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10.1371/journal.pone.0188299 http://scihub22266oqcxt.onion/10.1371/journal.pone.0188299 C5863943!5863943!29565985     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2018 ; 13 (3): ä Nephropedia Template TP {{tp|p=29565985|t=2018. Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses |pdf=|usr=}}{{29565985}} gab.com Text Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=29565985 #FOAvip Verifying that a statistically significant result is scientifically meaningful is not only good scientific practice, it is a natural way to control the Type I error rate. Here we introduce a novel extension of the p-value?a second-generation p-value (p?)?that formally accounts for scientific relevance and leverages this natural Type I Error control. The approach relies on a pre-specified interval null hypothesis that represents the collection of effect sizes that are scientifically uninteresting or are practically null. The second-generation p-value is the proportion of data-supported hypotheses that are also null hypotheses. As such, second-generation p-values indicate when the data are compatible with null hypotheses (p? = 1), or with alternative hypotheses (p? = 0), or when the data are inconclusive (0 < p? < 1). Moreover, second-generation p-values provide a proper scientific adjustment for multiple comparisons and reduce false discovery rates. This is an advance for environments rich in data, where traditional p-value adjustments are needlessly punitive. Second-generation p-values promote transparency, rigor and reproducibility of scientific results by a priori specifying which candidate hypotheses are practically meaningful and by providing a more reliable statistical summary of when the data are compatible with alternative or null hypotheses. Twit Text FOAVip Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=29565985 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29565985 #FOAvip English Wikipedia <ref>{{Cite pmid|29565985}}</ref> Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses #MMPMID29565985 Blume JD; D?Agostino McGowan L; Dupont WD; Greevy RA PLoS One 2018[]; 13 (3): ä PMID29565985show ga Verifying that a statistically significant result is scientifically meaningful is not only good scientific practice, it is a natural way to control the Type I error rate. Here we introduce a novel extension of the p-value?a second-generation p-value (p?)?that formally accounts for scientific relevance and leverages this natural Type I Error control. The approach relies on a pre-specified interval null hypothesis that represents the collection of effect sizes that are scientifically uninteresting or are practically null. The second-generation p-value is the proportion of data-supported hypotheses that are also null hypotheses. As such, second-generation p-values indicate when the data are compatible with null hypotheses (p? = 1), or with alternative hypotheses (p? = 0), or when the data are inconclusive (0 < p? < 1). Moreover, second-generation p-values provide a proper scientific adjustment for multiple comparisons and reduce false discovery rates. This is an advance for environments rich in data, where traditional p-value adjustments are needlessly punitive. Second-generation p-values promote transparency, rigor and reproducibility of scientific results by a priori specifying which candidate hypotheses are practically meaningful and by providing a more reliable statistical summary of when the data are compatible with alternative or null hypotheses. äSecond-generation p-values: Improved rigor, reproducibility, & transpa(epmc).pdf DeepDyve Pubget Overpricing