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A review of cancer screening evaluation techniques, with some particular examples in breast cancer screening

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  • Jane Warwick
  • Stephen W. Duffy

Abstract

Summary. The instigation of mass screening for breast cancer has, over the last three decades, raised various statistical issues and led to the development of new statistical approaches. Initially, the design of screening trials was the main focus of research but, as the evidence in favour of population‐based screening programmes mounts, a variety of other applications have also been identified. These include administrative and quality control tasks, for monitoring routine screening services, as well as epidemiological modelling of incidence and mortality. We review the commonly used methods of cancer screening evaluation, highlight some current issues in breast screening and, using examples from randomized trials and established screening programmes, illustrate the role that statistical science has played in the development of clinical research in this field.

Suggested Citation

  • Jane Warwick & Stephen W. Duffy, 2005. "A review of cancer screening evaluation techniques, with some particular examples in breast cancer screening," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(4), pages 657-677, November.
    • Handle: RePEc:bla:jorssa:v:168:y:2005:i:4:p:657-677
    DOI: 10.1111/j.1467-985X.2005.00371.x
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    References listed on IDEAS

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    1. Tony H. H. Chen & H. S. Kuo & M. F. Yen & M. S. Lai & L. Tabar & S. W. Duffy, 2000. "Estimation of Sojourn Time in Chronic Disease Screening Without Data on Interval Cases," Biometrics, The International Biometric Society, vol. 56(1), pages 167-172, March.
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    Cited by:

    1. Lisa M. Maillart & Julie Simmons Ivy & Scott Ransom & Kathleen Diehl, 2008. "Assessing Dynamic Breast Cancer Screening Policies," Operations Research, INFORMS, vol. 56(6), pages 1411-1427, December.
    2. Sungwook Yoon & Duk Bin Jun & Sungho Park, 2020. "The effect of general health checks on healthcare utilization: accounting for self‐selection bias," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 3-36, January.

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