Chevron Left
Retour à Multiple Regression Analysis in Public Health

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

155 évaluations
34 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


Jul 26, 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 24, 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.

Filtrer par :

26 - 34 sur 34 Avis pour Multiple Regression Analysis in Public Health

par Muhammad F b M R

Jun 01, 2020

Learned a lot from this course! Thank you!

par Tehreem H

Jun 30, 2020

Amazing course! I learnt a lot.

par Emilyann L R

Oct 04, 2019

Dr McGready is the best.

par Ronei D d C

Dec 13, 2019

curso espetacular!

par Saw N

Aug 18, 2020

Great course


May 05, 2020

Good topic

par Jhumur S

May 29, 2020

Very good

par Jeshua R G

Feb 16, 2020


par Linye C

Sep 25, 2020

the course content is interesting and very informative. However, the lecturer's speech is not quite clear and it takes a great effort to understand his points. Moreover, there are always some mistakes in the quizzes. Not sure whether it is the problem with Coursera system or with the quiz content provided by the instructor. If the latter, it would be value-adding to correct those mistakes. If I have other options with similar content, I would not choose this course due to the quizzes.