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.
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Improving your statistical inferences
Universidade Tecnológica de EindhovenInformações sobre o curso
Habilidades que você terá
- Likelihood Function
- Bayesian Statistics
- P-Value
- Statistical Inference
oferecido por

Universidade Tecnológica de 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.
Programa - O que você aprenderá com este curso
Introduction + Frequentist Statistics
Likelihoods & Bayesian Statistics
Multiple Comparisons, Statistical Power, Pre-Registration
Effect Sizes
Avaliações
- 5 stars88,58%
- 4 stars9,91%
- 3 stars0,95%
- 2 stars0,27%
- 1 star0,27%
Principais avaliações do IMPROVING YOUR STATISTICAL INFERENCES
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!
Thank you Dr!
Excellent course. Must take for any students interested in doing scientific research, especially in the domain of the social sciences. Very interesting and informative.
Really nice course! begins from basics but gives you a deeper understanding of concepts. Plus the quizzes are open for auditing (as one expects from an open science advocate)!
Great course to dig a bit deeper into some very useful statistical concept. 4 starts as many of the contents are not "open" as the course preaches (see Microsoft Office documents or GPower).
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