scholarly journals Finasterid für Suizide bei jungen Männern verantwortlich?

pharma-kritik ◽  
2021 ◽  
Vol 42 (5) ◽  
Author(s):  
Etzel Gysling
Keyword(s):  

Junge Männer, die wegen einer Alopezie Finasterid einnehmen, scheinen gehäuft depressiv und Suizid-gefährdet zu sein. Unklar bleibt, ob Medienberichte zum sogen. Post-Finasterid-Syndrom einen «reporting bias» ausgelöst haben.

2019 ◽  
Author(s):  
Marie Herly ◽  
Nikolaj Kirkeby Niebuhr
Keyword(s):  

1989 ◽  
Vol 16 (2) ◽  
pp. 119-153 ◽  
Author(s):  
Sarah Auman Reed

This paper examines the magnitude of the reporting bias inherent in the historical cost accounting of a firm's physical capital. Reported depreciation data pertaining to U.S. Steel Corporation (currently USX) between 1939 and 1987 are compared with standardized historical cost figures and replacement cost estimates. The findings suggest that replacement cost depreciation would have provided more information about U.S. Steel's ability to maintain its productive capacity than historical cost depreciation did. Thus, this analysis provides an illustration of one of the primary arguments for replacement cost accounting.


1994 ◽  
Vol 13 (4) ◽  
pp. 303-310 ◽  
Author(s):  
Nicholas P. Spanos ◽  
Ewy Bures

Hypnotic, task-motivated and simulating subjects were administered a suggestion for a false memory (hearing noises) while “reliving” the events of an earlier night. Simulators reported the suggested noises more frequently than hypnotic subjects, and subjects in the three conditions failed to differ in endorsing the noises as real after termination of the “reliving” procedure. Subjects in the three conditions were also equally likely to reverse their pseudomemory reports following hidden observer instructions. These findings are consistent with the hypothesis that pseudomemory responding in this paradigm reflects reporting bias rather than memory distortion.


Biostatistics ◽  
2013 ◽  
Vol 15 (2) ◽  
pp. 370-383 ◽  
Author(s):  
J. Copas ◽  
K. Dwan ◽  
J. Kirkham ◽  
P. Williamson

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Kleber Neves ◽  
Olavo B Amaral

The pressure for every research article to tell a clear story often leads researchers in the life sciences to exclude experiments that 'did not work' when they write up their results. However, this practice can lead to reporting bias if the decisions about which experiments to exclude are taken after data have been collected and analyzed. Here we discuss how to balance clarity and thoroughness when reporting the results of research, and suggest that predefining the criteria for excluding experiments might help researchers to achieve this balance.


Sign in / Sign up

Export Citation Format

Share Document