WebThe FFS CAHPS researchers worked with RAND to identify 11,286 sample members more likely to prefer Spanish materials as identified by RAND’s Medicare Bayesian Improved Surname Geocoding model. Researchers randomly selected 7,000 sample members for the treatment group and the remaining 4,286 served as the control. WebBayesian Improved Surname and Geocoding (BISG) is a methodology developed by the RAND Corporation that can help U.S. organizations produce accurate, cost-effective estimates of racial and ethnic disparities within datasets—and illuminate areas for …

Full article: Using First Name Information to Improve Race and ...

WebDec 3, 2024 · To improve an existing method, Medicare Bayesian Improved Surname Geocoding (MBISG) 1.0 that augments the Centers for Medicare & Medicaid Services’ … WebThis report presents the results of imputing race and ethnicity for Marketplace enrollees from 2015 through 2024 using the modified Bayesian Improved First Name Surname and Geocoding (BIFSG) method, developed by the RAND Corporation, which uses surnames, first names, and residential addresses to indirectly estimate race and ethnicity. create your own super

Bayesian Improved Surname Geocoding (BISG) - rdrr.io

WebAug 25, 2015 · BISG and Other Proxies: What Is BISG and Why Proxies Matter to All Banks? BISG, which is the CFPBs newest method of determining race and ethnicity proxies, is the … WebNov 29, 2024 · This process was only recently improved via Bayesian improved surname geocoding (BISG). With surname and geographic-based demographic data, it is possible to more accurately estimate individual racial identification than ever before. However, the level of geography used in this process varies widely. WebMar 8, 2024 · Objective To improve an existing method, Medicare Bayesian Improved Surname Geocoding (MBISG) 1.0 that augments the Centers for Medicare & Medicaid Services’ (CMS) administrative measure of race ... do babies kick in the womb