TWOSAMPLESURVIVAL <options>;
The TWOSAMPLESURVIVAL statement performs power and sample size analyses for comparing two survival curves. The log-rank, Gehan, and Tarone-Ware rank tests are supported.
Table 89.25 summarizes the options available in the TWOSAMPLESURVIVAL statement.
Table 89.25: TWOSAMPLESURVIVAL Statement Options
Option |
Description |
---|---|
Define analysis |
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Specifies the statistical analysis |
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Specify analysis information |
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Specifies the accrual time |
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Specifies the significance level |
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Specifies the follow-up time |
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Specifies the number of sides and the direction of the statistical test or confidence interval |
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Specifies the total time |
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Specify effects |
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Defines a survival curve |
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Specifies the median survival times in each group |
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Specifies exponential hazard rates of the survival curve for each group |
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Specifies the survival curve for each group |
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Specifies the hazard ratio |
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Specifies the exponential hazard rate of the survival curve for the reference group |
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Specifies the survival curve for the reference group |
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Specify loss information |
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Specifies the exponential loss survival curve for each group |
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Specifies the exponential hazards of the loss in each group |
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Specifies the median times of the loss in each group |
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Specify sample size and allocation |
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Specifies the common accrual rate per group |
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Specifies the total accrual rate |
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Specifies the expected total number of events |
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Specifies the accrual rate for each group |
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Specifies the two group sample sizes |
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Specifies the sample size allocation weights for the two groups |
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Enables fractional input and output for sample sizes |
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Specifies the common sample size per group |
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Specifies the sample size |
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Specify power |
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Specifies the desired power of the test |
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Specify computational method |
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Specifies the number of subintervals per unit time |
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Control ordering in output |
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Controls the output order of parameters |
Table 89.26 summarizes the valid result parameters for different analyses in the TWOSAMPLESURVIVAL statement.
Table 89.26: Summary of Result Parameters in the TWOSAMPLESURVIVAL Statement
To specify the survival curves, choose one of the following parameterizations:
arbitrary piecewise linear or exponential curves (by using the CURVE= and GROUPSURVIVAL= options)
curves with proportional hazards (by using the CURVE= , REFSURVIVAL= , and HAZARDRATIO= options)
exponential curves, by using one of the following parameterizations:
median survival times (by using the GROUPMEDSURVTIMES= option)
the hazard ratio and the hazard of the reference curve (by using the HAZARDRATIO= and REFSURVEXPHAZARD= options)
the individual hazards (by using the GROUPSURVEXPHAZARDS= option)
To specify the study time, use any two of the following three options:
accrual time (by using the ACCRUALTIME= option)
follow-up time (by using the FOLLOWUPTIME= option)
total time, the sum of accrual and follow-up times (by using the TOTALTIME= option)
To specify the sample size and allocation, choose one of the following parameterizations:
sample size per group in a balanced design (by using the NPERGROUP= option)
accrual rate per group in a balanced design (by using the ACCRUALRATEPERGROUP= option)
total sample size and allocation weights (by using the NTOTAL= and GROUPWEIGHTS= options)
total accrual rate and allocation weights (by using the ACCRUALRATETOTAL= and GROUPWEIGHTS= options)
expected total number of events and allocation weights (by using the EVENTSTOTAL= and GROUPWEIGHTS= options)
individual group sample sizes (by using the GROUPNS= option)
individual group accrual rates (by using the GROUPACCRUALRATES= option)
The values of parameters that involve expected number of events or accrual rate are converted internally to the analogous sample size parameterization (that is, the NPERGROUP= , NTOTAL= , or GROUPNS= option) for the purpose of sample size adjustments according to the presence or absence of the NFRACTIONAL option.
To specify the exponential loss curves, choose one of the following parameterizations:
a point on the loss curve of each group (by using the CURVE= and GROUPLOSS= options)
median loss times (by using the GROUPMEDLOSSTIMES= option)
the individual loss hazards (by using the GROUPLOSSEXPHAZARDS= option)
This section summarizes the syntax for the common analyses that are supported in the TWOSAMPLESURVIVAL statement.
