This is the accepted version of the paper.This version of the publication may differ from the final published version. censoring to be present in the data. This type of filtering is omnipresent in biostatistical and demographical applications, where people can join a study, leave the study and perhaps join the study again. This paper provides a data application to aggregated national mortality data, where immigrations to and from the country correspond to respectively left truncation and right censoring. The estimation methodology is based on a recent class of local linear density estimators to which we develop a new stable bandwidth-selector, the do-validated estimator. Our aggregated mortality data study illustrates that our new practical density estimators provide us with an important extra element in our visual toolbox for understanding survival data.
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