返回到 Simple Regression Analysis in Public Health

4.7

65 个评分

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8 个审阅

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....

Jul 27, 2019

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

Nov 05, 2019

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

筛选依据：

创建者 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.

创建者 Mohammed S U

•Jul 13, 2019

Excellent course -

创建者 Ulrick S K K

•Jul 27, 2019

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

创建者 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

创建者 Qianwen O

•Nov 05, 2019

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

创建者 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.

创建者 Karen U H

•Oct 19, 2019

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

创建者 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.