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Welcome to bhangradoc’s page.
Contributor score: 21

Comments ...

 +17  (nbme22#26)
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Teh uP-eval is blyiaacsl yept 1 rrr,oe dan ehty ekpe eth ulpae-v hte aesm ta( 0)&l.5;t ni thbo vsiensor fo het exi.ermeptns By nanrsigeci burmne fo snipetta ni teh ro,ugp yhet isecrnea rpoew fo eht dsu,ty chwhi rcudese ptye II orerr.

jfny21  Thank you +1
baja_blast  For more, FA 2019 p. 262 goes over Type I and II errors. +

 +2  (nbme22#32)
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aSwcnhn s:cell tyhe ear pusspeod to rdgdeea iareusld meniyl hstahe igdnru hte uanelorn tnoen.eadegri tiWhotu atht gadeoneintre, I essgu you cnta’ e-iearnvnret pperrly.o Not tylotla reus.

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submitted by _pusheen_(6),
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oN chgnae in peyt 1 reror nda dsaceere ni yept 2 rore?r Cna enoosme peelsa lxienpa ?hyw

bhangradoc  The P-value is basically the type 1 error, and they keep the p-value the same (at <.05) in both versions of the experiments. By increasing number of patients in the group, they increase power of the study, which reduces type II error. +2