Chevron Left
返回到 Multiple Regression Analysis in Public Health

学生对 约翰霍普金斯大学 提供的 Multiple Regression Analysis in Public Health 的评价和反馈

255 个评分


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....



Jul 25, 2020

lecture pattern gives enthusiasm in learning and solving quiz sessions. explanations for the solutions gives immense strength and confidence in learning. Excellant course and marvellous experience


Apr 23, 2020

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.


51 - Multiple Regression Analysis in Public Health 的 56 个评论(共 56 个)


Feb 3, 2021


创建者 Jhumur S

May 29, 2020

Very good

创建者 Jeshua R G

Feb 15, 2020


创建者 Afra A A

Dec 9, 2021


创建者 Ricardo D A

Jun 28, 2021

I​ just completed the Biostatistics specialisation, so I have posted these comments on all the courses:

What I most appreciated: D​r McGready is a fantastic lecturer, and I learned a tremendous amount from his lectures. I feel that you need to do all four courses to truly appreciate all the lessons.

W​hat I think will improve the courses: There are some mistakes in the quizzes and the answer sheets, and I think it is because Dr McGready used the lectures that he uses in his classes at JHU, but had to transcribe the quizzes into the Coursera format. I feel that the lectures would have had even greater value if we got to program some of the statistics and manipulate some of the data in R or SPSS.

O​verall, I really enjoyed the specialisation, and I certainly got what I was looking for. Thanks again for all your hard work!

创建者 Mauricio L

Dec 27, 2021

Buen curso, pero no aporta mucho (excepto las diferencias) sobre el curso anterior de regresiones simples. Mejorable.