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the strata. Strata variables should follow the same rules as groupvariables. Currently, SURVAN allows the log rank test to be run overstrata and Kaplan-Meier estimation can be performed separately forgroups by strata. Although there is a stratified version ofproportional hazards estimation, it is not yet included in Survan. Choice 3 allows the user to specify the compulsory variables.If any compulsory variable has a missing value in proportional hazardsor logistic regression, the case will not be included in theestimation. This feature allows differing models to be tested on thesame cases. Choice 4 allows the user to review the variable name list aswell as the variable definitions for the group, event, strata,compulsory, and logistic regression event variables. Choice 5 returns the user to the main menu. ===== End Commentary =====SURVAN environment: Variable list: SURV STATUS GROUP Number of variables = 3 Survival variable = SURV Event variable = STATUS Group variable = NOT DEFINED Strata variable = NOT DEFINED Compulsory variable = NOT DEFINED Logit event variable = NOT DEFINEDWant to: (1) enter/change group variable (2) enter/change strata variable (3) enter/change compulsory variables (4) view group, strata, compulsory variables (5) return to option list? 1Enter group variable name.(A '?' causes the list of names to be displayed.)groupWant to: (1) enter/change group variable (2) enter/change strata variable (3) enter/change compulsory variables (4) view group, strata, compulsory variables (5) return to option list? 5*** group,strata,compulsory variables set/reviewed/changed ***Press Return / Enter to continue:?Enter option number: (1) Print data (2) Define new survival variable (3) Define event for logistic regression model (4) Save current status to a file (5) Set/review/change group, strata, and compulsory variables (6) Define new print level for regressions (7) Compute frequencies (8) Compute condescriptive statistics (9) Run Kaplan-Meier estimation (10) Run log rank test (11) Run Gehan Breslow test (12) Run proportional hazards model estimation (13) Run logistic regression model estimation (14) End program? 6***** PRINT LEVEL DEFINITION *****Enter desired print level: (1) Print only log likelihood (2) Print log likelihood and coefficient estimates (3) Print log likelihood, coefficient estimates and variance-correlation matrix? 3*** Print level defined *** ===== Begin Commentary ===== Option 6 allows the user to specify how much information isprinted after a regression is performed. If this option is not invokedbefore a regression is performed, then option 3 is in effect. ===== End Commentary =====Press Return / Enter to continue:?Enter option number: (1) Print data (2) Define new survival variable (3) Define event for logistic regression model (4) Save current status to a file (5) Set/review/change group, strata, and compulsory variables (6) Define new print level for regressions (7) Compute frequencies (8) Compute condescriptive statistics (9) Run Kaplan-Meier estimation (10) Run log rank test (11) Run Gehan Breslow test (12) Run proportional hazards model estimation (13) Run logistic regression model estimation (14) End program? 7***** COMPUTE FREQUENCIES *****Enter the variable name on which to compute frequencies.(A '?' causes the list of names to be displayed.)group ***** Frequency Table ***** Variable: GROUP Relative Cum Absolute Freq Freq Value Freq (Pct) (Pct) 0.00000 19 47.5 47.5 1.00000 21 52.5 100.0Number of observations = 40Missing observations = 0*** Frequency table computed *** ===== Begin Commentary ===== Menu option 7 computes the frequency table for a specifiedvariable. ===== End Commentary =====Press Return / Enter to continue:?Enter option number: (1) Print data (2) Define new survival variable (3) Define event for logistic regression model (4) Save current status to a file (5) Set/review/change group, strata, and compulsory variables (6) Define new print level for regressions (7) Compute frequencies (8) Compute condescriptive statistics (9) Run Kaplan-Meier estimation (10) Run log rank test (11) Run Gehan Breslow test (12) Run proportional hazards model estimation (13) Run logistic regression model estimation (14) End program? 8***** COMPUTE CONDESCRIPTIVE STATISTICS *****Enter the variable name(s) on which to compute the condescriptive statistics.