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

4.9
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713 classificações
236 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.

VM

10 de jul de 2021

Solid course which taught me how to interpret p-values in a variety of contexts and taught me to not just to consider but (systematic and practical) ways of how to correct for publication bias.

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226 — 235 de 235 Avaliações para o Improving your statistical inferences

por Max R

29 de nov de 2019

It was nice. I initially hoped the course would have made some technical details intuitively graspable, but it was fine as it is.

por Mage I

20 de jun de 2018

The course was very useful, I enjoyed Daniel's advice. However, I wasn't able to make R work, so I couldn't do the exams.

por Sanne D

27 de mai de 2018

Questions are sometimes hard to understand if you are not a native speaker of the English language

por Leanne C

3 de jan de 2019

Very informative course, well taught and with lots of useful practice built into the assignments.

por Wong J K

27 de nov de 2020

Excellent course to better understand statistics

por Elías E

29 de jul de 2019

Very informative.

por Yao Y

27 de nov de 2016

The video is ok, but it lacks a lot of details in calculation. The assignment is very confusing because some questions refer to some 'previous' statement while fail to clarify which is related.

por Aicha M A N

12 de nov de 2020

Good afternoon, I have finished my course since 5th November and I didn't get my certificate yet.

por Emmanuel k A

21 de jun de 2019

I started just today and I'm beginning to love the course

por Dashakol

21 de set de 2018

I dropped the course at Lecture 1.2 when it was supposed to really teach me what is p-value but it failed. A 20 min video without telling much about p-value and also adding more confusion and unanswered questions at the end. Like what is p-value distribution?

I expected to receive a decent step by step tutorial on statistics starting from basics but it was just another convoluted stuff on statistics.