Modeling the natural history of ductal carcinoma in situ based on population data

HIGHLIGHTS

• who: Sarocha Chootipongchaivat from the Surveillance Modeling Network (CISNET): model D (Dana-Farber Cancer Institute) [23, ] and model E (Erasmus MC, University Medical Center Rotterdam) [25, ]Model D is an analytical model that estimates breast cancer incidence and mortality as a function of disease natural history, detection process, and treatment [23, ]. Details of IBC [24, ] and DCIS [23, ] modeling have been reported previously. DCIS natural history parameters were estimated using data from the Norwegian breast cancer screening program. Details of model D and estimation of model parameters can be found in Additional file, . Model E is a . . .
  

   

  

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