Several statistical methods are used to analyze binary outcomes, including:
- Logistic Regression: This is the most commonly used method for analyzing binary outcomes. It estimates the probability of an outcome occurring as a function of one or more predictor variables. - Chi-Square Test: This test is used to determine if there is a significant association between two categorical variables. - Fisherâs Exact Test: This is used when sample sizes are small, and it tests the significance of the association between two categorical variables. - Cox Proportional Hazards Model: While primarily used for time-to-event data, it can also accommodate binary outcomes in the context of survival analysis.