Completeness of ascertainment by cancer registries: putting bounds on the number of missing cases
Author(s) -
P Silcocks,
David S. Robinson
Publication year - 2004
Publication title -
journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.916
H-Index - 82
eISSN - 1741-3850
pISSN - 1741-3842
DOI - 10.1093/pubmed/fdh140
Subject(s) - completeness (order theory) , statistics , computer science , cancer incidence , medicine , data mining , epidemiology , mathematics , pathology , mathematical analysis
When comparing cancer incidence or mortality rates between different regions, it is important to know how complete the registration data are on which these figures are based. A number of ways of estimating completeness have been proposed, but it is often difficult to say how precise these estimates are. We describe a computer program developed to produce measures of precision for estimates of completeness obtained by one such method, the flow method.
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