Using Both Propensity Score Matching and Ranking Mechanism
STATinMED Research’s cutting edge algorithm uses both propensity score matching and raking techniques, creating patient-level weights adjusted for differences in demographic and socioeconomic factors as well as in health status. The NatWeight™ algorithm:
- adjusts for case mix differences to make a sample nationally representative
- adjusts outcomes (prevalence, cost, utilization) to enhance informed decisions from unbiased results
- combines the power of a large claims database, a convenience sample, with the representativeness of a probability sample