Linear regression with R

Linear regression with R The aim of this course is to teach you how to analyse your data using simple linear models. We focus on linear regression in order to improve your generic statistics knowledge. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András Aszódi. Topics […]

ANOVA with R

ANOVA with R Picture source: Fig.2 from Harp et al, eClinical Medicine Volume 39, September 2021, 101045 DOI: https://doi.org/10.1016/j.eclinm.2021.101045. The aim of this short course is to explain why we have to analyse variances if we want to compare group means using ANOVA techniques. This lecture is best taken with the Linear regression with R […]

Generalized linear models with R

Generalised linear models In our experiments we often count how many times something happened: how many mice died, how many people got infected by a pathogen etc. You need "counting statistics" techniques to analyse these data. This course teaches you one such technique, "generalised linear models" (GLMs). Please note that we cannot go into the […]

Nonlinear regression with R

Nonlinear regression with R The aim of this course is to teach you how to analyse your data if there are complicated relationships between the variables. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András Aszódi. Topics How to fit a PCR curve? Simple nonlinear regression. […]

Bayesian statistics with R

Bayesian Statistics with R "What is this 'Bayesian' thing? And why would I need to learn about it?" You should learn about the Bayesian approach because it fits very well the way we do science. We update our incomplete "prior" knowledge with experimental observations (the "evidence") to obtain a better understanding (the "posterior") of the […]

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