Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.3389/fpsyg.2017.00908 http://scihub22266oqcxt.onion/10.3389/fpsyg.2017.00908 C5465841!5465841!28649206     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       Front+Psychol 2017 ; 8 (ä): ä Nephropedia Template TP {{tp|p=28649206|t=2017. The Heuristic Value of p in Inductive Statistical Inference |pdf=|usr=}}{{28649206}} gab.com Text The Heuristic Value of p in Inductive Statistical Inference JO: Front Psychol http://www.kidney.de/pget.php?&tw=1&pmid=28649206 #FOAvip Many statistical methods yield the probability of the observed data ? or data more extreme ? under the assumption that a particular hypothesis is true. This probability is commonly known as ?the? p-value. (Null Hypothesis) Significance Testing ([NH]ST) is the most prominent of these methods. The p-value has been subjected to much speculation, analysis, and criticism. We explore how well the p-value predicts what researchers presumably seek: the probability of the hypothesis being true given the evidence, and the probability of reproducing significant results. We also explore the effect of sample size on inferential accuracy, bias, and error. In a series of simulation experiments, we find that the p-value performs quite well as a heuristic cue in inductive inference, although there are identifiable limits to its usefulness. We conclude that despite its general usefulness, the p-value cannot bear the full burden of inductive inference; it is but one of several heuristic cues available to the data analyst. Depending on the inferential challenge at hand, investigators may supplement their reports with effect size estimates, Bayes factors, or other suitable statistics, to communicate what they think the data say. Twit Text FOAVip The Heuristic Value of p in Inductive Statistical Inference ????Front Psychol http://www.kidney.de/pget.php?&tw=1&pmid=28649206 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28649206 #FOAvip English Wikipedia <ref>{{Cite pmid|28649206}}</ref> The Heuristic Value of p in Inductive Statistical Inference #MMPMID28649206 Krueger JI; Heck PR Front Psychol 2017[]; 8 (ä): ä PMID28649206show ga Many statistical methods yield the probability of the observed data ? or data more extreme ? under the assumption that a particular hypothesis is true. This probability is commonly known as ?the? p-value. (Null Hypothesis) Significance Testing ([NH]ST) is the most prominent of these methods. The p-value has been subjected to much speculation, analysis, and criticism. We explore how well the p-value predicts what researchers presumably seek: the probability of the hypothesis being true given the evidence, and the probability of reproducing significant results. We also explore the effect of sample size on inferential accuracy, bias, and error. In a series of simulation experiments, we find that the p-value performs quite well as a heuristic cue in inductive inference, although there are identifiable limits to its usefulness. We conclude that despite its general usefulness, the p-value cannot bear the full burden of inductive inference; it is but one of several heuristic cues available to the data analyst. Depending on the inferential challenge at hand, investigators may supplement their reports with effect size estimates, Bayes factors, or other suitable statistics, to communicate what they think the data say. äThe Heuristic Value of p in Inductive Statistical Inference (epmc).pdf DeepDyve Pubget Overpricing