META BINARY

META BINARY está disponible en Statistics Base Edition. La sintaxis representa el procedimiento de meta-análisis para resultados binarios cuando los datos en bruto se proporcionan en el conjunto de datos activo para la estimación del tamaño de efecto.

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} ]
]

* * Valor predeterminado si se omite el submandato.

Este mandato lee el conjunto de datos activo y provoca la ejecución de los mandatos pendientes. Consulte el tema Orden de mandatos para obtener más información.

La sintaxis del mandato META BINARY se puede generar desde el diálogo Metaanálisis Binario .

Historial del release

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.