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 ...

The books Lies, Damn Lies, and Statistics (Wheeler, 1976) and Damned Lies and Statistics (Best, 2001) have raised questions about whether statistics can be trusted. A number of educated people today, ...

Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.

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 ...

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 ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

What is the Friedman test? The Friedman test, also sometimes referred to as Friedman’s two-way analysis of variance by ranks, is a non-parametric statistical test used to investigate whether groups of ...

StatsDirect Version 1.9.8, CD-ROM and download software, requires Microsoft Windows 98/ME/NT/2000, minimum 486 processor, 16 MB of RAM, 64 MB recommended, 8 MB disk space, $160 $145, students $80 $72, ...

Given the highly infectious nature of the COVID pathogen, tests for the virus had to be quick, reliable and safe. The test ...

In this paper, we propose IP core of statistical test suite included in FIPS PUB 140-2 documentation which is published by NIST. This module can be used for self tests of encryption module. For ...