Regression models for interval censored data using parametric pseudo-observations

Regression models for interval censored data using parametric pseudo-observations

Abstract Background Time-to-event data that is subject to interval censoring is common in the practice of medical research and versatile statistical methods for estimating associations in such settings have been limited. For right censored data, non-parametric pseudo-observations have been proposed...

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Bibliographic Details
Main Authors: Martin Nygård Johansen, Søren Lundbye-Christensen, Jacob Moesgaard Larsen, Erik Thorlund Parner
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Medical Research Methodology
Subjects:
Pseudo-observations
Interval censoring
Flexible parametric model
Online Access:https://doi.org/10.1186/s12874-021-01227-8

Internet

https://doi.org/10.1186/s12874-021-01227-8

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