DOAJ Open Access 2024

Methods in causal inference. Part 4: confounding in experiments

Joseph A. Bulbulia

Abstrak

Confounding bias arises when a treatment and outcome share a common cause. In randomised controlled experiments (trials), treatment assignment is random, ostensibly eliminating confounding bias. Here, we use causal directed acyclic graphs to unveil eight structural sources of bias that nevertheless persist in these trials. This analysis highlights the crucial role of causal inference methods in the design and analysis of experiments, ensuring the validity of conclusions drawn from experimental data.

Topik & Kata Kunci

Human evolution Evolution

Penulis (1)

Joseph A. Bulbulia

Format Sitasi

APA MLA BibTeX

Bulbulia, J.A. (2024). Methods in causal inference. Part 4: confounding in experiments. https://doi.org/10.1017/ehs.2024.34

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1017/ehs.2024.34
Akses: Open Access ✓