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Non-parametric maximum likelihood estimation for left-truncated interval censored data

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Methods for Left Truncated Interval-Censored Survival (LTIC) data

This package implements a fast product-limit algorithm to calculate the non-parametric maximum likelihood estimator for LTIC data. This also includes simulations and plots from the paper "A fast and stable NPMLE estimator for left-truncated and interval-censored data".

Installation

# install.packages("devtools")
devtools::install_github("ZacharyWaller/ltic")

MHCPS Data

The above paper applies these methods to the Massachusetts Health Care Panel dataset. This data is available from the supporting information from Pan and Chappell (2002), here.

Some changes need to be made to that data to make it make sense - there are some lines overlapping and lack of spaces between certain columns. Aside from the new lines changes, the other changes are shown in tests/mhcps.R.

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Non-parametric maximum likelihood estimation for left-truncated interval censored data

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