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学生对 埃因霍温科技大学 提供的 Improving your statistical inferences 的评价和反馈

672 个评分
215 条评论


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"...


Mar 1, 2017

Excellent course. The lecturer has written code snippets that let the students visualize the meaning and interrelationship of p-values confidence-intervals power effect-size bayesian-inference.

Jun 28, 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.


151 - Improving your statistical inferences 的 175 个评论(共 214 个)

创建者 Rikki L

Apr 30, 2018

The course is excellent. I only wish that I'd enrolled sooner!

创建者 Rodney K

May 10, 2019

Very comprehensive and enjoyable course, highly recommended.

创建者 Xiwen O

Dec 26, 2017

Very great work to help people to listen this great courses!

创建者 sad d

Jan 18, 2017

One of the best Coursera courses! Daniel Lakens for the win!

创建者 Lim K Y

Aug 23, 2020

very informative and hands-on approach. thank you Dr Lakens

创建者 Florian W

Mar 14, 2020

Excellent course to get an overview of pratical statistics.

创建者 Md. M I C

Jan 3, 2017

It is good indeed. Such course is needed more on Coursera.

创建者 Tiago L

Aug 24, 2020

Magnific! Best statistics course I've ever seen anywhere.

创建者 Kıvanç K

Aug 20, 2020

Excellent lecture, every social scientist should take!

创建者 Shringi

Apr 24, 2020

A must take course for any advance statistics student.

创建者 Tomás d l R M

Nov 8, 2019

Amazing course! Very useful to researchers in any area

创建者 Heidi M

Dec 30, 2016

fun and very informative course - thank you very much!

创建者 Justyna J Z

Apr 29, 2018

Very engaging, I love the way this course is taught!

创建者 Jesús D Z M

Jun 12, 2017

very, very great course about inferential statistics

创建者 Bruno V

Feb 19, 2019

Thank you daniel, very educational, I learned a lot

创建者 Peter K

Mar 1, 2019

Excellent course. I learned a lot about inference.


Jun 12, 2020

Un excelente curso guiado por un muy buen maestro

创建者 Miruš J

Nov 20, 2020

The most useful statical course I took so far.

创建者 Reuben A

Apr 17, 2019

The best statistics course I have ever taken

创建者 Leon W

Nov 26, 2016

Great course, much appreciated. Thanks a lot

创建者 Brendan P

Oct 21, 2017

Excellent content and delivery throughout.

创建者 Siméon C

Dec 6, 2020

It was just great ! Thank you very much !


Jun 8, 2020

This course is very useful! I recommend.

创建者 Rossella M

Mar 25, 2020

Really useful and interesting course!

创建者 JOHN Q

Jun 4, 2017

Interesting Course. Thanks so much!