Analyze count and rate outcomes (Poisson and negative binomial regression with person-time offsets), recurrent events (Andersen-Gill, PWP, and frailty models; mean cumulative function), time-to-event outcomes with competing risks (cause-specific hazards, Fine-Gray, Aalen-Johansen), and clustered data (mixed-effects models, GEE). Command of the methods this data demands: linking many related tables; count and rate outcomes with exposure offsets; recurrent-event and time-to-event methods including competing risks; clustered and repeated-measures data; confounding control in observational data; non-random missingness and informative censoring.