Joinpoint regression is a statistical method used to analyze changes in trends over time. In the context of epidemiology, it helps in identifying points where a significant change in the trend occurs. These points are known as "joinpoints." The method fits a series of joined line segments to the data, with each segment representing a distinct trend.