You can use the NPERGROUP= option in a balanced design and specify piecewise linear or exponential survival curves by using the CURVE= and GROUPSURVIVAL= options, as in the following statements. Default values for the SIDES= , ALPHA= , NSUBINTERVAL= , and GROUPLOSSEXPHAZARDS= options specify a two-sided test with a significance level of 0.05, an assumption of no loss to follow-up, and the use of 12 subintervals per unit time in computations.
proc power; twosamplesurvival test=logrank curve("Control") = (1 2 3):(0.8 0.7 0.6) curve("Treatment") = (5):(.6) groupsurvival = "Control" | "Treatment" accrualtime = 2 followuptime = 1 npergroup = 50 power = .; run;
In the preceding example, the "Control" curve is piecewise linear (since it has more than one point), and the "Treatment" curve is exponential (since it has only one point).
You can also specify an unbalanced design by using the NTOTAL= and GROUPWEIGHTS= options and specify piecewise linear or exponential survival curves with proportional hazards by using the CURVE= , REFSURVIVAL= , and HAZARDRATIO= options:
proc power; twosamplesurvival test=logrank curve("Control") = (1 2 3):(0.8 0.7 0.6) refsurvival = "Control" hazardratio = 1.5 accrualtime = 2 followuptime = 1 groupweights = (1 2) ntotal = . power = 0.8; run;
Instead of computing sample size, you can compute the accrual rate by using the ACCRUALRATETOTAL= option:
proc power; twosamplesurvival test=logrank curve("Control") = (1 2 3):(0.8 0.7 0.6) refsurvival = "Control" hazardratio = 1.5 accrualtime = 2 followuptime = 1 groupweights = (1 2) accrualratetotal = . power = 0.8; run;
or the expected number of events by using the EVENTSTOTAL= option:
proc power; twosamplesurvival test=logrank curve("Control") = (1 2 3):(0.8 0.7 0.6) refsurvival = "Control" hazardratio = 1.5 accrualtime = 2 followuptime = 1 groupweights = (1 2) eventstotal = . power = 0.8; run;
You can also specify sample sizes with the GROUPNS= option and specify exponential survival curves in terms of median survival times:
proc power; twosamplesurvival test=logrank groupmedsurvtimes = (16 22) accrualtime = 6 totaltime = 18 groupns = 40 | 60 power = .; run;
You can also specify exponential survival curves in terms of the hazard ratio and reference hazard. The default value of the GROUPWEIGHTS= option specifies a balanced design.
proc power; twosamplesurvival test=logrank hazardratio = 1.2 refsurvexphazard = 0.7 accrualtime = 2 totaltime = 4 ntotal = 100 power = .; run;
You can also specify exponential survival curves in terms of the individual hazards, as in the following statements:
proc power; twosamplesurvival test=logrank groupsurvexphazards = 0.7 | 0.84 accrualtime = 2 totaltime = 4 ntotal = . power = 0.9; run;
In addition to the log-rank test, you can also specify the Gehan tank test, as in the following statements. Default values for the SIDES= , ALPHA= , NSUBINTERVAL= , and GROUPLOSSEXPHAZARDS= options specify a two-sided test with a significance level of 0.05, an assumption of no loss to follow-up, and the use of 12 subintervals per unit time in computations.
proc power; twosamplesurvival test=gehan groupmedsurvtimes = 5 | 7 accrualtime = 3 totaltime = 6 npergroup = . power = 0.8; run;
You can also specify the Tarone-Ware tank test, as in the following statements. Default values for the SIDES= , ALPHA= , NSUBINTERVAL= , and GROUPLOSSEXPHAZARDS= options specify a two-sided test with a significance level of 0.05, an assumption of no loss to follow-up, and the use of 12 subintervals per unit time in computations.
proc power; twosamplesurvival test=taroneware groupmedsurvtimes = 5 | 7 accrualtime = 3 totaltime = 6 npergroup = 100 power = .; run;