Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation
BackgroundSelection bias and unmeasured confounding are fundamental problems in epidemiology that threaten study internal and external validity. These phenomena are particularly dangerous in internet-based public health surveillance, where traditional mitigation and adjustmen...
সংরক্ষণ করুন:
| প্রধান লেখক: | , , , , , |
|---|---|
| বিন্যাস: | Artigo |
| ভাষা: | Inglês |
| প্রকাশিত: |
JMIR Publications
2022-07-01
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| মালা: | JMIR Public Health and Surveillance |
| অনলাইন ব্যবহার করুন: | https://publichealth.jmir.org/2022/7/e31306 |
| ট্যাগগুলো: |
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