Chevron Left
Voltar para Improving your statistical inferences

Comentários e feedback de alunos de Improving your statistical inferences da instituição Universidade Tecnológica de Eindhoven

745 classificações

Sobre o curso

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. In practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing and Bayesian statistics, and how to pre-register a study, and share your data on the Open Science Framework. All videos now have Chinese subtitles. More than 30.000 learners have enrolled so far! If you enjoyed this course, I can recommend following it up with me new course "Improving Your Statistical Questions"...

Melhores avaliações


13 de mai de 2021

Eye opening course. My first introduction to some of the issues surrounding p-values as well as how to better utilize them and what they truly represent. My first introduction to effect sizes as well.


23 de fev de 2020

Easy to follow, well structured, good references, empathy of presenter. I will recomend this to other friends who made Black Belt certification and still don't have clear what the Pvalue is for.

Filtrar por:

126 — 150 de 242 Avaliações para o Improving your statistical inferences

por Munzar A S

10 de abr de 2020

por Petr Č

14 de abr de 2022

por marcus n

4 de fev de 2017


13 de jul de 2022

por Maxim P

22 de mar de 2020

por Dennis H

4 de dez de 2018

por Katia D

11 de fev de 2018

por Ester N

24 de jan de 2022

por Cesar Y

25 de fev de 2019

por Bernhard E

2 de jan de 2021

por Agustin E C F

5 de nov de 2019

por Ezra H

19 de mai de 2020

por Maojie T

1 de jan de 2020

por Luke B

17 de jul de 2018

por Davide F S

21 de mai de 2017

por Yeison F V F

12 de dez de 2021

por Amy M

2 de nov de 2016

por Lydia A G

28 de mai de 2020

por Sandra V

10 de dez de 2016

por Fengyuan L

31 de jul de 2020

por Habiba A

29 de dez de 2016

por Thijs

14 de ago de 2019

por Rahul P S

21 de set de 2021

por Cezar D S d S

28 de mai de 2021

por Mr. J

24 de fev de 2020