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

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694 classificações
227 avaliações

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

MS
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.

PP
28 de Jun de 2020

Excellent explanations. Strong examples. Helpful exercises. Highly recommended for anyone who ever has to conduct inferential statistics or read anything that reports a p value or bayes factor.

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176 — 200 de 225 Avaliações para o Improving your statistical inferences

por Peter K

1 de Mar de 2019

Excellent course. I learned a lot about inference.

por CRISTIAN C L V

12 de Jun de 2020

Un excelente curso guiado por un muy buen maestro

por Miruš J

20 de Nov de 2020

The most useful statical course I took so far.

por Reuben A

17 de Abr de 2019

The best statistics course I have ever taken

por Leon W

26 de Nov de 2016

Great course, much appreciated. Thanks a lot

por Brendan P

21 de Out de 2017

Excellent content and delivery throughout.

por Siméon C

6 de Dez de 2020

It was just great ! Thank you very much !

por MASCIANTONIO

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!

por JUNAID A

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 Fev de 2021

Great content and lab document.

por Mark K

10 de Jul de 2020

This was an exceptional course!

por Pablo B

22 de Set de 2017

Enjoyable, useful, necessary.

por Oana S

27 de Dez 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 Dez de 2017

Very interesting course

por Alexander P

23 de Jul de 2017

Phenomenal course!

por Pedro V

19 de Dez de 2020

Very good course!

por Maria A T

16 de Jun de 2017

Excellent course.

por martin j k

6 de Nov de 2017

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