The absence of evidence is not the evidence of absence: A case report on the challenges in diagnosing ostial left main stenosis

Author(s):  
Ayesha Shaik ◽  
Wassim Mosleh ◽  
Khagendra Dahal ◽  
Christopher Pickett ◽  
Michael Azrin
2007 ◽  
Vol 8 (3) ◽  
pp. 209-212
Author(s):  
William M. Suh ◽  
Steven J. Fowler ◽  
James B. Wallis ◽  
Morton J. Kern ◽  
Chowdhury H. Ahsan

Cardiology ◽  
1993 ◽  
Vol 82 (5) ◽  
pp. 343-346
Author(s):  
Reinhard Höltgen ◽  
Ruud Krijne ◽  
Karl-Wilhelm Heinrich ◽  
Hermann Sons ◽  
Arno Krian

1994 ◽  
Vol 50 (2) ◽  
pp. 147-148
Author(s):  
KV SURYANARAYANA ◽  
PC CHAMYAL ◽  
MR WAGHRAY

2021 ◽  
Vol 40 (8) ◽  
pp. 619-622
Author(s):  
Pedro Magro ◽  
Miguel Sousa-Uva
Keyword(s):  

Author(s):  
Alexander Ly ◽  
Eric-Jan Wagenmakers

AbstractThe “Full Bayesian Significance Test e-value”, henceforth FBST ev, has received increasing attention across a range of disciplines including psychology. We show that the FBST ev leads to four problems: (1) the FBST ev cannot quantify evidence in favor of a null hypothesis and therefore also cannot discriminate “evidence of absence” from “absence of evidence”; (2) the FBST ev is susceptible to sampling to a foregone conclusion; (3) the FBST ev violates the principle of predictive irrelevance, such that it is affected by data that are equally likely to occur under the null hypothesis and the alternative hypothesis; (4) the FBST ev suffers from the Jeffreys-Lindley paradox in that it does not include a correction for selection. These problems also plague the frequentist p-value. We conclude that although the FBST ev may be an improvement over the p-value, it does not provide a reasonable measure of evidence against the null hypothesis.


2017 ◽  
Vol 26 (145) ◽  
pp. 170033 ◽  
Author(s):  
Michele R. Schaeffer ◽  
Yannick Molgat-Seon ◽  
Christopher J. Ryerson ◽  
Jordan A. Guenette

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