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Chi-squared distribution, showing χ2 on the x -axis and p -value (right tail probability) on the y -axis. A chi-squared test (also chi-square or χ2 test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large. In simpler terms, this test is primarily used to examine whether two categorical ...
Testing deviation from the HWP is generally performed using Pearson's chi-squared test, using the observed genotype frequencies obtained from the data and the expected genotype frequencies obtained using the HWP. For systems where there are large numbers of alleles, this may result in data with many empty possible genotypes and low genotype ...
In genomics, a genome-wide association study ( GWA study, or GWAS ), is an observational study of a genome-wide set of genetic variants in different individuals to see if any variant is associated with a trait. GWA studies typically focus on associations between single-nucleotide polymorphisms (SNPs) and traits like major human diseases, but ...
The Pearson's chi-squared test statistic is defined as . The p-value of the test statistic is computed either numerically or by looking it up in a table. If the p-value is small enough (usually p < 0.05 by convention), then the null hypothesis is rejected, and we conclude that the observed data does not follow the multinomial distribution.
The Cochran–Armitage test for trend, [1] [2] named for William Cochran and Peter Armitage, is used in categorical data analysis when the aim is to assess for the presence of an association between a variable with two categories and an ordinal variable with k categories. It modifies the Pearson chi-squared test to incorporate a suspected ...
Pearson's chi-squared test. A hypothesis test using normal approximation for discrete data. Principal component analysis. The method of fitting a linear subspace to multivariate data by minimising the chi distances. The first introduction of the histogram is usually credited to Pearson. Awards from professional bodies
Linkage disequilibrium. In population genetics, linkage disequilibrium ( LD) is a measure of non-random association between segments of DNA ( alleles) at different positions on the chromosome ( loci) in a given population based on a comparison between the frequency at which two alleles are detected together at the same loci and the frequencies ...
Genomic control. Genomic control (GC) is a statistical method that is used to control for the confounding effects of population stratification in genetic association studies. The method was originally outlined by Bernie Devlin and Kathryn Roeder in a 1999 paper. [1] It involves using a set of anonymous genetic markers to estimate the effect of ...
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