By the Numbers: Tools for Using Statistics in PI and Malpractice Litigation


Many lawyers fear math. Statistics and medical literature does not have to be daunting. This program addresses how to interpret medical literature and use it effectively in litigation including how to approach scientific research studies with a basic understanding of research design and statistical analysis; how to identify and avoid evidentiary pitfalls; and how to intelligibly speak with experts about the literature they intend to use during their testimony. Lastly, this program includes a discussion about using ICD-10 billing codes as evidence of a physician’s custom and practice.


Topics Include:

  • Understanding research design, reliability and validity, and the basics of study terminology
  • Methods of interpreting data found in scientific literature, including descriptive and inferential statistics, standard deviation and standard error statistical significance
  • Being able to identify a quality research study from junk science
  • How to recognize the evidentiary issues with medical literature and navigate through them
  • Learning how to effectively use ICD-10 billing date from discovery to admissibility to show a practitioner’s habits for medical procedures.

Christian Jagusch, MD, JD (Chair) is a physician specializing in Emergency Medicine and an attorney with Walkup, Melodia, Kelly & Schoenberger. Following residency, he joined a prominent Southern California Emergency Medicine practice. Further pursing his interest in patient advocacy, Dr. Jagusch graduated from UC Hastings and joined the Walkup firm to focus on medical malpractice and complex medical causation.

Nicholas Hardy, Ph.D. is a neuroscience researcher at the University of California, San Francisco where he develops brain-machine interface technologies to treat patients with degenerative nerve disorders. Dr. Hardy has been performing neuroscience research for nine years. He received his Ph.D. in Neuroscience from UCLA in 2018, where he developed computational models of neural networks to understand their role in time perception.

Nathaniel Leeds, Esq. primarily focuses on medical malpractice cases since he crossed over to plaintiff’s practice seven years ago and has obtained numerous seven-figure settlements on behalf of his clients. As a former criminal prosecutor, Mr. Leeds tried 17 cases to verdict. With a background in computer modeling and statistics, Mr. Leeds found a niche for bootstrapping discoverable and publicly available data into liability. He has effectively utilized medical databases such as SEER to solve contested causation issues in cancer cases. He routinely incorporates medical literature to support his liability arguments.

Jeff Mitchell, Ph.D is principal at Mitchell Law Group in San Francisco. Since becoming a plaintiff’s lawyer, he has amassed record malpractice verdicts in three California counties, including achieving the largest verdict ($68 million PCV) in California history. He has been named Best Lawyers in America Medical Malpractice Lawyer of the Year three times. He also was awarded the SFTLA Trial Lawyer of the Year award.

Jamie Williams, Ph.D. is a biomedical and biomechanical engineer and is one of the foremost authorities in the field of forensic biomechanics and injury causation. Her current areas of research include pediatric traumatic brain injury and spinal cord injuries in motor vehicle collisions, and she is a certified Child Passenger Safety Technician. Her research has been published in top tier journals and presented internationally.


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Golden Gate University School of Law, Room 6208

 536 Mission Street
San Francisco

Cancellation Policy

No refunds will be made for cancellations, however, substitutes may attend in place for a registrant. Non-members substituting for members must pay difference in price.