Logistic Regression and Prediction for Health Data
Completed by Theressa Ewa
August 8, 2024
11 hours (approximately)
Theressa Ewa'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: R Programming
- Category: Model Evaluation
- Category: Data Analysis
- Category: Regression Analysis
- Category: Descriptive Statistics
- Category: Predictive Modeling
- Category: Statistical Inference
- Category: Statistical Analysis
- Category: Statistical Modeling
- Category: Epidemiology
- Category: Probability & Statistics
