With recent advances in sequencing, genotyping arrays, and imputation, GWAS now aim to identify associations with rare and uncommon genetic variants. Here, we describe and evaluate a class of ...
This is a preview. Log in through your library . Abstract A nonparametric statistical test of the performance of ordinations is adapted and extended from the work of Feigin and Cohen (1978). Two ...
The Mann-Whitney U Test, also known as the Wilcoxon Rank Sum Test, is a non-parametric statistical test used to compare two samples or groups. The Mann-Whitney U Test assesses whether two sampled ...
Post-hoc testing is carried out after a statistical analysis where you have performed multiple significance tests, ‘post-hoc’ coming from the Latin “after this”. Post-hoc analysis represents a way to ...
The power of genome-wide association studies (GWAS) to detect genetic influences on human disease can be substantially increased using a statistical testing framework. Despite the proliferation of ...
Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Methods of measuring statistical test sensitivity (signal-to-noise ratio) were published by John Mandel in 1964 and incorporated into ASTM D6600 in 2000, mainly to provide a means of determining the ...