## Selection Bias vs. Confounding: Operational Distinction **Key Point:** Selection bias and confounding are fundamentally different sources of error. Selection bias is a **structural flaw in how subjects enter the study**; confounding is a **variable imbalance between exposure groups**. ### Core Distinction | Dimension | Selection Bias | Confounding | |-----------|----------------|-------------| | **Origin** | **How subjects are selected/recruited** | **An extraneous variable** | | **Timing** | Occurs at **study design/recruitment** | Occurs at **analysis** | | **Association** | Affects probability of being selected | Associated with both exposure AND outcome | | **Adjustment** | **Cannot be fixed by statistical control** | **Can be reduced/eliminated by adjustment** | | **Example** | Healthy worker effect; volunteer bias | Smoking confounding coffee–MI link | ### In This Scenario The question presents: - **Crude OR:** 3.2 (95% CI 2.1–4.8) - **Adjusted OR:** 2.8 (95% CI 1.9–4.1) - **Interpretation:** Modest reduction after adjustment This pattern suggests **confounding** (not selection bias) because: 1. The association **persists but weakens** after adjustment 2. Age, smoking, and obesity are variables that can be measured and controlled 3. Selection bias would not respond predictably to adjustment **High-Yield:** The **defining feature of selection bias is that it cannot be corrected by statistical adjustment** — it is baked into the study design. Confounding, by contrast, can be partially or fully removed by controlling for the confounder. **Mnemonic:** **SECO** — **S**election bias = **E**ntry into study; **C**onfounding = **C**ovariate imbalance; **O**ne cannot be fixed, **O**ther can. [cite:Park 26e Ch 8]
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