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A four-stage probability sampling design was used for sample selection.
This research designs a method to correct for sample selection in a sample of recent movers.
J.-W.H., H.-F.Z., Y.C. and L.-D.S. participated in the design and were responsible for sample selection, genotyping and project management.
We illustrate our approach to adjusting for sample selection by analyzing the gender log wage gap for full-time workers in the Netherlands.
Based upon these observations, optimal methods for sample selection are proposed and a variety of techniques for age estimation are explored.
This four-stage method for sample selection may be an important methodological consideration for researchers attempting to use speleothems for stable isotope paleotempestology.
Weighted for sample selection and attrition.
Correcting for sample selection improves the fitting of the model, adding 14%% extra correct predictions.
Selection term Term constructed from the selection model that controls for sample selection bias.
We use linear multilevel models with random intercept and we account for sample selection.
There is also further need to control for sample selection bias and unobserved heterogeneity in such models.
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