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http://scihub22266oqcxt.onion/ C4692473!4692473!26719631     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Adv+Appl+Stat+Sci 2010 ; 1 (2): 191-213 Nephropedia Template TP {{tp|p=26719631|t=2010. Illustrations on Using the Distribution of a P-value in High Dimensional Data Analyses |pdf=|usr=}}{{26719631}} gab.com Text Illustrations on Using the Distribution of a P-value in High Dimensional Data Analyses JO: Adv Appl Stat Sci http://www.kidney.de/pget.php?&tw=1&pmid=26719631 #FOAvip Several statistical methods have recently been developed that use the distribution of P-values from multiple tests of hypotheses to analyze data from high-dimensional experiments. These methods are only as valid as the P-values that were derived from test statistics. If an incorrect distribution for a test statistic was used, the P-value will not be valid and the distribution of P-values from multiple test statistics could give misleading results. Moreover, if the correct distribution of a test statistic is used, a distribution of P-values may still give misleading results if P-values are correlated. A primary focus of this paper is on the distribution of a P-value under a null hypothesis, and the test statistic that is considered is the number of rejected null hypotheses. Two issues are demonstrated using six data examples, two that are simulated and four from actual microarray experiments. The results provide some insight into how much of an effect might be introduced into a distribution of P-values if invalid P-values are computed or if P-values are correlated. Additional illustration is given regarding the distribution of a P-value under an alternative hypothesis and some approaches to modeling it are presented. Twit Text FOAVip Illustrations on Using the Distribution of a P-value in High Dimensional Data Analyses ????Adv Appl Stat Sci http://www.kidney.de/pget.php?&tw=1&pmid=26719631 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26719631 #FOAvip English Wikipedia <ref>{{Cite pmid|26719631}}</ref> Illustrations on Using the Distribution of a P-value in High Dimensional Data Analyses #MMPMID26719631 Hu X; Gadbury GL; Xiang Q; Allison DB Adv Appl Stat Sci 2010[Feb]; 1 (2): 191-213 PMID26719631show ga Several statistical methods have recently been developed that use the distribution of P-values from multiple tests of hypotheses to analyze data from high-dimensional experiments. These methods are only as valid as the P-values that were derived from test statistics. If an incorrect distribution for a test statistic was used, the P-value will not be valid and the distribution of P-values from multiple test statistics could give misleading results. Moreover, if the correct distribution of a test statistic is used, a distribution of P-values may still give misleading results if P-values are correlated. A primary focus of this paper is on the distribution of a P-value under a null hypothesis, and the test statistic that is considered is the number of rejected null hypotheses. Two issues are demonstrated using six data examples, two that are simulated and four from actual microarray experiments. The results provide some insight into how much of an effect might be introduced into a distribution of P-values if invalid P-values are computed or if P-values are correlated. Additional illustration is given regarding the distribution of a P-value under an alternative hypothesis and some approaches to modeling it are presented. äIllustrations on Using the Distribution of a P-value in High Dimension(epmc).pdf DeepDyve Pubget Overpricing