Analysis of combined probability and nonprobability samples: A simulation evaluation and application to a teen smoking behavior survey.

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.

Associations of Impulsivity and Risky Decision-Making with E-Cigarette-Related Outcomes Among Adolescents with Congenital Heart Disease: Variable- and Person-Oriented Approaches.

Adolescents with congenital heart disease (CHD) have elevated risk for acquired cardiovascular complications, increasing their vulnerability to e-cigarette-related health harms. Impulsivity and risky decision-making have been associated with adolescent substance use, but the relationships between these factors and e-cigarette-related outcomes among cardiovascular at-risk adolescents with CHD are unknown. This cross-sectional study aimed to (a) determine the associations of impulsivity and risky decision-making with e-cigarette-related outcomes (i.

Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study.

Health warning labels have been found to increase awareness of the harmful effects of tobacco products. An eye tracking study was conducted to determine the optimal placement and type of a health warning label on tobacco waterpipes. Participants viewed images that contained one of (1) four waterpipes, (2) three different types of warning labels, (3) placed in three locations.