Title | IntCens: Nonparametric maximum likelihood estimation for a broad class of semiparametric regression models with general interval-censored data (R). |
Publication Type | Software |
Year of Publication | 2016 |
Authors | Bunn, Paul, Donglin Zeng, and Dan-Yu Lin |
Abstract | Interval-censored data arise when the failure time of each study subject is only known to lie in an interval. |
Original Publication | IntCens: Nonparametric maximum likelihood estimation for a broad class of semiparametric regression models with general interval-censored data (R). |
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