Logistic Regression and Prediction for Health Data
Completed by Adam Copeland
December 20, 2023
11 hours (approximately)
Adam Copeland's account is verified. Coursera certifies their successful completion of Logistic Regression and Prediction for Health Data
What you will learn
Understand how binary outcomes arise and know the difference between prevalence, risk ratios, and odds ratios
Use logistic regression to estimate and interpret the association between one or more predictors and a binary outcome
Understand the principles for using logistic regression to make predictions and assessing the quality of those predictions
Skills you will gain
- Category: R Programming
- Category: Model Evaluation
- Category: Data Analysis
- Category: Logistic Regression
- Category: Statistical Modeling
- Category: Descriptive Statistics
- Category: Statistical Hypothesis Testing
- Category: Statistical Methods
- Category: Statistical Inference
- Category: Regression Analysis
- Category: Statistical Analysis
- Category: Epidemiology
