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Quantile regression with interval-censored data in questionnaire-based studies
Angelov, Angel G., Ekström, Magnus, Puzon, Klarizze, Arcenas, Agustin, Kriström, Bengt
Computational statistics (Zeitschrift). 39(2):583-603
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| Title | Quantile regression with interval-censored data in questionnaire-based studies |
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| Authors | Angelov, Angel G., Ekström, Magnus, Puzon, Klarizze, Arcenas, Agustin, Kriström, Bengt |
| Source |
Computational statistics (Zeitschrift). 39(2):583-603
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| Description |
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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