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Does Testing More Frequently Shorten the Time to Detect Disease Progression?
Author(s) -
Johannes Ledolter,
Randy H. Kardon
Publication year - 2017
Publication title -
translational vision science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.508
H-Index - 21
ISSN - 2164-2591
DOI - 10.1167/tvst.6.3.1
Subject(s) - autocorrelation , autoregressive model , context (archaeology) , computer science , statistical power , statistics , interval (graph theory) , change detection , econometrics , mathematics , artificial intelligence , geography , archaeology , combinatorics
New emerging technology for home monitoring of visual function will provide a means to monitor sensory status more frequently. The model proposed here takes into account how successive measurements are correlated, which impacts the number of measurements needed to detect a significant change in status.

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