excellent.

Excellent!

Very nice

good work

Amazing.

EXCELENT

V

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Thank you for your course. Teaching statistics to the ones (majority) who do not have maths background is incredibly hard and the works for teacher is humongous. Few flaws to highlight: some parts where a little bit too "simplistic" like for instance; sampling and frequency distribution , ANOVA Z and T tables. These parts I believe requires a little bit more insight in the nature of the maths behind it to grab a better understanding of it. I have to say I had to integrate your material with other you tube videos on the web to get a deeper sense of it. An introduction to ROC curve and Meta-analysis is something to consider for future courses

I have also noted a lack of reply to many questions written on the Forum.

But overall a very good course which delivers basic concept of statistics. I think I have improved the ability to better understand the methodology behind research and research manuscript.

I'm thankful for the fact that there is little mathematical detail about the statistics, which is indeed a good choice for anyone who just want to correctly "read" a clinical research. The knowledge of the last 3 weeks is, however, too concise. I would love know more about story/nature behind each test, or at least, some good material too read or listen to. But I think, the course is very well structured, lectures are short and clear, examples are interesting and practical.

Very useful course when you have very little background in statistics. You are taught the basic ideas behind the most commonly used statistical tests. The course really gives you a solid base to understand statistics described in scientific medical articles. Actually, after completing this course I felt confident enough to start doing basic statistical analyses on my own research data.

-Would highly recommend for anyone looking to quickly get a basis for evaluating statistics and logistics of medical literature. Notes sections after videos are an excellent supplement to the videos (which are not too long), and does a great job of hitting high points.

-If I could make 1 change I would expand the test section to explain more tests (logistic regression, etc.)

This is a good intro to bio-statistics course.

It has one of the most intuitive explanations of p-values and alphas.

Some of the explanations, like for sign and rank tests are confusing.

at times I wished there were more problems to do and reading material, but this is perfect for someone who doesn't want a very math heavy introduction to biostats.

It's a good course if you want a general overview of the statistics of clinical research. Personally I was hoping for a little more depth in some of the statistical methods. Some links or suggested readings on the methods would be great as we move along the course. Overall a delightful course. Everything is clearly explained. Thank you Dr. Koppler!

This is a true course of statistics for beginner especially tailored for health professional. I learn so many basic terms and concept behind the statistics. The 2 to 10 minutes videos combined with keynote are really helpful for understanding. However, I do wish there is similar course that use longer time to include more depth in all aspects.

have learn too much interesting concepts and perspective regarding interpreting the results of an statistical analysis, also knowing how to chose the perfect statistic tool for a given data set>>>>really enjoyed to have such course with that excellent explanation

Note:can you guys make a better presentation image to visualize hard concepts.

This is a very nice introductory course to clinical research with explanation about various research methodologies and statistical tests and which test to use in what scenario. It makes many concepts clear and lays a good foundation for pursuing further interests in the area of clinical research.

Overall okay, but touches each of the subjects only at the basics. Makes you unable to understand the different types of research and what tests/assessments to use for different kinds of data. Additional self study is required, as they will not go deep into the maths and actual calculation.

The course content was good but I wished for a little more hands on experience with the statistics. I particularly like the optional excel lessons and wish there were more of those. Perhaps add exercises in excel or other spreadsheet software to reinforce the learning?

Very good overview of the basics clinical study design and data analysis. I feel that sections 5 and 6 were dealt with a little cursorily with very brief mentions of the different types of statistical analyses. That's why I rated the course 4 stars instead of 5.

Great intro or review for healthcare workers. A little more info and more examples would have been appreciated for all the statistical tests in week 5. Paired t-test is not mentioned in the notes or videos and yet appears in a number of the quizzes.

Dr Klopper is clear in his explanations and has a good grasp of statistics. This course really summarizes the information on statistical tests, but helps introduce you to the terminology and overall meaning of medical studies.

Prof Juan Klopper was good with his explanations and provided examples for us to understand. This course truthfully taught the concepts involved in clinical research without having to memorize the mathematical formulas.

i found the course very helpful and informative and i t helps to critically read and interpret research papers. my only take on it is that there was no responses to questions that i asked the lecturer

If it were just a little longer it would work to count as the Clinical Research requirement for the the IBLCE exam. I learned a lot but that was the real reason I took the class!