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#### Causal Analysis using R Interrupted Time Series

### Brief Overview of ITS
#  - Interrupted time series (ITS) is a quasi-experimental method used to evaluate the impact 
#    of an intervention by analyzing an outcome measured over time before and after the 
#    intervention occurs.
#  - The technique works by modeling changes in both the level and slope of the time series 
#    that follow the intervention, estimating both immediate and long-term effects.
# -  ITS is valuable when randomization is not feasible and can provide strong evidence 
#    for causal inference, but requires multiple data points on both sides of the intervention.