Multiple Regression Analysis in Public Health

Johns Hopkins University

health-informatics   |   Advanced   |   11 Hours

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.

What skills will you gain?

Confounding

odds

Regression Analysis

odds ratio

public health

linear regression

Regression

interaction (statistics)

Logistic Regression

Semi-Log Plot