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Avis et commentaires pour d'étudiants pour Multiple Regression Analysis in Public Health par Université Johns-Hopkins

255 évaluations
56 avis

À propos du cours

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....

Meilleurs avis


25 juil. 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


23 avr. 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.

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51 - 56 sur 56 Avis pour Multiple Regression Analysis in Public Health


3 févr. 2021


par Jhumur S

29 mai 2020

Very good

par Jeshua R G

15 févr. 2020


par Afra A A

9 déc. 2021


par Ricardo D A

28 juin 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!

par Mauricio L

27 déc. 2021

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