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Case–control studies with complex sampling

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  • Alastair Scott
  • Chris Wild

Abstract

The use of complex sampling designs in population‐based case–control studies is becoming more common, particularly for sampling the control population. This is prompted by all the usual cost and logistical benefits that are conferred by multistage sampling. Complex sampling has often been ignored in analysis but, with the advent of packages like SUDAAN, survey‐weighted analyses that take account of the sample design can be carried out routinely. This paper explores this approach and more efficient alternatives, which can also be implemented by using readily available software.

Suggested Citation

  • Alastair Scott & Chris Wild, 2001. "Case–control studies with complex sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(3), pages 389-401.
    • Handle: RePEc:bla:jorssc:v:50:y:2001:i:3:p:389-401
    DOI: 10.1111/1467-9876.00242
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    Cited by:

    1. Y. Huang & M. S. Pepe, 2010. "Semiparametric methods for evaluating the covariate‐specific predictiveness of continuous markers in matched case–control studies," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(3), pages 437-456, May.
    2. Brady Ryan & Ananthika Nirmalkanna & Candemir Cigsar & Yildiz E. Yilmaz, 2023. "Evaluation of Designs and Estimation Methods Under Response-Dependent Two-Phase Sampling for Genetic Association Studies," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(2), pages 510-539, July.

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