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Bayesian nested case-control/Evidence
Method evidence record

Bayesian nested case-control

A Bayesian nested case-control study embeds a case-control sampling scheme within a defined prospective cohort and then estimates exposure-outcome associations using Bayesian inference. Cases are individuals in the cohort who develop the outcome of interest; controls are sampled from the risk set at the time each case is identified. The Bayesian framework allows incorporation of prior knowledge — from earlier studies, expert opinion, or biological plausibility — and produces full posterior distributions for effect estimates rather than single-point estimates with confidence intervals.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Nested Case-Control Study
Taxonomic method record · process-pipeline / epidemiology
  • Thomas, D. C. (1977). Addendum to: Methods of cohort analysis: Appraisal by application to asbestos mining. Journal of the Royal Statistical Society, Series A, 140(4), 469–491. · URL
  • Wakefield, J. (2007). Disease mapping and spatial regression with count data. Biostatistics, 8(2), 158–183. · DOI 10.1093/biostatistics/kxl008
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBayesian Case-Control Studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Cohort Studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCase-control studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCohort Studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNested case-controlmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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