Tackling procurement fraud in health care
Analytics-based approaches in healthcare offer a new way of thinking about fraud. They are able to predict potential events.
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Compute and visualize binomial proportions in SAS
Computing rates and proportions is a common task in data analysis. When you are computing several proportions, it is helpful to visualize how the rates vary among subgroups of the population. Examples of proportions that depend on subgroups include: Mortality rates for various types of cancers Incarceration rates by race
The last mile – getting analytics into operations
The “last mile” is well known in telecommunications and supply chains. Now we face it in the analytical world as well. Read why!