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Materie / parole chiave: Software; Statistical software; Medicine; Statistical analysis; Covariate; Computer science; Software engineering; Operating system; Statistics; Mathematics; Machine learning

Abstract Summary: Heterogeneity and latent variables are now widely recognized as major sources of bias and variability in high-throughput experiments. The most well-known source of latent variation in genomic experiment...

This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and...

Summary The use of both linear and generalized linear mixed‐effects models ( LMM s and GLMM s) has become popular not only in social and medical sciences, but also in biological sciences, especially in the field of eco...

SUMMARY: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and...

The kappa statistic is frequently used to test interrater reliability. The importance of rater reliability lies in the fact that it represents the extent to which the data collected in the study are correct representatio...

These statements about the importance of effect sizes were made by two of the most influential statistician-researchers of the past half-century. Yet many submissions to Journal of Graduate Medical Education omit mention...

What is the predictive accuracy and effectiveness of algorithms designed for crime prevention purposes? Are they sufficiently transparent? Are there any inherent biases? This report presents an analysis of three algorith...

Materie / parole chiave: Nonparametric statistics; Mathematical statistics; Probabilities; Variables (Mathematics)

Materie / parole chiave: Mathematical statistics; Probabilities; Mathematics