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Johns Hopkins University

Multiple Regression Analysis in Public Health

Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.

状态:Statistical Methods
状态:Logistic Regression
初级课程小时

精选评论

SF

5.0评论日期:Mar 28, 2022

Excellent Course! Dr. McGready opened the doors of a whole new world to me with this specialization. Proud to have concluded it.

SG

5.0评论日期:Apr 21, 2023

Recommended for beginners in the field. Instructor John McGready presents the otherwise complex concepts of Biostatistics straightforwardly, with many examples and a perfect pace.

FN

5.0评论日期:Aug 1, 2019

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

BA

5.0评论日期:Oct 8, 2025

I found this course very informative and I wish I could take more courses with Dr. McGready

AA

5.0评论日期:Jun 20, 2020

Excellent Course. The video lectures are thorough and provide many examples to help explain the concepts. If this professor produces more courses, I will certainly take them.

RA

5.0评论日期:Apr 27, 2025

Amazing professor, amazing course. I have published an article which I have performed multiple regression myself it was an exceptional experience.

EL

5.0评论日期:May 21, 2021

Professor McGready is a passionate instructor who makes BioStats interesting and concrete through his real-world experiences and exercises. Another excellent class from Dr. John.

UK

5.0评论日期:Jul 29, 2019

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.

SS

5.0评论日期:Aug 1, 2022

It was a little hard course, but I have enjoyed learning these new materials. Thanks a lot to Coursera!

AB

5.0评论日期:Apr 21, 2020

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

MM

5.0评论日期:Jun 20, 2020

thank you everyone for give me a chance to learn more thing from this coursera courses

CN

5.0评论日期:Aug 30, 2019

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!

所有审阅

显示:20/68

Shady Mohamed Salem
3.0
评论日期:May 25, 2019
Linye Chen
3.0
评论日期:Sep 25, 2020
Asst.Prof, Mech Vel Tech, Chennai
3.0
评论日期:Apr 30, 2020
Ricardo De Almeida
4.0
评论日期:Jun 28, 2021
Albert Botrous
4.0
评论日期:Jul 11, 2020
Michael Kim
5.0
评论日期:May 8, 2020
Anurag Mehta
5.0
评论日期:Jan 21, 2019
Billy Chan
3.0
评论日期:Jul 24, 2019
Amn Amn
5.0
评论日期:Jul 29, 2021
Konstantin Gorelik
5.0
评论日期:Jan 1, 2020
Dr Kavitha Kannaiyan
5.0
评论日期:Jul 26, 2020
Bhalchandra Vaidya
5.0
评论日期:Apr 23, 2020
Justin Ching
5.0
评论日期:Nov 2, 2019
Elmira Amatahunova
4.0
评论日期:Sep 3, 2021
Bradley Atkinson
3.0
评论日期:Apr 10, 2020
Ingrid Soleil Hernández Caracún
5.0
评论日期:Jul 19, 2022
Miller Mac
5.0
评论日期:Nov 26, 2020
Jen Osiol
5.0
评论日期:Mar 31, 2020
John Rogard Tabori
5.0
评论日期:Aug 19, 2020
Sukanya
5.0
评论日期:Jul 28, 2020