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10.12688/f1000research.8834.2 http://scihub22266oqcxt.onion/10.12688/f1000research.8834.2 C4902094!4902094 !27347382     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27347382 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27347382 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       F1000Res 2016 ; 5 (ä): 1129 Nephropedia Template TP {{tp|p=27347382 |t=2016. Multiple statistical tests: Lessons from a d20 |pdf=|usr=}}{{27347382 }} gab.com Text Multiple statistical tests: Lessons from a d20 JO: F1000Res http://www.kidney.de/pget.php?&tw=1&pmid=27347382 #FOAvip Statistical analyses are often conducted with ?= .05. When multiple statistical tests are conducted, this procedure needs to be adjusted to compensate for the otherwise inflated Type I error. In some instances in tabletop gaming, sometimes it is desired to roll a 20-sided die (or 'd20') twice and take the greater outcome. Here I draw from probability theory and the case of a d20, where the probability of obtaining any specific outcome is (1)/ 20, to determine the probability of obtaining a specific outcome (Type-I error) at least once across repeated, independent statistical tests. Twit Text FOAVip Multiple statistical tests: Lessons from a d20 ????F1000Res http://www.kidney.de/pget.php?&tw=1&pmid=27347382 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27347382 #FOAvip English Wikipedia <ref>{{Cite pmid|27347382 }}</ref> Multiple statistical tests: Lessons from a d20 #MMPMID27347382 Madan CR F1000Res 2016[]; 5 (ä): 1129 PMID27347382 show ga Statistical analyses are often conducted with ?= .05. When multiple statistical tests are conducted, this procedure needs to be adjusted to compensate for the otherwise inflated Type I error. In some instances in tabletop gaming, sometimes it is desired to roll a 20-sided die (or 'd20') twice and take the greater outcome. Here I draw from probability theory and the case of a d20, where the probability of obtaining any specific outcome is (1)/ 20, to determine the probability of obtaining a specific outcome (Type-I error) at least once across repeated, independent statistical tests. äMultiple statistical tests: Lessons from a d20 (epmc).pdf DeepDyve Pubget Overpricing