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A DISPLACED POISSON PROCESS APPLIED TO SCREENING FOR BREAST CANCER EN STRATIFIED SAMPLES WITH FALSE NEGATIVES *
Author(s) -
Clarkson D.B.,
Wolfson D.B.
Publication year - 1985
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1985.tb01155.x
Subject(s) - poisson distribution , monte carlo method , poisson process , mathematics , statistics , process (computing) , simple (philosophy) , breast cancer , computer science , cancer , medicine , philosophy , epistemology , operating system
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.