Objective: To determine the utility of monospot testing in the diagnosis of mononucleosis in the collegiate student-athlete clinical setting.
Design: Retrospective cohort study.
Setting: National Collegiate Athletic Association Division I sports medicine clinic.
Background: Prognosticating recovery times for individual athletes with a concussion remains a challenge for health care providers. Several preinjury and postinjury factors have been proposed to be predictive of prolonged return-to-play (RTP) times, but the data in this area are still sparse.
Purposes: This study aimed to identify risk factors associated with prolonged recovery times and determine which are most predictive of prolonged recovery times in a head-to-head comparison.
J Opt Soc Am A Opt Image Sci Vis
March 2014
A method for probability density function (PDF) estimation using Bayesian mixtures of weighted gamma distributions, called the Dirichlet process gamma mixture model (DP-GaMM), is presented and applied to the analysis of a laser beam in turbulence. The problem is cast in a Bayesian setting, with the mixture model itself treated as random process. A stick-breaking interpretation of the Dirichlet process is employed as the prior distribution over the random mixture model.
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