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We showed that this general correlation isn’t helpful if the data is wrong, or missing, for individual facilities. Consumers are trained to rely on star ratings to help make decisions.
Missing data threaten the validity of many clinical trials. In this issue of the Journal, the members of an expert panel convened by the National Research Council (NRC) provide recommendations ...
Missing data have seriously compromised inferences from clinical trials. 1 For example, editorials in the Journal have noted how missing data have limited the ability to draw definitive ...
It is also quite common to have missing data on prognostic variables, such as missing estrogen receptor status, nodal status, or size of tumor in cancer studies; CD4 counts in AIDS studies; biomarker ...
How missing data makes it harder to measure racial bias in policing. ... Consider this real-life example. On July 10, 2015, Texas state trooper Brian Encinia pulled over Sandra Bland, ...
The most classic example of survivorship bias is still one of the easiest to understand: Abraham Wald and his analysis of U.S. aircraft during World War II. Wald, a notable mathematician, was ...
A sample of 100 articles was obtained using fairly broad inclusion criteria. Articles were included if they were published in 2002 within the seven non-review clinical cancer journals with the ...