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September 1, 1975Journal of the American Statistical Association102 citations

A Hybrid Epidemiologic Study Design Useful in Estimating Relative Risk

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LKLawrence L. KupperAMAnthony J. McMichaelRSRobert Spirtas

Key Points

  • To introduce a hybrid retrospective epidemiologic study design that accurately estimates relative risk and incidence rates within defined populations.
  • Designed a protocol gathering exposure information from all identified cases and a random sample of the original population at risk (PAR).
  • Derived confidence interval equations and sample size requirements for the PAR sample under the assumption that random sampling is the sole stochastic element, incorporating methods for stratified analysis.
  • Established mathematical formulas for calculating confidence intervals of incidence rates and relative risk (R).
  • Formulated sample size criteria for the sampled cohort and validated the stratified analytical framework with a numerical example.

Abstract

Abstract A type of hybrid retrospective design for epidemiologic studies within defined populations is considered. The design requires “exposure” information for the complete population of cases and for a random sample of the original population at risk (PAR). Assuming that the only stochastic feature occurs with the random sampling of the PAR, confidence intervals for incidence rates and relative risk (R) are developed in conjunction with PAR sample size requirements. Analysis by stratification is discussed and a numerical example included.

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Cite This Study

Kupper et al. (1975) studied this question.

synapsesocial.com/papers/6a0ed20e2eca052da647d0e3https://doi.org/10.1080/01621459.1975.10482466
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