Archives for Scrutinizing Sampling Analysis

Scrutinizing Sampling Analysis in Litigation and Audits; PART TWO

In compliance and litigation settings, we are routinely confronted by an opposing party alleging some form of inappropriate conduct. Disputes often arise involving overpayment allegations, audits of insurance claims, or purported false claims and any of these allegations may invoke sampling and extrapolation as the basis for such claims.  In those cases, an aptitude for evaluating and disputing statistical sampling is valuable.  This is the second of a two-part series addressing techniques for scrutinizing sampling analysis.

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Extrapolating Losses in Healthcare Fraud Sentencing: United States v. Melgen

Statistical sampling and extrapolation are routinely accepted as evidence to estimate damages, and established methodologies to design and implement valid sampling studies are well-known.  Yet the role and propriety of a given analysis in litigation continues to be hotly contested. The reasonableness of an extrapolated loss calculation was a significant sentencing issue in United States v. Solomon Melgen, Case No. 9:15-cr-80049, in the United States District Court for the Southern District of Florida … extrapolating losses in healthcare fraud sentencing

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Scrutinizing Sampling Analysis in Litigation and Audits; PART ONE

In compliance and litigation settings, we are routinely confronted by an opposing party alleging some form of inappropriate conduct. Disputes often arise involving overpayment allegations, audits of insurance claims, or purported false claims, and any of these allegations may invoke sampling and extrapolation as the basis for such claims.  In those cases, an aptitude for evaluating and arguing statistical sampling analysis is valuable.  This is the first of a two-part series addressing techniques for scrutinizing sampling analysis.  arguing statistical sampling

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Extrapolating Liability in FCA Cases | Decisions of Medical Necessity

There is considerable hesitancy in the healthcare industry to rely on statistical sampling for questions deemed subjective in nature, or when the sampling units in a population might be considered too unique.  This generally manifests when attempting to extrapolate liability in litigation, particularly in FCA matters.  For instance, conclusions about a patient’s medical eligibility and/or the medical necessity for hospice care have been disputed in recent years when sampling analysis was the basis for such conclusions.

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