STAT24630 Causal Inference Methods and Case Studies | Jingshu Wanghttps://jingshuw.org/course/stat246_2026/STAT24630 Causal Inference Methods and Case StudiesWowchemy (https://wowchemy.com)en-us'@copy;' Jingshu Wang 2026Sun, 09 Sep 2018 00:00:00 +0000https://jingshuw.org/images/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_2.pngSTAT24630 Causal Inference Methods and Case Studieshttps://jingshuw.org/course/stat246_2026/<link>https://jingshuw.org/course/stat246_2026/lecture_notes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://jingshuw.org/course/stat246_2026/lecture_notes/</guid><description><h2 id="course-materials">Course Materials</h2> <table> <thead> <tr> <th>Week</th> <th>Date</th> <th>Topic</th> <th>Slides</th> <th>Extra materials</th> <th>Due</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>2025-09-30</td> <td>General introduction with four examples</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture1.pdf" target="_blank">Lecture 1</a></td> <td>Papers listed at the end of slides</td> <td>&mdash;</td> </tr> <tr> <td>1</td> <td>2025-10-02</td> <td>Potential outcome framework concepts</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture2.pdf" target="_blank">Lecture 2</a></td> <td>Papers listed at the end of slides</td> <td>&mdash;</td> </tr> <tr> <td>2</td> <td>2025-10-07</td> <td>Randomized experiment and Fisher&rsquo;s exact p-value</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture3.pdf" target="_blank">Lecture 3</a></td> <td>&mdash;</td> <td>&mdash;</td> </tr> <tr> <td>3</td> <td>2025-10-14</td> <td>Fisher’s exact test: R example and case study</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture4.pdf" target="_blank">Lecture 4</a></td> <td><a href="https://jingshuw.org/materials/stat246_2026/R_example1.html" target="_blank">R Example to compute Fisher&rsquo;s exact p-value</a></td> <td>&mdash;</td> </tr> <tr> <td>3</td> <td>2025-10-16</td> <td>Neyman’s repeated sampling approach for completely randomized experiments</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture5.pdf" target="_blank">Lecture 5</a></td> <td>&mdash;</td> <td>&mdash;</td> </tr> <tr> <td>3</td> <td>2025-10-19</td> <td>&mdash;</td> <td>&mdash;</td> <td>&mdash;</td> <td>HW1 due at 11:59pm</td> </tr> <tr> <td>4</td> <td>2025-10-21</td> <td>Regression for completely randomized experiment</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture6.pdf" target="_blank">Lecture 6</a></td> <td><a href="https://jingshuw.org/materials/stat246_2026/R_example2.html" target="_blank">R Example for regression analysis</a></td> <td>&mdash;</td> </tr> <tr> <td>4</td> <td>2025-10-23</td> <td>Stratified randomized experiments</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture7.pdf" target="_blank">Lecture 7</a></td> <td><a href="https://jingshuw.org/materials/stat246_2026/R_example4.html" target="_blank">case study on HOMEFOOD randomized trial</a></td> <td>&mdash;</td> </tr> <tr> <td>4</td> <td>2025-10-24</td> <td>&mdash;</td> <td>&mdash;</td> <td>&mdash;</td> <td>Quiz1 due</td> </tr> <tr> <td>5</td> <td>2025-10-27</td> <td>&mdash;</td> <td>&mdash;</td> <td>&mdash;</td> <td>HW2 due at 11:59pm</td> </tr> <tr> <td>5</td> <td>2025-10-28</td> <td>Pairwise randomized experiments</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture8.pdf" target="_blank">Lecture 8</a></td> <td><a href="https://jingshuw.org/materials/stat246_2026/R_example3.nb.html" target="_blank">R example</a></td> <td>&mdash;</td> </tr> <tr> <td>5</td> <td>2025-10-30</td> <td>Non-compliance and instrumental variables, part I</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture9.pdf" target="_blank">Lecture 9</a></td> <td>&mdash;</td> <td>&mdash;</td> </tr> <tr> <td>6</td> <td>2025-11-04</td> <td>Non-compliance and instrumental variables, part II</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture10.pdf" target="_blank">Lecture 10</a></td> <td><a href="https://jingshuw.org/materials/stat246_2026/R_example5.html" target="_blank">R example on Job Search Intervention Study</a></td> <td>&mdash;</td> </tr> <tr> <td>6</td> <td>2025-11-06</td> <td>Conditional randomized experiments, unconfoundedness</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture11.pdf" target="_blank">Lecture 11</a></td> <td>&mdash;</td> <td>&mdash;</td> </tr> <tr> <td>6</td> <td>2025-11-09</td> <td>&mdash;</td> <td>&mdash;</td> <td>&mdash;</td> <td>Project Dataset selection due at 11:59pm</td> </tr> <tr> <td>7</td> <td>2025-11-10</td> <td>&mdash;</td> <td>&mdash;</td> <td>&mdash;</td> <td>HW3 due at 11:59pm</td> </tr> <tr> <td>7</td> <td>2025-11-11</td> <td>Propensity score estimation, trimming, stratification</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture12.pdf" target="_blank">Lecture 12</a></td> <td><a href="https://jingshuw.org/materials/stat246_2026/R_example6.html" target="_blank">Simple stratification</a>, <a href="https://jingshuw.org/materials/stat246_2026/R_example7.nb.html" target="_blank">Lalonde stratification</a></td> <td>&mdash;</td> </tr> <tr> <td>7</td> <td>2025-11-13</td> <td>Matching methods</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture13.pdf" target="_blank">Lecture 13</a></td> <td><a href="https://jingshuw.org/materials/stat246_2026/R_example8.nb.html" target="_blank">Lalonde matching</a></td> <td>&mdash;</td> </tr> <tr> <td>8</td> <td>2025-11-18</td> <td>Inverse probability weighting &amp; doubly robust estimator</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture14.pdf" target="_blank">Lecture 14</a>, <a href="https://jingshuw.org/materials/stat246_2026/Lecture15.pdf" target="_blank">Lecture 15</a></td> <td><a href="https://jingshuw.org/materials/stat246_2026/R_example9.nb.html" target="_blank">Lalonde IPW</a></td> <td>&mdash;</td> </tr> <tr> <td>8</td> <td>2025-11-20</td> <td>Assessing unconfoundedness &amp; Sensitivity Analysis (if time permit)</td> <td><a href="https://jingshuw.org/materials/stat246_2026/Lecture16.pdf" target="_blank">Lecture 16</a>, <a href="https://jingshuw.org/materials/stat246_2026/Lecture17.pdf" target="_blank">Lecture 17</a></td> <td>&mdash;</td> <td>&mdash;</td> </tr> <tr> <td>8</td> <td>2025-11-21</td> <td>&mdash;</td> <td>&mdash;</td> <td>&mdash;</td> <td>Quiz2 due</td> </tr> <tr> <td>8</td> <td>2025-11-23</td> <td>&mdash;</td> <td>&mdash;</td> <td>&mdash;</td> <td>HW4 due at 11:59pm</td> </tr> </tbody> </table></description></item></channel></rss>