Exploring the distribution of injuries | - Poisson (mixed) model | - Negative Binomial model | - Zero-inflated Poisson model | - Zero-inflated Negative Binomial model | Model comparison

Starting point | 1) prepare and standardize injury and exposure data | 2) integrate both sources of data | The prepared data set, an injd object

Measures of occurrence | Rates | Injury incidence rate | Injury burden rate | Prevalence | In practice | - calc_summary() | - calc_prevalence() | Further implementation | Notes | References

Brief background | Methods for time to first injury | Kaplan-Meier curve | Cox PH model | Models for time to (subsequent) injuries | Stratified Cox PH model | Shared frailty model

A quick glance | Comparing injuries occurred in 17/18 vs. 18/19 | - Who were the most injured players? And the most severely affected? | - Which injuries were more frequent? And more burdensome? | - How many players were injured in each month?