S. (2015) Statistical methods for associa- tion tests of multiple continuous traits in genome-wide association studies. Annals of Human Genetics, 79 (4), 282-293.B. Wu and J. S. Pankow, "Statistical Methods for Association Tests of Multiple Continuous Traits in Genome-Wide Associa- tion ...
The statistical tests for association between two gene reporter lists under consideration are based only on the gene lists submitted to e GOn, and the raw data underlying the statistical analyses producing the gene reporter lists are not submitted to e GOn. This means that e GOn does not offer...
Allelic association testChiano and Clayton testMultiallelic problemsThis chapter introduces a new approach for testing for allelic association by means of nonparametric permutation tests. The genetic configuration our statistical problem can be formalized by considering bivariate responses: (X 1, X 2) ...
Previous methods for network analysis mainly focused on correlation-based metrics to measure the strength of association between gene pairs in a network2,3,4. However, these methods, which only explore marginal correlations, cannot distinguish direct or indirect relationships between genes. Gaussian gra...
ggpiestats(), ggbarstats() Association between categorical variables ✅ ✅ ❌ ✅ ggpiestats(), ggbarstats() Equal proportions for categorical variable levels ✅ ✅ ❌ ✅ ggcoefstats() Regression model coefficients ✅ ✅ ✅ ✅ ggcoefstats() Random-effects meta-analysis ✅...
(FWER). The probability of at least one false-positive significant finding from a family of multiple tests when the null hypothesis is true for all the tests. C-alpha test A rare-variant association test based on the distribution of variants in cases and controls (that is, whether such a ...
L. (2007). A multitrait—multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs. Experimental Psychology, 54, 14–29. PubMed Google Scholar Perugini, M., O’Gorman, R., & Prestwich, A. (2007). An ontological test of the...
of direction, you'll want to use a two-tailed test. This is often the default choice in research when you want to ensure that your analysis captures any significant findings, whether they go in the expected direction or not. Here are examples of hypotheses suited for a two-tailed test: ...
The main complexity of modeling and interpreting such phenomena lies in the additional temporal dimension needed to express the association, as the risk ... Gasparrini,Antonio - 《Statistics in Medicine》 被引量: 175发表: 2014年 Log-Linear Models for Survey Data with Non-Ignorable Non-Response ...
Smile covers every aspect of machine learning, including classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, efficient nearest neighbor search, etc. The core algorithms are implemented in ...