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Variations of parasite density were assessed by quantile regression using bootstrapping with 1000 repetitions.
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Individual heterogeneity in the returns to schooling: Instrumental variables quantile regression using twins data.
Quantile regression uses an L 1-loss function, and an optimal solution by means of linear programming.
Quantile regression uses all available data regardless of the quantile of interest, thereby providing overall estimates of association.
General practitioner questionnaires and register data on 12,558 patients were used to compare adjusted diagnostic interval across time by quantile regression.
The model is fitted to univariate inflow time series by quantile regression.
An alternative approach to robustness, and the focus of this paper, is provided by quantile regression.
Gene expression data were normalized by Quantile regression [ 21].
In men and premenopausal women reference limits were modeled by quantile regression.
The goal is therefore to estimate the conditional quantile function q ^ τ (x ) by quantile regression based on a training sample (y1, x1),..., (y n, x n ).
Single variable quantile regression was used to compare the median length of stay by visit type.
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