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

4.7
étoiles
124 évaluations
20 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, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. 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 logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification....

Meilleurs avis

BV

Apr 24, 2020

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

MA

Jan 14, 2020

Really great course. Thank you for creating this. I'm an epidemiologist but haven't practiced biostatistics in years. This course series not only refreshed but also taught me new things.

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1 - 20 sur 20 Avis pour Simple Regression Analysis in Public Health

par Aïcha D D

Nov 05, 2019

This course is a little less clear than the first 2 courses of the specialization and there were a few technical problems (quizzes' answers and videos) and organisational issues. But the instructor remains very engaging and I enjoyed learning about the simple regression analysis.

par Anurag M

Jan 13, 2019

The Question and Answer section needs a few corrections, some incorrect answers are marked as correct. Simple linear regression analysis with continuous predictor is missing and the one for logistic regression in used its place.

par MD M H

Apr 12, 2020

I think, if the instructor showed how he computed the formulas, it would be great for the students. Most of the pictures are not clear.

par Chen M

Jan 31, 2020

I do need more clear definitions rather than examples.

par Amster F B

Apr 27, 2020

There are few corrections/confusions in the computation of some examples given. Nonetheless, the topics are very interesting, and the instructor is very engaging. There are many examples and i like how Mr McGready organized the topics and explained every important point.

par Cassandra N

Jul 27, 2019

Great course! The organization and explanations were a little confusing for this course and the exams compared to the others. Despite this, I learned a lot of useful information and appreciate the effort and organization dedicated to helping students learn the material.

par Bhalchandra V

Apr 24, 2020

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

par Muhammad F A

Jan 14, 2020

Really great course. Thank you for creating this. I'm an epidemiologist but haven't practiced biostatistics in years. This course series not only refreshed but also taught me new things.

par Sutopa T

Aug 28, 2019

I would like to thank the instructor. Sir, you have explained everything so well and clearly step by step. It has been very helpful

par Ricardo F

Mar 28, 2020

amazing course. I learned a lot with these topics, how about identify confounders in a clinical trial, and knew how to fix it

par Abigail B

Apr 18, 2020

Dives in depth into regression coefficients and intercept, how to interpret them, and how to evaluate significance.

par Abdi D O

Feb 28, 2020

Very informative and well delivered course with clear instructions and mind teasing quizzes.

par Ulrick S K K

Jul 27, 2019

Very practical course. The tutor makes complex concepts seem easy.

par Qianwen O

Nov 05, 2019

Good as always, hope to have more high level courses in future

par Avneesh A

Feb 27, 2020

Professor McGready is amazing and explains things very well

par Christos K

Apr 08, 2020

Fantastic course! Great work!

par Mohammed S U

Jul 13, 2019

Excellent course -

par Jeshua R G

Feb 16, 2020

Excelente

par Karen U H

Oct 19, 2019

The course content was great. However, there was some technical problems.