(A '?' causes the list of names to be displayed.)all ***** Condescriptive Statistics ***** Variable: SURV Mean 127.950 Variance 2150.82 Std dev 46.3769 Std err 1.18915 Minimum 42.0000 Maximum 244.000 Range 202.000 Number of observations = 40 Missing observations = 0 Variable: STATUS Mean 0.900000 Variance 0.923077E-01 Std dev 0.303822 Std err 0.779030E-02 Minimum 0.00000 Maximum 1.00000 Range 1.00000 Number of observations = 40 Missing observations = 0 Variable: GROUP Mean 0.525000 Variance 0.255769 Std dev 0.505736 Std err 0.129676E-01 Minimum 0.00000 Maximum 1.00000 Range 1.00000 Number of observations = 40 Missing observations = 0*** Condescriptive statistics computed *** ===== Begin Commentary ===== Menu option 8 prints the condescriptive statistics for thevariables specified. ===== End Commentary =====Press Return / Enter to continue:?Enter option number: (1) Print data (2) Define new survival variable (3) Define event for logistic regression model (4) Save current status to a file (5) Set/review/change group, strata, and compulsory variables (6) Define new print level for regressions (7) Compute frequencies (8) Compute condescriptive statistics (9) Run Kaplan-Meier estimation (10) Run log rank test (11) Run Gehan Breslow test (12) Run proportional hazards model estimation (13) Run logistic regression model estimation (14) End program? 9***** KAPLAN-MEIER ESTIMATION *****Enter the set of groups to be included in the analysis:(Terminate list with "END")0 1 end ===== Begin Commentary ===== A subset of groups can be specified by entering the values of thegroup variable as is done here. ALL can also be specified and is afrequent choice. ===== End Commentary =====Want to: (1) Analyze each group in the set, or (2) Analyze the set of groups as a whole? 2 ===== Begin Commentary ===== Kaplan Meier estimation can be performed on each group separatelyor on the subset of groups considered as a single data set. ===== End Commentary =====***** CONFIDENCE INTERVAL SPECIFICATIONS *****Want to compute the confidence interval for the proportionsurviving? (Y/N)? yEnter the desired confidence level:? .95Want to compute the confidence intervals over a range of quantiles,such as 25%, 50% and 75% where 50% is the median? (Y/N)? nDo you want the life table to be printed? (Y/N)? y***** Data Definitions *****Survival variable: SURV ,Event variable: STATUS ,Group variable: GROUP , GROUP 0, GROUP 1, ***** KAPLAN MEIER LIFE TABLE ***** The confidence interval for the proportion surviving computed, with the confidence level = 0.9500 Lower Upper Num Num Num Limit Cum Limit SD Time Censored Dead At risk of CI Surv of CI Surv 0.0000 0 0 40 1.0000 1.0000 1.0000 0.0000 42.000 0 1 40 0.8732 0.9750 0.9955 0.0247 43.000 0 1 39 0.8370 0.9500 0.9860 0.0345 56.000 0 1 38 0.8035 0.9250 0.9738 0.0416 63.000 0 1 37 0.7717 0.9000 0.9599 0.0474 64.000 0 1 36 0.7412 0.8750 0.9448 0.0523 88.000 0 2 35 0.6853 0.8250 0.9108 0.0601 90.000 0 1 33 0.6549 0.8000 0.8940 0.0632 92.000 0 1 32 0.6275 0.7750 0.8756 0.0660 98.000 0 1 31 0.6007 0.7500 0.8568 0.0685 104.00 1 0 30 0.5981 0.7500 0.8581 0.0685 105.00 0 1 29 0.5708 0.7241 0.8382 0.0708 106.00 0 1 28 0.5441 0.6983 0.8178 0.0729 109.00 0 1 27 0.5179 0.6724 0.7969 0.0746 113.00 0 1 26 0.4920 0.6466 0.7755 0.0761 116.00 1 1 25 0.4666 0.6207 0.7537 0.0773 120.00 0 1 23 0.4375 0.5937 0.7330 0.0785 127.00 0 1 22 0.4119 0.5667 0.7095 0.0795 130.00 0 1 21 0.3867 0.5397 0.6856 0.0801 132.00 0 2 20 0.3410 0.4858 0.6330 0.0807 133.00 0 4 18 0.2542 0.3778 0.5197 0.0788 134.00 0 1 14 0.2219 0.3508 0.5059 0.0776 139.00 0 1 13 0.2001 0.3238 0.4784 0.0762 140.00 0 1 12 0.1787 0.2969 0.4502 0.0745 144.00 1 0 11 0.1746 0.2969 0.4572 0.0745 146.00 0 1 10 0.1521 0.2672 0.4256 0.0727 161.00 0 1 9 0.1303 0.2375 0.3930 0.0704 165.00 0 1 8 0.1093 0.2078 0.3594 0.0676 180.00 0 2 7 0.0738 0.1484 0.2760 0.0599 196.00 0 2 5 0.0386 0.0891 0.1921 0.0485 204.00 0 1 3 0.0204 0.0594 0.1606 0.0404 223.00 0 1 2 0.0082 0.0297 0.1019 0.0291 244.00 1 0 1 0.0053 0.0297 0.1504 0.0291*** Kaplan-Meier analysis complete *** ===== Begin Commentary ===== Option 9 performs a Kaplan-Meier analysis of the data. ===== End Commentary =====Press Return / Enter to continue:?Enter option number: (1) Print data (2) Define new survival variable (3) Define event for logistic regression model (4) Save current status to a file (5) Set/review/change group, strata, and compulsory variables (6) Define new print level for regressions (7) Compute frequencies (8) Compute condescriptive statistics (9) Run Kaplan-Meier estimation (10) Run log rank test (11) Run Gehan Breslow test (12) Run proportional hazards model estimation (13) Run logistic regression model estimation (14) End program? 10
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