This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles.
Offert par
Improving your statistical inferences
Université technique d'EindhovenÀ propos de ce cours
Compétences que vous acquerrez
- Likelihood Function
- Bayesian Statistics
- P-Value
- Statistical Inference
Offert par
Université technique d'Eindhoven
Eindhoven University of Technology (TU/e) is a young university, founded in 1956 by industry, local government and academia. Today, their spirit of collaboration is still at the heart of the university community. We foster an open culture where everyone feels free to exchange ideas and take initiatives.
Programme de cours : ce que vous apprendrez dans ce cours
Introduction + Frequentist Statistics
Likelihoods & Bayesian Statistics
Multiple Comparisons, Statistical Power, Pre-Registration
Effect Sizes
Avis
- 5 stars88,46 %
- 4 stars10,02 %
- 3 stars0,96 %
- 2 stars0,27 %
- 1 star0,27 %
Meilleurs avis pour IMPROVING YOUR STATISTICAL INFERENCES
This is a top-notch course. The ground (especially pitfalls) is very well covered, and useful free tools are engaged (R, G*Power, prof's own spreadsheets for calculating effect size).
Sooo good! Cant even begin to explain how essential and wonderful this understanding is! Great thanks to Dr Daniel! Such an expert in the field!\n\nThank you Dr!
Really enjoyed this course! The content was perfect to get my stats brain raring to go for my PhD, and now I can go in with a much better insight on interpreting my findings from the get go.
Hi! Thanks a ton for a spectacular course. I pick up new understanding every week here, and I actually look forward to going through the material each week. So great job!
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