Complexity Simplified: The role of statistics in False Claims Act (FCA) litigation cases - Albert Lee, PhD & Alan Salzberg, PhD

1/21/20 12:28 PM

In this episode of Complexity Simplified, Summit’s founding partner Albert Lee, PhD, talks to statistician Alan Salzberg, PhD, about the role of statistics in False Claims Act (FCA) litigation cases.

They discuss what the FCA is and how expert statisticians and economists can leverage data to provide evidence of fraudulent behavior (or lack thereof) or to calculate damages.

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Topics: data analytics, Complexity Simplified (podcasts), Litigation Analytics

Notes from the Government Analytics Breakfast Forum: Using Analytics to Combat the Opioid Crisis

10/10/18 9:46 AM

Last week, Olivia Hebner and Laura Hoesly attended the Government Analytics Breakfast Forum: Using Analytics to Combat the Opioid Crisis sponsored by Johns Hopkins University and REI Systems. The speakers included Allison Oelschlaeger (Centers for Medicare and Medicaid Services), Dr. Mona Siddiqui (Health and Human Services), and Dr. Jim Kyung-Soo Liew (Johns Hopkins University). During the forum, speakers and audience members discussed data sources available to the federal government, challenges the government faces when analyzing the data, steps already taken, and possible methods for analyzing the data going forward.

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Topics: data analytics, administrative data, Litigation Analytics, opioids, data visualization, unstructured data, machine learning

Advantages of Tree-Based Modeling

8/21/18 3:42 PM

Tree-based modeling is an excellent alternative to linear regression analysis. But what makes it so advantageous? Tree-based models:

  • Can be used for any type of data, whether they are numerical (i.e. number calories in cereal) or categorical (i.e. manufacturer of cereal)
  • Can handle data that are not normally distributed (normal data are symmetric, bell-shaped, and centered at the mean; however, most data do not follow this type of distribution)
  • Are easy to represent visually, making a complex predictive model much easier to interpret
  • Require little data preparation because variable transformations are unnecessary

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Topics: Litigation Analytics, data visualization

Opioid Crisis at the State Level: What's the Cost?

7/17/18 2:03 PM

Since 2017, Summit has been closely monitoring the opioid litigation landscape, including multi-district litigation (MDL) through various outlets. For example, we are tracking more than 30 opioid cases in the state of West Virginia. Our team calculated the supply of opioids, opioid deaths, and the impact of the opioid epidemic on state budgets through the increase of total salaries in the heavily impacted professions.These professions include medical services, social services, and law enforcement services.

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Topics: Litigation Analytics, opioids, data visualization, unstructured data

Notes from the ASSA Annual Conference

1/31/18 12:48 PM

This blog post was written by Summit Analysts Bela Reeves and Katie Lettunich. 

During the first weekend in January 2018, Summit's Dr. Albert Lee, Dr. Eddie Seiler, Bela Reeves, and Katie Lettunich made their way to chilly Philadelphia for the Allied Social Science Association's (ASSA) Annual Conference Meeting. This conference, sponsored by the American Economic Association (AEA), drew over 10,000 economists from across the globe. Summit staff connected with other economic professionals who perform rigorous analysis in the fields such as structured finance and labor discrimination.

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Topics: Litigation Analytics

Strength In Numbers: Using Regression for Pay Equity Analyses

1/26/18 11:11 AM

In the next post of our blog series on how statistics can be useful in litigation cases, Dr. Shane Thompson discusses how regression can be a powerful tool in pay equity cases.

In our first post of this series, we discussed how evidence in the courtroom is becoming more and more quantitative. Correspondingly, statistical and regression models are vital tools for presenting evidence. In this post, we discuss the power and necessity of regression using a specific example: pay equity analysis.

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Topics: Litigation Analytics, strength in numbers

Finding Strength In Numbers

1/12/18 10:00 AM

In the first post of this blog series on how to use statistics in litigation cases, Dr. Albert Lee and Dr. Shane Thompson discuss finding strength in numbers. 

At a particularly critical juncture at the Nomura trial, Judge Denise Cote famously quipped “you know, some things don’t lie. There’s math [for example].”[1] This is emblematic of an era when evidence is quantitative and fairness means statistical parity. To be effective advocates in the court room, litigators are increasingly required to fashion their arguments in statistical terms. They must either affirmatively present relevant and compelling statistical evidence, or identify logical and methodological flaws of evidence in rebuttal. Correspondingly, statisticians and economists are becoming vital collaborators for legal counsel.

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Topics: Litigation Analytics, strength in numbers

About the Summit Blog

Complexity simplified.

Summit is a specialized analytics advisory firm that guides clients as they decode their most complex analytical challenges. Our blog highlights the strategies and techniques we use, as well as relevant topics in current events.

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