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<translate><!--T:80--> Before proceeeding, it could be appropriate to observe a very concrete and significant case.</translate>
 
<translate><!--T:80--> Before proceeeding, it could be appropriate to observe a very concrete and significant case.</translate>
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{{Bib}}
    
== Appendix==
 
== Appendix==
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In the appendix, there are some scientific articles essential for understanding the topic on which questions can be generated at the end of the update course
 
In the appendix, there are some scientific articles essential for understanding the topic on which questions can be generated at the end of the update course
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'''[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718515/ The Epistemological (Not Reproducibility) Crisis]'''
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==[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718515/ The Epistemological (Not Reproducibility) Crisis]==
    
John Park
 
John Park
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'''[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315482/#CR7P-values%20–%20a%20chronic%20conundrum P-values – a chronic conundrum]'''
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=[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315482/#CR7P-values%20–%20a%20chronic%20conundrum P-values – a chronic conundrum]=
    
Jian Gao
 
Jian Gao
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A long-overdue effort to understand p-values correctly is much needed. However, in medical research and practice, just banning significance testing and accepting uncertainty are not enough. Researchers, clinicians, and patients alike need to know the probability a treatment will or will not work. Thus, the calibrated p-values (the probability that a treatment does not work) should be reported in research papers.
 
A long-overdue effort to understand p-values correctly is much needed. However, in medical research and practice, just banning significance testing and accepting uncertainty are not enough. Researchers, clinicians, and patients alike need to know the probability a treatment will or will not work. Thus, the calibrated p-values (the probability that a treatment does not work) should be reported in research papers.
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{{Bib}}
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{{apm}}
 
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