IBM SPSS COMPLEX SAMPLES 19

Complex Samples Cox Regression

varname_. Takesvalues P1, P2, ..., corresponding to an ordered list of all model parameters,

for row types COV or CORR, with value labels corresponding to the parameter strings shown

in the parameter estimates table. The cells are blank for other row types.

P1,P2, ... These variables correspond to anordered list of all model parameters, with variable

labels corresponding to the parameter strings shown in the parameterestimates table, and

take values according to the rowtype. For redundant parameters, all covariances are set

to zero; correlations are set to the system-missingvalue; all parameter estimates are set at

zero; and all standard errors, signiﬁcance levels, and residual degrees of freedom are set to

the system-missing value.

Note:Thisﬁleis not immediately usable for further analyses in other procedures that read a matrix

ﬁle unless those procedures acceptall the row types exported here.

Export survival function as SPSS Statistics data. Writesa dataset in SPSS Statistics format

containingthe survival function; standard error of the survival function; upper and lower bounds

of the conﬁdence interval of the survival function; andthe cumulative hazards function for each

failure or event time, evaluated at the baseline and at the predictor patterns speciﬁedon the Plot

tab. The order of variables in the matrix ﬁle is as follows.

Baselinestrata variable. Separate survival tables are produced for each value of the strata

variable.

Survivaltime variable. Theevent time; a separate case is created for each unique event time.

Sur_0,LCL_Sur_0, UCL_Sur_0. Baseline survival function and the upper and lower bounds

of its conﬁdence interval.

Sur_R,LCL_Sur_ R, UCL_Sur_R. Survival function evaluated at the “reference” pattern (see the

pattern valuestable in the output) and the upper and lower bounds of its conﬁdence interval.

Sur_#.#,LCL_Sur_#.#, UCL_Sur_#.#, … Survivalfunction evaluated at each of the predictor

patterns speciﬁed on the Plots tab and the upper and lower bounds of their conﬁdence

intervals. See the pattern values table in the output to match patterns with the number #.#.

Haz_0,LCL_Haz_0, UCL_Haz_0. Baselinecumulative hazard function and the upper and lower

bounds of its conﬁdence interval.

Haz_R,LCL_Haz_R, UCL_Haz_R. Cumulativehazard function evaluated at the “reference”

pattern (see the pattern values tablein the output) and the upper and lower bounds of its

conﬁdence interval.

Haz_#.#,LCL_Haz_#.#, UCL_Haz_#.#, … Cumulativehazard function evaluated at each of the

predictorpatterns speciﬁed on the Plots tab and the upper and lower bounds of their conﬁdence

intervals. See the pattern values table in the output to match patterns with the number #.#.

Exportm odel asXML. Saves al l information needed to predict the survival function, including

parameter estimates and the baseline survival function, in XML (PMML) format. You can use this

model ﬁle to apply the model information to other data ﬁles for scoring purposes.