Hunting for Significance With the False Discovery Rate
Hunting for Significance With the False Discovery Rate is a scholarly work by Martin Posch, published in 2009 in ''Journal of the American Statistical Association''. The main subjects of the publication include alternative hypothesis, mathematics, econometrics, Bioimage informatics, type I and type II errors, contrast, temporary, sample size determination, test statistic, clinical trial, multiple comparisons problem, sample, null hypothesis, NULL, statistics, false discovery rate, statistical test, and microarray. When testing a single hypothesis, it is common knowledge that increasing the sample size after nonsignificant results and repeating the hypothesis test several times at unadjusted critical levels inflates the overall Type I error rate severely.