Logistic Regression and Prediction for Health Data
Completed by Chaitali Dey
July 30, 2024
11 hours (approximately)
Chaitali Dey'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: Logistic Regression
- Category: Statistical Methods
- Category: Statistical Hypothesis Testing
- Category: Regression Analysis
- Category: R Programming
- Category: Model Evaluation
- Category: Data Analysis
- Category: Statistical Inference
- Category: Statistical Modeling
- Category: Predictive Analytics
- Category: Statistical Analysis
- Category: Predictive Modeling
