دورية أكاديمية
Synthesizing subject-matter expertise for variable selection in causal effect estimation: A case study.
| العنوان: | Synthesizing subject-matter expertise for variable selection in causal effect estimation: A case study. |
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| المؤلفون: | Debertin, Julia, Jurado Vélez, Javier A, Corlin, Laura, Hidalgo, Bertha, Murray, Eleanor J |
| المصدر: | Epidemiology ; ISSN:1531-5487 |
| بيانات النشر: | Wolters Kluwer |
| سنة النشر: | 2024 |
| المجموعة: | PubMed Central (PMC) |
| الوصف: | Causal graphs are an important tool for covariate selection but there is limited applied research on how best to create them. Here, we used data from the Coronary Drug Project (CDP) trial to assess a range of approaches to directed acyclic graph (DAG) creation. We focused on the effect of adherence on mortality in the placebo arm, since the true causal effect is believed with a high degree of certainty. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | https://doi.org/10.1097/EDE.0000000000001758Test; https://pubmed.ncbi.nlm.nih.gov/38860706Test |
| DOI: | 10.1097/EDE.0000000000001758 |
| الإتاحة: | https://doi.org/10.1097/EDE.0000000000001758Test https://pubmed.ncbi.nlm.nih.gov/38860706Test |
| حقوق: | Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. |
| رقم الانضمام: | edsbas.734EE0FD |
| قاعدة البيانات: | BASE |
| DOI: | 10.1097/EDE.0000000000001758 |
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