PhD basic courses in transferable skills


Statistics III: Regression analysis, Uppsala

The objective of the course is to give an overview of linear, nonlinear and nonparametric regression. On completion of the course, the student will be able to: • specify regression models including conditions and assumptions • select an appropriate regression model for a given problem • carry out a regression analysis in the statistical software R • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate results and conclusions

Statistics I or equivalent, i.e. knowledge of basic principles of hypothesis testing and confidence intervals. Admitted to a Ph.D. program at SLU. If you are not a Ph.D. student or not at SLU, contact to check the availability of places in the course.


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