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Original Articles

A method for differentiating cancer prevalence according to health status, exemplified using a population-based sample of Italian colorectal cancer cases

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Pages 294-302 | Received 13 Aug 2012, Accepted 22 Oct 2012, Published online: 10 Dec 2012

Figures & data

Figure 1. Lexis diagrams illustrating the methods used to combine data from the cohort and period approaches to produce a fictitious cohort on which differentiated prevalence was estimated. (a) Illustration of cohort (ABCD) and period (EDWV) approaches; (b) Construction of fictitious cohort (ABXY) combining data from the cohort and period approaches; (c) Estimation of differentiated prevalence from fictitious cohort.

Figure 1. Lexis diagrams illustrating the methods used to combine data from the cohort and period approaches to produce a fictitious cohort on which differentiated prevalence was estimated. (a) Illustration of cohort (ABCD) and period (EDWV) approaches; (b) Construction of fictitious cohort (ABXY) combining data from the cohort and period approaches; (c) Estimation of differentiated prevalence from fictitious cohort.

Table I. Health status distribution of colon and rectal cancer cases collected for the period approach. All ages and both sexes.

Table IIa. Colon cancer: Health status distribution of fictitious cohort by each annual intervals. All ages, both sexes.

Table IIb. Rectal cancer: Health status distribution of fictitious cohort by each annual intervals. All ages, both sexes.

Table IIIa. Colon cancer: Health status distribution of fictitious cohort at 10th year after diagnosis for each interval (j,10). All ages, both sexes.

Table IIIb. Rectal cancer: Health status distribution of fictitious cohort at 10th year after diagnosis by each interval (j,10). All ages, both sexes.

Table IV. Ten-year differentiated prevalence estimates for colon and rectal cancer, by sex and age at end of follow-up.

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