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Complex Samples Cox Regression
iteration (the initial estimates), where n is the value of the increment. If the iteration history is
requested, then the l ast iteration is always displayed regardless of n.
Tie breaking method for parameter estimation. When there are tied observed failure times, one of
these methods is used to break the ties. The Efron method is more computationally expensive.
Survival Functions. These controls specify criteria for computations involving the survival function.
Method for estimating baseline survival functions. The Breslow (orNelson-Aalanorempirical)
method estimates the baseline cumulative hazard by a nondecreasing step function with
steps at the observed failure times, then computes the baseline survival by the relation
survival=exp(−cumulative hazard). The Efron method is more computationally expensive
and reduces to the Breslow method when there a re no ties. The product limit method
estimates the baseline survival by a non-increasing right continuous function; when there are
no predictors in the model, this method reduces to Kaplan-Meier estimation.
Confidence intervals of survival functions. The confidence interval can be calculated in three
ways: in original units, via a log transformation, or a log-minus-log transformation. Only the
log-minus-log transformation guarantees that the bounds of the confidence interval will lie
between 0 and 1, but the log transformation g enerally seems to perform “best.”
User Missing Values. All variables must have valid values for a case to be included in t he analysis.
These controls allow you to decide whether user-missing values are treated as valid among
categorical models (including factors, event, strata, and subpopulation variables) and sampling
design variables.
Confidence interval(%). This is the confidence interval level used for coefficient estimates,
exponentiated coefficient estimates, survival function estimates, and cumulative hazard function
estimates. Specify a value greater than or equal to 0, and less than 100.
CSCOXREG Command Additional Features
The command language also allows you to:
Perform custom hypothesis tests (using the CUSTOM subcommand and /PRINT LMATRIX).
Tolerance specification (using /CRITERIA SINGULAR).
General estimable function table (using /PRINT GEF).
Multiple predictor patterns (using multiple PATTERN subcommands).
Maximum number of saved variables when a rootname is specified (using the SAVE
subcommand). The dialog honors the CSCOXREG default of 25 variables.
See the Command Syntax Reference for complete syntax information.