Instead of using p < 0.05 to rule out no effect, she derives a p-value threshold for concluding a meaningful effect. Solve p=2[1−Φ(Z≤n/2δobs/σ)] for the observed effect corresponding to the observed p-value δobs=Zp/2σ2/n. Substitute into the lower (1−α)100% ...
E-mail: Lazzeroni@stanford.edu Received 21 August 2013; revised 13 October 2013; accepted 25 November 2013; published online 14 January 2014 access to raw data. These intervals can be computed using only the P-value and the relative sample size of the replication study to the sample size ...
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A ProbC threshold of 0.025 was used to reject the null hypothesis of no abnormal associations, while LD-PAC was run with the default parameters. Table 2 shows the type-I error rates and powers of our approach and LD-PAC. When no genotyping error was introduced, at most 5 and 2.5% of...
value. The calculation does not require a complicated algorithm and as it is easily incorporated into a computer program, there is no longer need to resort to asymptoticp-values. We illustrate the exact method in the context of two recently published analyses of the performance of classifiers ...
DEGs was identified using the DESeq2 R package, with a threshold set at |log2 FC|> 1.5, and significance determined by Benjamini–Hochberg method with adjusted p-value < 0.05. For survival analysis, the The Cox proportional hazards regression model was performed to evaluate the ...
The following parameters were applied: p value threshold for FDR filtering for amily wise error rate control, 0.05; FDR (Type II error) control method, fdr. Briefly, the read distribution along transcripts was computed as follow. For each gene, the longest isoform was selected as a reference....
We set our significance threshold at padjusted < 0.01 for most downstream analyses. At this level we would expect no more than 1% of our hits to be false-positives. We also considered the p-value sensitivity of the overall analysis by varying the threshold from 10-1 to 10-7 in log ...