Chevron Left
Volver a Improving your statistical inferences

Opiniones y comentarios de aprendices correspondientes a Improving your statistical inferences por parte de Universidad Técnica de Eindhoven

745 calificaciones

Acerca del 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"...

Principales reseñas


13 de may. 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 feb. 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:

1 - 25 de 242 revisiones para Improving your statistical inferences

por Shan X

25 de jun. de 2018

por Daniel A L

25 de may. de 2019

por Bartek

30 de oct. de 2016

por Luis A

21 de ago. de 2017

por Stefan W

28 de dic. de 2016

por Alex G

26 de oct. de 2016

por Julien B

21 de jul. de 2019

por Pepe V C

1 de jun. de 2019

por Yonathan M P

8 de jun. de 2019

por Aicha M A N

12 de nov. de 2020

por Farhan N

21 de may. de 2018

por Benedikt L

22 de jun. de 2018

por Andreas K

15 de jul. de 2019

por Constantin Y P

17 de may. de 2017

por Wessel G

16 de ago. de 2022

por Nicholas J

23 de ene. de 2018

por Maxine S

3 de ene. de 2022

por Oviya M

18 de jul. de 2020

por Răzvan J

30 de may. de 2017

por Jason L

7 de dic. de 2018

por Helén L

17 de ago. de 2018

por Tyson W B

23 de feb. de 2018

por zuzana n

18 de sep. de 2020

por Oaní d S d C

16 de ago. de 2018

por Yoel S

15 de sep. de 2018