Statistics for Immunologists

2018 Current Protocols in Immunology  
Statistical tests and graphs are an important part of any immunological research publication or presentation, but not every immunologist has the statistical expertise to choose the best methods to evaluate and represent their experiments. These protocols provide a brief overview of the statistical methods most relevant to immunology researchers, so they can either analyze their own data or better understand their statistician collaborators. Protocols cover the basics of t-tests, ANOVA,
more » ... tric tests, linear and nonlinear regression models, categorical response models, statistical design of experiments and advanced methods like re-sampling tests, Bayesian statistics and methods for high throughput -omics data. Each topic receives a brief overview of the theory and usage, followed by brief instructions and code examples for R software. These protocols should be useful to biologists with any amount of statistical knowledge.
pmid:30400720 pmcid:PMC6223127 fatcat:thclghckjreldpbtduqufpixli