{"id":381742,"date":"2024-01-27T18:00:00","date_gmt":"2024-01-28T00:00:00","guid":{"rendered":"https:\/\/www.kenkoonwong.com\/blog\/cate-gam\/"},"modified":"2024-01-27T18:00:00","modified_gmt":"2024-01-28T00:00:00","slug":"exploring-non-linear-effects-visual-cate-analysis-of-continuous-confounders-binary-exposures-and-continuous-outcomes","status":"publish","type":"post","link":"https:\/\/www.r-bloggers.com\/2024\/01\/exploring-non-linear-effects-visual-cate-analysis-of-continuous-confounders-binary-exposures-and-continuous-outcomes\/","title":{"rendered":"Exploring Non-linear Effects: Visual CATE Analysis of Continuous Confounders, Binary Exposures, and Continuous Outcomes"},"content":{"rendered":"\r\n\r\n
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It was enjoyable to visualize the non-linear relationship with interaction and observe the corresponding changes in CATE. If one understands the underlying equation, it\u2019s possible to easily obtain the ATE using calculus. Lastly, adopting Richard McElreath\u2019s Owl framework as a documented procedure ensures quality assurance! \ud83d\ude4c<\/p>\n<\/blockquote>\n

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Question of the Day\n \n <\/path>\n <\/path>\n <\/svg><\/a>\n<\/h2>\n

Is there a change in CATE if there is interaction between our confounder and exposure, present of non-linear relationship of confounder and outcome? It sounds like there should be, shouldn\u2019t it? Let\u2019s test the theory out<\/p>\n

One of my goals this year is to finish \nStatistical Rethinking<\/a> videos by Richard McElreath. Using his scientific framework of establishing DAG, Golem, and Owl to go through this interesting question we have, without bayesian method.<\/p>\n

If you\u2019re only interested in the non-linear effect exploration, please skip to \nVisualization<\/a> or follow the <- TL;DR<\/code> on objectives.<\/p>\n\n\n\n\n

Objectives:\n \n <\/path>\n <\/path>\n <\/svg><\/a>\n<\/h3>\n