.929</td>
 <td style="text-align: right;">0.4805</td>
 <td style="text-align: right;">0.3831</td>
 <td style="text-align: right;">5.956</td>
 <td style="text-align: right;">-61.84</td>
 </tr>
 <tr class="even">
 <td style="text-align: left;">reduced</td>
-<td style="text-align: right;">6.518</td>
+<td style="text-align: right;">6.513</td>
 <td style="text-align: right;">0.4454</td>
 <td style="text-align: right;">0.3802</td>
 <td style="text-align: right;">5.971</td>
@@ -4065,10 +4065,10 @@ <h3 class="anchored">Note</h3>
 <details class="code-fold"><summary>Show R code</summary><div class="sourceCode" id="cb105"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/stats/coef.html">coef</a></span><span class="op">(</span><span class="va">cvfit</span>, s <span class="op">=</span> <span class="st">"lambda.1se"</span><span class="op">)</span></span>
 <span><span class="co">#&gt; 4 x 1 sparse Matrix of class "dgCMatrix"</span></span>
 <span><span class="co">#&gt;                  s1</span></span>
-<span><span class="co">#&gt; (Intercept) 34.2044</span></span>
+<span><span class="co">#&gt; (Intercept) 34.1090</span></span>
 <span><span class="co">#&gt; age          .     </span></span>
-<span><span class="co">#&gt; weight      -0.0926</span></span>
-<span><span class="co">#&gt; protein      0.8582</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span><span class="co">#&gt; weight      -0.1041</span></span>
+<span><span class="co">#&gt; protein      0.9441</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </details>
 </div>
 </section></section></section><section id="categorical-covariates-with-more-than-two-levels" class="level2" data-number="2.10"><h2 data-number="2.10" class="anchored" data-anchor-id="categorical-covariates-with-more-than-two-levels">

Linear-models-overview_files/figure-html/unnamed-chunk-104-1.png

@@ -389,7 +389,7 @@ <h2 id="toc-title">Table of contents</h2>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">Last modified: 2024-06-03: 11:09:45 (AM)</p>
+      <p class="date">Last modified: 2024-06-03: 12:31:42 (PM)</p>
     </div>
   </div>
 
@@ -493,6 +493,7 @@ <h2 class="unnumbered anchored" data-anchor-id="other-resources">Other resources
 <li><p><span class="citation" data-cites="NahhasIRMPHR">Nahhas (<a href="references.html#ref-NahhasIRMPHR" role="doc-biblioref">2024</a>)</span> is currently in-development</p></li>
 <li><p><span class="citation" data-cites="clayton2013statistical">Clayton and Hills (<a href="references.html#ref-clayton2013statistical" role="doc-biblioref">2013</a>)</span> covers binary regression, count regression, and survival analysis. Haven’t started it yet.</p></li>
 <li><p><a href="https://thomaselove.github.io/2020-432-book/index.html" class="uri">https://thomaselove.github.io/2020-432-book/index.html</a> is another set of lecture notes.</p></li>
+<li><p><span class="citation" data-cites="woodward2013epidemiology">Woodward (<a href="references.html#ref-woodward2013epidemiology" role="doc-biblioref">2013</a>)</span> covers GLMs and survival; haven’t read it yet, but it looks comprehensive.</p></li>
 </ul>
 </section>
 <section id="license" class="level2 unnumbered">
@@ -567,6 +568,9 @@ <h2 class="unnumbered anchored" data-anchor-id="license">License</h2>
 <div id="ref-vittinghoff2e" class="csl-entry" role="listitem">
 Vittinghoff, Eric, David V Glidden, Stephen C Shiboski, and Charles E McCulloch. 2012. <em>Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models</em>. 2nd ed. Springer. <a href="https://doi.org/10.1007/978-1-4614-1353-0">https://doi.org/10.1007/978-1-4614-1353-0</a>.
 </div>
+<div id="ref-woodward2013epidemiology" class="csl-entry" role="listitem">
+Woodward, Mark. 2013. <em>Epidemiology: Study Design and Data Analysis</em>. CRC press. <a href="https://www.routledge.com/Epidemiology-Study-Design-and-Data-Analysis-Third-Edition/Woodward/p/book/9781439839706">https://www.routledge.com/Epidemiology-Study-Design-and-Data-Analysis-Third-Edition/Woodward/p/book/9781439839706</a>.
+</div>
 </div>
 </section>
 </section>