the course spends a lot of time repeating the same concepts. i would be more convinced if they spend more time in explaining how to make the multiple regressions , how many variables i can add and what are the limitations and how to make a measure of fitness

Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization

I thank Professor McGready. He's enthusiastic and he really tries to make sure that you learn the materials. I really appreciated the fact that he uses several case studies from course 1 to this course so we can see how the material we learn is applied to the familiar fact pattern. The repetitive examples also reinforce learning. I just have a suggestion. From my perspective, and, I've taken many MOOC courses, the lecture-quiz approach works, but it can be enhanced by hands-on exercises via R or even spreadsheets. But, that was a minor point. In sum, thank you for the great specialization. I learned a lot.

This is a phenomenal course to follow through and gain an understanding of the role data plays in healthcare. Sometimes something very small in nature has a huge effect, and it was awesome learning how to articulate and prove that during this course.

Very helpful in your explanations verbally and visually. It really helped me understand how to read and understand the cox regression model.

This course is good but kindly add minitab or other software to analyse the regression model equation,so that software based learning is very much useful for researcher. Assignment questions give some software tool to analyse the regression submission .

Duplicated video in the logistic regression module. I've raised a concern request correction of the issue but no response, and now I've completed the course already.

i dont like statics

Great conceptual introduction to multiple linear and logistic regression. As it covers some more advanced topics, many of them rely heavily on "letting the computer do it," but this course will emphasize the concepts you need to understand in an output.

This course covers all types of Multiple Regressions. Instructor explained the complex topics in simple language. Relevant examples from clinical field and thorough explanation by the Instructor.

The course is well structured. The numerous examples and practice questions help the student apply the concepts learned. I love the fact that almost every question was from a real article.

The course was five stars, there were some quiz issues and a few numerical issues, but I learned a lot and appreciate the time and effort put into the content. Thank you!

Fantastic result. Mr McGrady is a fantastic teacher and explains difficult mathematical stuff in a simple and nice way. The course was very enjoyable!

Incredible way of teaching biostatistics using by just adding more complexity to the same exercises in a gradual form!

A wonderful look at multiple regression, including effect modification, interactions, and adjusted slopes.

A wonderful course with a wonderful instructor. I learned a lot!

Great instructor, really informative and engaging.

Learned a lot from this course! Thank you!

Dr McGready is the best.

curso espetacular!

Good topic

Very good

Excelente