1. |
- Angelov, Angel G., et al.
(författare)
-
Quantile regression with interval-censored data in questionnaire-based studies
- 2024
-
Ingår i: Computational statistics (Zeitschrift). - : Springer Berlin/Heidelberg. - 0943-4062 .- 1613-9658. ; 39:2, s. 583-603
-
Tidskriftsartikel (refereegranskat)abstract
- 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.
|
|