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A Displaced Poisson Process Applied To Screening For Breast Cancer En Stratified Samples With False Negatives

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  • D.B. Clarkson
  • D.B. Wolfson

Abstract

A displaced Poisson process model allowing for stratified populations and “false negatives” is presented for describing the progress of certain chronic diseases. This model, which builds on earlier work by the authors, allows for the simple estimation of various parameters and distributions of interest in screening. A Monte Carlo simulation study illustrating and partially verifying the model predictions is given.

Suggested Citation

  • D.B. Clarkson & D.B. Wolfson, 1985. "A Displaced Poisson Process Applied To Screening For Breast Cancer En Stratified Samples With False Negatives," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 39(4), pages 361-373, December.
    • Handle: RePEc:bla:stanee:v:39:y:1985:i:4:p:361-373
    DOI: 10.1111/j.1467-9574.1985.tb01155.x
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