META BINARY

META BINARY is available in the Statistics Base Edition. The syntax represents the meta-analysis procedure for binary outcomes when the raw data are provided in the active dataset for the estimation of the effect size.

META BINARY

[ /CRITERIA
   [ SCOPE = {AVAILABLE**} {LISTWISE} ]
   [ CLASSMISSING = {EXCLUDE**} {INCLUDE} ]
   [ CILEVEL = {95**} {value} ]
   [ MAXITER = {100**} {integer} ]
   [ MAXSTEP = {5**} {integer} ]
   [ CONVERGENCE = {1E−6**} {value} ]
   [ DROP = {FALSE**} {TRUE}]
   [ ZEROCOUNTS = {ONLY**} {IFALL} {ALL} {KEEP} ]
   [ ADD = {0.5**} ]
]

/DATA
   TREATMENT = SUCCESS({variable}) FAILURE({variable})
   CONTROL = SUCCESS({variable}) FAILURE({variable})
   [ ESTYPE = {LOGOR**} {LOGPETO} {LOGRR} {RD} ]
   [ ID = {variable} ]
   [ STUDY = {variable} ]

[ /ANALYSIS
   [ SUBGROUP = {variable} ]
   [ CUMULATIVE = {variable}[ (SORT ={ASCENDING**} {DESCENDING}) ] ]
]

[ /INFERENCE
   [ MODEL = {RANDOM**} {FIXED[({INV_VAR**}{MANTEL_HAENSZEL})]} ]
   [ ESTIMATE = {REML**} {ML} {BAYES}
                {HEDGES} {HUNTER_SCHMIDT} {DERSIMONIAN_LAIRD} {SIDIK_JONKMAN}
   ]
   [ ADJUSTSE = {NONE**} {KNAPP_HARTUNG} {TRUNCATED_KNAPP_HARTUNG} ]
   ]

[ /CONTRAST
   [ VARIABLES = {variable_list} ]
   [ COEFFICIENTS = {values} ]
   [ EFORM = {FALSE**} {TRUE} ]
]

[ /BIAS
   TEST = [EGGER] [HARBORD] [PETERS]
   [ COVARIATES = {covariate_list} ]
   [ FACTORS = factor_list ]
   [ INTERCEPT = {INCLUDE**} {EXCLUDE} ]
   [ MULTIPLICATIVE = {FALSE**} {TRUE} ]
   [ DISTRIBUTION = {T**} {NORMAL}]
]

[ /TRIMFILL
   [ SIDE = {EGGER_SLOPE**} {LEFT} {RIGHT} ]
   [ METHOD = {LINEAR**} {RUN} {QUADRATIC} ]
   [ MODEL = {RANDOM**} {FIXED} ]
   [ ESTIMATE = {REML**} {ML} {BAYES}
                {HEDGES} {HUNTER_SCHMIDT} {DERSIMONIAN_LAIRD} {SIDIK_JONKMAN} ]
   [ ADJUSTSE = {NONE**} {KNAPP_HARTUNG} {TRUNCATED_KNAPP_HARTUNG} ]
]

[ /PRINT
   [ HOMOGENEITY] [ HETEROGENEITY ] [ INDIVIDUAL ] [ CUMULATIVE ] [ PREDICTION ]
   [ EFORM({FALSE**} {TRUE}) ]
]

[ /SAVE
   [ ES[(var_name)] [ ES_EXP[(var_name)] ] [ SE_ES[(var_name)] ] 
   [ CIL_ES[(var_name)] [ CIL_ES_EXP[(var_name)] ] 
   [ CIU_ES[(var_name)] [ CIU_ES_EXP[(var_name)] ]
   [ PVAL_ES[(var_name)] ] [ WEIGHT[(var_name)] ] [ WEIGHT_PCT[(var_name)] ]
]

[ /OUTFILE
   CUMSTATS({'savfile'} {dataset})
   [ CUMES[(var_name)] ] [ CUMES_EXP[(var_name)] ] [ SE_CUMES[(var_name)] ]\
   [ CIL_CUMES[(var_name)] ] [ CIL_CUMES_EXP[(var_name)] ]
   [ CIU_CUMES[(var_name)] ] [ CIU_CUMES_EXP[(var_name)] ]
   [ PVAL_CUMES[(var_name)] ]
]

[ /FORESTPLOT
   [ DISPLAY = {[ES] [SE] [CI] [WEIGHT] [PVAL]} ]
   [ EFORM = {FALSE**} {TRUE} ]
   [ ADDCOLS = {variable_list} ]
   [ POSITION = {RIGHT**} {LEFT} ]
   [ SORT = {variable}[({ASCENDING**} {DESCENDING})] ]
   [ REFLINES = {[OVERALL] [NULL]} ]
   [ ANNOTATIONS = {[HOMOGENEITY] [HETEROGENEITY] [TEST]} ]
   [ CROP = {value1 value2} ]
]

[ /CUMFORESTPLOT
   [ DISPLAY = {[ES] [SE] [CI] [PVAL]} ]
   [ EFORM = {FALSE**} {TRUE} ]
   [ ADDCOLS = {variable_list} ]
   [ POSITION = {RIGHT**} {LEFT} ]
   [ CROP = {value1 value2} ]
]

[ /BUBBLEPLOT
   PREDICTORS = {variable_list}
   [ CENTER = {FALSE**} {TRUE} ]
   [ PROPORTION = {TRUE**} {FALSE} ]
   [ FITLINE = {TRUE**} {FALSE} ]
   [ CI = {TRUE**} {FALSE} ]
   [ LABEL = {variable}[({AUTO**} {RIGHT} {LEFT} {UPPER} {BOTTOM})] ]
   [ YRANGE = {value1 value2} ]
   [ XRANGE = {value1 value2} ]
]

[ /FUNNELPLOT
   [ IMPUTE = {FALSE**} {TRUE[(REFLINE)]} ]
   [ YAXIS = {SE**} {INV_SE} {VAR} {INV_VAR} ]
   [ LABEL = {variable}[({AUTO**} {RIGHT} {LEFT} {UPPER} {BOTTOM})] ]
   [ YRANGE = {value1 value2} ]
   [ XRANGE = {value1 value2} ]
]

[ /GALBRAITHPLOT
   [ CI = {TRUE**} {FALSE} ]
   [ LABEL = {variable}[({AUTO**} {RIGHT} {LEFT} {UPPER} {BOTTOM})] ]
   [ YRANGE = {value1 value2} ]
   [ XRANGE = {value1 value2} ]
]

[ /LABBEPLOT
   [ PROPORTION = {TRUE**} {FALSE} ]
   [ NULL = {TRUE**} {FALSE} ]
   [ OVERALL = {FALSE**} {TRUE} ]
   [ LABEL = {variable}[({AUTO**} {RIGHT} {LEFT} {UPPER} {BOTTOM})] ]
   [ YRANGE = {value1 value2} ]
   [ XRANGE = {value1 value2} ]
]

**Default if the subcommand is omitted.

This command reads the active dataset and causes execution of any pending commands. See the topic Command Order for more information.

Syntax for the META BINARY command can be generated from the Meta Analysis Binary dialog.

Release history

META BINARY
  /DATA TREATMENT=SUCCESS(var_name) FAILURE(var_name)  CONTROL=SUCCESS(var_name) FAILURE(reside)   
    ID=var_name  ESTYPE=LOGOR 
  /CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=100 
    CONVERGENCE=0.000001 ZEROCOUNTS=ONLY ADD=0.5 DROP=TRUE
  /INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE.