What are the Key Components of Joinpoint Regression?
Joinpoints: These are the points where the trend changes. The model determines the number and location of joinpoints that best describe the data. Segmented Trends: Each segment between joinpoints represents a different linear trend in the data. Annual Percent Change (APC): This measures the rate of change within each segment. Model Selection: The best model is chosen based on statistical criteria like the Bayesian Information Criterion (BIC).
