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  • Angelov, Angel G., et al. (author)
  • Quantile regression with interval-censored data in questionnaire-based studies
  • 2024
  • In: Computational statistics (Zeitschrift). - : Springer Berlin/Heidelberg. - 0943-4062 .- 1613-9658. ; 39:2, s. 583-603
  • Journal article (peer-reviewed)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.
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Angelov, Angel G. (1)
Ekström, Magnus, 196 ... (1)
Kriström, Bengt (1)
Puzon, Klarizze (1)
Arcenas, Agustin (1)
University
Umeå University (1)
Swedish University of Agricultural Sciences (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year
2024 (1)

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