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

750 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.

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201 - 225 de 245 revisiones para Improving your statistical inferences

por Siméon C

6 de dic. de 2020

It was just great ! Thank you very much !


8 de jun. de 2020

This course is very useful! I recommend.

por Rossella M

25 de mar. de 2020

Really useful and interesting course!

por JOHN Q

4 de jun. de 2017

Interesting Course. Thanks so much!


29 de jun. de 2021

One of the best courses on Coursera.

por Eleonora N

17 de jul. de 2020

Just great. Very insightful course.

por Farid

12 de mar. de 2017

Exactly what i needed. But now it

por Maureen M

20 de mar. de 2019

The best MOOC in statistis ever!

por David S

15 de feb. de 2021

Great content and lab document.

por Mark K

10 de jul. de 2020

This was an exceptional course!

por Wenkai S

16 de feb. de 2022

Very informative and helpful!

por Pablo B

22 de sep. de 2017

Enjoyable, useful, necessary.

por Oana S

27 de dic. de 2016

Amazing learning experience

por Maheshwar G

6 de jun. de 2020

This is really impactful.

por Zahra A

28 de abr. de 2017

Extremely useful course!

por Biju S

5 de dic. de 2017

Very interesting course

por Alexander P

23 de jul. de 2017

Phenomenal course!

por Pedro V

19 de dic. de 2020

Very good course!

por Maria A T

16 de jun. de 2017

Excellent course.

por Martin K

6 de nov. de 2017

















por Françoise G

2 de ene. de 2021

Excellent cours

por Prabal P S B

14 de jul. de 2021

Amazing Course

por Sarah W

12 de feb. de 2020

Thanks Lakens

por Nareg K

30 de nov. de 2018

Great course!

por Michiel T

24 de jul. de 2018

Great course!