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What you'll learn

Practice multiple regression methods to determine relationships between an outcome and multiple predictors

Use the Spline approach for non-linear relationships with continuous predictors

Perform calculations with multiple predictor variables

Skills you'll gain

Advanced Analytics

Public Health

Statistical Inference

Regression Analysis

Predictive Modeling

Statistical Methods

Biostatistics

Statistical Analysis

Data Analysis

Statistical Modeling

Probability & Statistics

There are 4 modules in this course

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.

Multiple Logistic Regression

Multiple Cox Regression

Course Project