The course covers techniques in model based frequentist statistics exemplified by real applications from the biosciences. Topics covered are: Descriptive statistics, data types, comparison of two samples by parametric and non-parametric methods, analysis of tables of counts, regression analysis of categorical data, linear and multilinear regression, analysis of variance, usage of random effects, analysis of repeated measurements, design of experiments, post hoc testing, corrections for multiple testing, and reporting of results using the technology of estimated marginal means. The student is also introduced to practical techniques for analyzing data in the open source software package R using the RStudio interface.
The students are introduces to statistical models commonly used in the biosciences for univariate end-points. The statistical methodology is discussed with emphasis on how models are applied, and the students are trained to do the statistical analyses using the software package R.After course completion the students are expected to be able to:Knowledge:- Describe the elements of frequentist statistics including estimation, confidence intervals, hypothesis tests, model validation.- Describe the discussed data types.- Describe the assumptions behind the discussed statistical models.Skills:- Identify the data type in a particular dataset, and formulate an adequate statistical model.- Use R via the RStudio interface to perform the statistical analysis.Competences:- Formulate scientific questions in terms of statistical hypothesis.- Conduct statistical analysis using the discussed models.- Interpret the results of a statistical analysis.- Critically reflect over the results, conclusions and limitations of a statistical analysis.- Judge when to seek help from a skilled statistician.
R and RStudio is free and open source, and may be downloaded from the internet. As course book we will use
Martinussen, Skovgaard, Sørensen, "A first guide to statistical computations in R", Biofolia 2012, ISBN 978-87-913-1956-3.
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