In scientific studies with low-prevalence outcomes, probability sampling may be supplemented by nonprobability sampling to boost the sample size of desired subpopulation while remaining representative to the entire study population. To utilize both probability and nonprobability samples appropriately, several methods have been proposed in the literature to generate pseudo-weights, including ad-hoc weights, inclusion probability adjusted weights, and propensity score adjusted weights. We empirically compare various weighting strategies via an extensive simulation study, where probability and nonprobability samples are combined.
View Article and Find Full Text PDFThe National Panel of Tobacco Consumer Studies (TCS Panel) is a probability-based panel of about 4,000 U.S. adult cigarette, cigar, and smokeless tobacco users developed by the U.
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