Faced with a biased environmental test procedure, quantitative analysis and industry experience determine if a client should invest in additional testing to earn a designation as clean fill.
When a client faces a class action suit, a statistician creates a protocol, establishes key criteria and uses sampling to determine how many plaintiffs actually represent the class.
A+I’s analysis of an auditor’s estimate of alleged Medicare overcharging reveals bias in the form of faulty sampling and an inaccurate formula for calculating overcharges.
Identifying a critical statistical bias in the way the Department of Health & Human Services unfairly penalizes states for errors in determining Medicaid eligibility and payments.
A federal agency alleged that a state Blue Cross Blue Shield organization had benefited improperly from their dual role as administrator of federal Medicaid insurance and private health insurance provider.
A major manufacturer made product liability insurance claims covering millions of dollars in health claims arising from the use of its products.
When ABC unveiled "The Greatest American Hero" TV series the copyright owners of "Superman" concluded that the show's main character bore more than a coincidental resemblance to Superman.
The Commissioner of Human Resources for New York City was sued in a class action on behalf of aliens living in the city, who alleged unlawful denial of social services for which they were eligible.
We were asked: "How many members of a certified class in a class action is it necessary to sample in order to get a good estimate of total overtime hours due?"