3. What is the difference-in-difference between the treatment and controls?

a. Was it statistically significant?

b. Answer in a couple of sentences and interpret the results.

Data Set subject Unique observation identifier treatment - 1=received the treatment; 0=did not receive the treatment time - 1=time 1 (pre-period, or baseline); 2=time 2 (post-period, or follow-up) SEX-1-patient was male; 0=patient was female AGE - age in years num chron: total number of chronic conditions urban_rural: 1=live in an urban area; 0=live in or non-urban (rural, or suburban) area unemp_rate: unemployment rate in the subject's zip code med_hh_income: median household income in the subject's zip code disease burden: general score of disease states at baseline - higher scores indicate higher illness burden IP_visits_pmpm: number of inpatient admissions IP_cost PMPM: medical costs associated with inpatient admissions IP_cost PMPM1: medical costs associated with inpatient admissions +$1.00 for cost analyses using log link and gamma distribution IP_visit_flag; 1=had at least 1 inpatient (IP) admission; 0=did not have an IP admission total_cost_pmpm: total medical costs total_cost_PMPM1: total medical costs associated with ER visits +$1.00 for cost analyses using log link and gamma distribution