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Activity Number: 78 - Statistical Consulting Applications
Type: Contributed
Date/Time: Sunday, July 30, 2017 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistical Consulting
Abstract #324910
Title: Statistical Consulting: How Many Specimens Per Patient Should We Have for Improved Accuracy of Prosthetic Joint Infection?
Author(s): Jayawant Mandrekar*
Companies: Mayo Clinic
Keywords: Statistical Consulting ; Bayesian Latent Class Model ; Clinical Microbiology
Abstract:

As a statistical collaborator at a medical center, you often encounter interesting projects that use both novel clinical approaches and offer an opportunity to use innovative statistical methods. The focus of this presentation is to provide a brief overview of a project from clinical microbiology. Current study builds on the prior research work that used Bayesian latent class models for estimation of sensitivity and specificity due to imperfect gold standard. Goal of this study is to assess number of specimens for each patient required for accurate diagnosis of a prosthetic joint infection (PJI). Findings of this study have direct impact on cost savings, timely and accurate diagnosis of infection.


Authors who are presenting talks have a * after their name.

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