Negative Controls¶
Lipsitch, M., Tchetgen Tchetgen, E., & Cohen, T. (2010). Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies. Epidemiology, 21(3), 383-388.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Signal Extraction
- The prime's misspecification-penalty result is the central caution of the field: when the noise model is wrong — an unmeasured confounder, a mis-specified functional form — the extracted effect acquires a bias bounded by the signal-noise overlap on that dimension, which is why analysts inspect residual confounding via negative controls and sensitivity analysis.
This sourceEstablishes negative controls and sensitivity analysis as diagnostics for residual confounding when the confounder (noise) model is misspecified.
- The prime's misspecification-penalty result is the central caution of the field: when the noise model is wrong — an unmeasured confounder, a mis-specified functional form — the extracted effect acquires a bias bounded by the signal-noise overlap on that dimension, which is why analysts inspect residual confounding via negative controls and sensitivity analysis.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:54b1f1bd215e · see in the full table