Determining disease prevalence from incidence and survival using simulation techniques

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We present a new method for determining prevalence estimates together with estimates of their precision, from incidence and survival data using Monte-Carlo simulation techniques. The algorithm also provides for the incidence process to be marked with the values of subject level covariates, facilitating calculation of the distribution of these variables in prevalent cases.
Original languageEnglish
Pages (from-to)193-199
JournalCancer Epidemiology
Issue number2
Publication statusPublished - 18 Mar 2014

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