Sentence examples for statistical propensity from inspiring English sources

The brochure for one Equifax data product, called TargetPoint Predictive Triggers, advertises "advanced profiling techniques" to identify people who show a "statistical propensity to acquire new credit" within 90 days.

Accessing technology tools that help you measure the audience with the statistical propensity to deliver your message will give marketers the ability to change the game.

Our study used two statistical approaches, propensity score methods, and conventional regression methods, to compare clinical effectiveness and clinical toxicity associated with the studied five platinum-based doublets.

Our study did not use randomization as a method to control for selection bias, a general concern for cohort studies, but effectively used two widely used and theoretically sound statistical approaches: propensity scores (to adjust for measured confounders) and instrumental variables (to account for both measured and unmeasured confounders).

This is the first study of its type in Australia, and the first to use data linkage and sophisticated statistical techniques (propensity-score matching) to match 'cases' (people who have had TKA) to 'controls' (people who have not had TKA) who were otherwise similar.

Each model included statistical adjustment using propensity scores which contained variables associated with an increased propensity to receive vancomycin.

Statistical techniques like propensity score matching may also facilitate the identification of causal effects (e.g. Guo and Fraser 2014).

We compare TNC's protected forest sites with other land transactions not purchased for conservation but that share similar characteristics as inferred by the statistical technique of propensity score matching.

Inferential statistical analysis of propensity score analysis was performed by logistic regression.

However, this association missed the threshold for statistical significance in propensity score adjusted and marginal structural models.

These observations used robust statistical approaches including propensity analyses to insure that the groups being compared were similar at baseline.