(3) Survival Analysis Example: The numbers below represent the survival times in years for two groups with a rare disease. The values with (+) are censored. Use the values to answer the following questions. (Note: (You should know how to do the calculations in this problem manually but it's much easier in STATA or SAS. In STATA the relevant commands are under the \"sts\" header. You use \"sts set\" to tell STATA what your time and censoring variables are. You use \"sts graph, by(group)\" to get survival curves, separated by groups if you like. You use \"sts test time group, logrank\" to obtain the log rank test. I would never make the calculations this messy on the examil might simply give you the tables of calculations like the one on the class handout and ask you to explain how one of the values was computed...) Group 0: 133+, 2.21, 280+, 3.92. 544+, 9.99, 12.01, 12.07, 17.81, 28.65 Group 1: 0122+, 0.43, .64, 1.58, 2.02, 3.08, 3.62+, 4.33, 552+, 11.86 (a) Show how to nd the KaplanMeier estimates of the survival curves for these two groups and sketch the rst few values. Does it appear that one group does better than the other? (The complete curves are shown