返回到 Improving your statistical inferences

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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 02, 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.

Feb 22, 2018

Excellent course with a lot to learn. After 10 years in data analysis it provided me with great new insights and material to further improve my skills and understanding of data analysis

筛选依据：

创建者 Wilte Z

•Oct 23, 2016

Clear explanations of the concepts of statistics, without too much emphasis on the formulas. With handy references to online tools, like power calculators.

创建者 Iván Z A

•Feb 15, 2017

Wonderful course: very interesting, and very well explained. Also, the teacher is a very kind and helpful person (at least in Twitter ;-P). Thanks Daniël.

创建者 Ernesto M

•Jul 30, 2018

Excellent course that changed my views on interpreting p-values, confidence intervals, etc. and will surely make my statistical inferences much better.

创建者 Muhammad T S

•Nov 09, 2017

This is a very powerful course. Simple content but with lots of depth and newer perspective on statistical testing. Learned a lot. Highly recommended.

创建者 Moos L

•Nov 06, 2016

Excellent, may I say indispensable course for every social scientist out there to improve their statistical skills. Very coherent and comprehensive!

创建者 Nicholas

•Apr 28, 2019

Fantastic course on inference, difference between frequentist and Bayesian concepts like p-values, confidence and credible intervals, and validity.

创建者 Sanjeev P

•Nov 13, 2016

Fantastic, enjoyable, entertaining with a dash of humor. Highly recommended for non-statisticians interested in improving their grasp of the field.

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创建者 Sebastian U

•Mar 26, 2018

The course gave me useful insight into interpreting and handling statistical parameters. Information and methods were well balanced. Thank you.

创建者 Ted T

•Mar 29, 2020

Top quality course. Learnt a lot thanks to the very helpful and clear teaching. Put the equivalent course at my actual university to shame.

创建者 Michael E

•Jun 25, 2017

Thank you. This course represents a great deal of important work for me to continue to revisit and incorporate in my efforts moving forward.

创建者 Kathryn S

•Dec 10, 2017

I absolutely loved Prof Lakens' clarity! The effort he put into making the material and the assignments easy to understand is astounding.

创建者 侯静波

•Jun 13, 2018

very good course! The teaching style is good and the assignment in R is very helpful for me to understand the main ideas of this course.

创建者 Mathew L

•Jun 04, 2017

One of the best courses I've ever done. Fundamentally practical. I learned a great deal and challenged a lot of my implicit assumptions.

创建者 Jana H

•Mar 04, 2017

Wonderful course! It was really well-conceived and I learned a lot. Would definitely recommend it to everyone interested in statistics!

创建者 Romain R

•Jan 10, 2019

Great overview of statistics and philosophy of science. Now I know what to tell my students when they ask me about p-values. At last !

创建者 Munzar A S

•Apr 10, 2020

Fabulous course! Points out a lot of the nonsense going on in psychological research, how we can spot it, and how we can do better!

创建者 marcus n

•Feb 04, 2017

Great high level overview of intermediate applied statistics. The instructors presentation skills and pace are very good as well.

创建者 Maxim P

•Mar 22, 2020

Such a wonderful course, I really enjoyed the walkthrough. Also, I'd like to note the perfect English language of the lecturer.

创建者 Dennis H

•Dec 04, 2018

excellent refresher and expansion on frequentists stats (interpretation) and nice intro to bayesian stats. highly recommended.

创建者 Katia D

•Feb 11, 2018

Great course! Although I was struggling with lecture 2 (Bayesian Statistics)––It was very mathsy and a bit difficult to follow.

创建者 César A Y B

•Feb 26, 2019

Practico sin hacer a un lado lo teorico, te dan un marco mucho mas amplio para la interpretacion y planteamiento de hipotesis

创建者 Agustin E C F

•Nov 05, 2019

This is a great course!. It tackles common misbeliefs and approaches the topics both in a technical and coloquial manner.

创建者 Ezra H

•May 19, 2020

Very well structured. Every week covered a different important topic. Overall a useful course for empirical researchers.

创建者 唐茂杰

•Jan 01, 2020

I think it's a useful course for me, but I think some content in the last week is a little bit trivial for me...

创建者 John B

•Jul 17, 2018

very well organised course and deepens understanding. Excellent resources provided also, e.g. books and papers.