In the last 20 years, social science research has increasingly focused on events that occur either over time or at defined intervals. The regression methods developed for the statistical analysis of these events are presented in this introductory textbook in a clear and application-oriented manner. A common feature of these methods is that they are designed for dependent variables that are not continuously normally distributed - which is more often the case with events. The linear combination of explanatory variables and estimated coefficients is transformed through specific link functions to predict the ultimately interesting explanatory quantities.