Test performance indicators

 
   Lead Investigator:    Hans Landsheer
   Institution      :    Utrecht University Dept. Methods and Statistics
   E-Mail           :    j.a.landsheer@uu.nl
   Proposal ID      :    1158


   Publications:


1  Landsheer JA
   Impact of the Prevalence of Cognitive Impairment on the Accuracy of the Montreal Cognitive Assessment: The Advantage of Using two MoCA Thresholds to Identify Error-prone Test Scores
   Journal Article  Alzheimer Dis Assoc Disord,epub ahead of print:doi: 10.1097/WA,2020,PMC in process

   PUBLISHED





   Proposal Description:
   To evaluate test performance indicators for distinguishing patients with and without the disease. I am developing statistical techniques to indicate the performance of tests. Currently, I am working on a promising, more sensitive, technique that allows to distinguish test performance of positive diagnoses from test performance of negative diagnosis. This could be relevant for the diagnosis of Alzheimer disease, as distinction of early stages of Alzheimer from normal aging problems is challenging