SURVREG RECURRENT

The SURVREG RECURRENT command is available in the SPSS® Statistics Standard Edition or Advanced Edition.

SURVREG RECURRENT is a required command to invoke the parametric shared-frailty survival models procedure. The command must be followed by either one or two numeric variables which are treated as dependent variable(s). If a single variable is specified, the survival time will be represented by one variable to denote end time. If two variables are specified, variable1 and variable2 will denote the start time and the end time, respectively. The two variables variable1 and variable2 cannot be the same. The keyword BY is optional, which could be followed by the variable name(s) to be treated as factors. If specified, at least one variable name must be specified following it. For each factor specified, an optional value could be specified in a pair of single quotes within parentheses following the variable name to designate the custom last category. The user-supplied string values must be within a pair of single quotes but not for numeric values. If there are no cases taking on the value specified, the last occurring value would be used as the last category when the procedure internally encodes the factor. In the effect of TO and/or ALL used for the factor list, value specified in parentheses are not allowed. A variable specified following BY cannot be the same as the dependent variable(s). The keyword WITH is optional, which could be followed by the numeric variable name(s) to be treated as covariates. If specified, at least one variable name must be specified following it. A variable specified following WITH cannot be the same as the dependent variable(s). A variable cannot be specified by both BY and WITH. Note that at least one covariate or factor must be specified to run the procedure.

SURVREG RECURRENT {variable}{variable1 variable2}
[ BY factor1[('value')] factor2 [('value')] ... ]
[ WITH covariate_list ]

[ /CRITERIA
[ CLASSMISSING = {EXCLUDE∗∗}{INCLUDE} ]
[ CILEVEL = {95∗∗}{value} ]
[ SIG_LRT = {0.05∗∗}{value} ]
[ TREATMENT = {DISCARD∗∗}{DISCOVER} ]
]

/MODEL
[ covariate1[[value]] covariate2[[value]] ... factor1[[values]] factor2[[values]] ... ]
SUBJECT = {variable}
[ INTERVAL = {variable} ]
[ DISTRIBUTION = {WEIBULL∗∗}{EXPONENTIAL}{LOG_NORMAL}{LOG_LOGISTIC} ]
[ SIGMA = {SE∗∗}{INV_SE}{value} ]
[ INTERCEPT = {value} ]
[ FRAILTY = {GAMMA∗∗}{INV_GAUSSIAN} ]
[ VAR_FRAILTY = {1.0∗∗}{0.1**}{value} ]

[ /STATUS
VARIABLE = {variable}
[ FAILURE = {'F'∗∗}{'value1', 'value2' ... }{NULL}
{1∗∗}{value1, value2, ... , value3 THRU value4, value5 THRU value6, ... } ]
[ RIGHT = {'R'∗∗}{'value1','value2'... }{NULL}
{0∗∗}{value1, value2, ... , value3 THRU value4, value5 THRU value6, ... } ]
[ UNMAPPED = {F∗∗}{R}{EXCLUDE} ]
]

[ /ESTIMATION
[ SELECTFEATURES = {FALSE∗∗}{TRUE} ]
[ PENALTY = {0.001∗∗}{value} ]
[ ADMM = {FAST∗∗}{TRADITIONAL} ]
[ METHOD = {AUTO∗∗[(THRESHOLD = {1000∗∗}{integer})]}{NEWTON_RAPHSON}{L_BFGS}[(UPDATE = {5∗∗}{integer})]
[ MAXLINESEARCH = {20∗∗}{integer} ]
[ MAXITER = {20∗∗}{integer} ]
[ MAXSTEPHALVING = {5∗∗}{integer} ]
[ PCONVERGE = {0.000001∗∗}{value} [({ABSOLUTE∗∗}{RELATIVE})] ]
[ FCONVERGE = {0∗∗}{value}[({ABSOLUTE∗∗}{RELATIVE})] ]
[ HCONVERGE = {0∗∗}{value}[({ABSOLUTE∗∗}{RELATIVE})] ]
[ OPTIMIZE = {BOTH∗∗}{PRIMAL}{DUAL} ]
[ EPSILON_ABS = {0.0001∗∗}{value} ]
[ EPSILON_REL = {0.01∗∗}{value} ]
]

[ /PREDICT
[ FUTUREDURATION({variable}) ]
[ FUTUREINTERVALS(BETWEEN = {value} PERIODS = {integer}) ]
[ SURVIVAL[({PredSurvival∗∗}{var_name or root_name})] ]
[ HAZARD[({PredHazard∗∗}{var_name or root_name})] ]
[ CUMHAZARD[({PredCumHazard∗∗}{var_name or root_name})] ]
[ UNCONDSURVIVAL({PredUncondSurvival**}{var_name or root_name})] ]
[ UNCONDHAZARD({PredUncondHazard**}{var_name or root_name})] ]
[ UNCONDCUMHAZARD({PredUncondCumHazard**}{var_name or root_name})] ]
[ PASTTIME({variable}) ]
[ CONDITIONALSURVIVAL[({PredConditionalSurvival∗∗}{var_name or root_name})] ]
]

[ /PRINT
[ HISTORY[{1∗∗}{integer}] ]
[ ENCODING ]
[ INITIALS ]
]

[ /FUNCTIONPLOT
[ SURVIVAL ]
[ HAZARD ]
[ DENSITY ]
[ POINTS({100∗∗}{integer}) ]
[ PATTERN([covariate1=value] [covariate2=value] ... [factor1='value')] [factor2='value'] ...) ]
[ PLOTBY(variable) ]
[ MAX_CATEGORIES({10∗∗}{integer}) ]
]

[ /OUTFILE
{ MODEL = {‘directory/filename’} }
]