Using R language to do the question A recently developed drug, MediCo, has been used over the past 12 months to treat a potentially fatal disease. MediCo was approved by a medical regulator last year following initial trials and mortality data has been collected over the past 12 months, since approval, to continue reviewing the drug's effectiveness. This mortality data has been compared with mortality data collected from infected patients, prior to MediCo's approval, who were NOT administered the drug. It is suspected that gender may be a significant covariate on the mortality rate of infected patients. Data Life Drug Gender Status Time 85 67 10 283 0 0 0 0 0 0 0 06 58 108 9 160 23 Life Unique patient identifier (integers 1, 2, .., 4,400) Drug Drug indicator (1 = received drug, 0 = did not receive drug) Gender Gender indicator (1 = female, 0 = male) Status Status indicator (1 = death due to disease, 0 = censoring event occurred) Time Duration in days at which death/censoring occurred (integers with a range of 1-365, with 1 = first day of the investigation and 365 = last day of the investigation). e) Estimate a Cox proportional hazards model with death as the event of interest using the two covariates, drug, and gender, with no interaction term, pasting your results into your answer script. f) Comment on the results produced in part (e) with reference to the effects of the two covariates, drug and gender, on the mortality rate. g) Update the Cox proportional hazards model in part (e) to include an interaction term between drug and gender, pasting your results into your answer script. h) Analyse the effectiveness of MediCo, commenting on any differences between males and females