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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

17 个评分
2 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, 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....



1 - Multiple Regression Analysis in Public Health 的 3 个评论(共 3 个)

创建者 Shady M S

May 25, 2019

the course spends a lot of time repeating the same concepts. i would be more convinced if they spend more time in explaining how to make the multiple regressions , how many variables i can add and what are the limitations and how to make a measure of fitness

创建者 Anurag M

Jan 21, 2019

Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization

创建者 Fred L

Jul 15, 2019

Great instructor, really informative and engaging.