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Discovering the causes of cancer and the means of prevention

Prevalence Incidence Mixture Models

    The R package and webtool fits Prevalence Incidence Mixture models to left-censored and irregularly interval-censored time to event data that is commonly found in screening cohorts assembled from electronic health records.  Absolute and relative risk can be estimated for simple random sampling,  and stratified sampling (the two approaches of superpopulation and a finite population are supported for target populations).  Non-parametric (absolute risks only), semi-parametric, weakly-parametric (using B-splines), and some fully parametric (such as the logistic-Weibull) models are supported.


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