Limitations of the Application of Fourfold Table Analysis to Hospital Data.¶
Berkson, J. (1946). Limitations of the Application of Fourfold Table Analysis to Hospital Data. Biometrics Bulletin, 2(3), 47-53.
Cited by¶
2 citations across 2 artifacts.
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Primes¶
- Absence as Information
- Two further modes deepen the analysis. Reasoning about selection effects: the population one can observe is bounded by an absence-process one may not have modelled, and Berkson's bias, selection bias, survivorship bias, and publication bias are all failures to model an absence-process — which unifies a scattered set of named biases under a single structural cause.
This sourceIdentifies the selection (Berkson's) bias that arises when the observable population is conditioned by an unmodeled selection process.
- Two further modes deepen the analysis. Reasoning about selection effects: the population one can observe is bounded by an absence-process one may not have modelled, and Berkson's bias, selection bias, survivorship bias, and publication bias are all failures to model an absence-process — which unifies a scattered set of named biases under a single structural cause.
- Selection Bias
- The tension between prevention rigor and the realities of observational data drives methodological choice
This sourceBerkson hospital data case-control collider bias spurious association.
- The tension between prevention rigor and the realities of observational data drives methodological choice
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