Ekström, Magnus
- Department of Forest Resource Management, Swedish University of Agricultural Sciences
- Umeå University
Research article2024Peer reviewedOpen access
Angelov, Angel G.; Ekstrom, Magnus; Puzon, Klarizze; Arcenas, Agustin; Kristrom, Bengt
Interval-censored data can arise in questionnaire-based studies when the respondent gives an answer in the form of an interval without having pre-specified ranges. Such data are called self-selected interval data. In this case, the assumption of independent censoring is not fulfilled, and therefore the ordinary methods for interval-censored data are not suitable. This paper explores a quantile regression model for self-selected interval data and suggests an estimator based on estimating equations. The consistency of the estimator is shown. Bootstrap procedures for constructing confidence intervals are considered. A simulation study indicates satisfactory performance of the proposed methods. An application to data concerning price estimates is presented.
Interval-censored data; Dependent censoring; Self-selected interval; Quantile regression; Estimating equation
Computational Statistics
2024, Volume: 39, number: 2, pages: 583–603 Publisher: SPRINGER HEIDELBERG
Probability Theory and Statistics
DOI: https://doi.org/10.1007/s00180-022-01308-2
https://res.slu.se/id/publ/120738