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Understanding significance and p-values

机译:了解重要性和p值

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Correction 7th May 2016: p.523, Column 1, second paragraph, line 10 - 'the quantiles at the extremes - say 5%, 1%, which were useful' was changed TO 'the quantiles at the extremes - say 10%, 5%, 2%, and 1%, which were useful'.p.523, Column 2, second paragraph, line 3 - 'this is misconstrued with 'statistical significance' changed TO 'mistaken with 'statistical significance'.Since the p-value is a single index, following the ASA’s statement, we strongly support that it cannot and should not be considered as the sole basis for scientific reasoning. Given the misuses and misconceptions concerning p-values, the recommendation is to present the estimate of the effect, provide a measure of uncertainty of the estimation (e.g. confidence interval), and interpret the results in terms of scientific importance.
机译:更正2016年5月7日:第523页,第1栏,第二段,第10行-“极端的分位数-说5%,1%,这很有用”改为“极端的分位数-说10%, 5%,2%和1%有用''。第523页,第2栏,第二段,第3行-``这被误解为具有''统计意义'',已变为''误以为''具有统计学意义''。 -value是一个单一索引,遵循ASA的声明,我们强烈支持不能也不应将其视为科学推理的唯一基础。考虑到对p值的误用和误解,建议是提出影响的估计值,提供估计值不确定性的度量(例如置信区间),并以科学重要性来解释结果。

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