META ES BINARY

META ES BINARY está disponible en Statistics Base Edition. La sintaxis representa el procedimiento de metaanálisis para resultados binarios cuando los datos de tamaño de efecto calculados previamente se proporcionan en el conjunto de datos activo.

META ES BINARY

[ /CRITERIA
   [ SCOPE = {AVAILABLE**} {LISTWISE} ]
   [ CLASSMISSING = {EXCLUDE**} {INCLUDE} ]
   [ CILEVEL = {95**} {value} ]
   [ MAXITER = {100**} {integer} ]
   [ MAXSTEP = {5**} {integer} ]
   [ CONVERGENCE = {1E−6**} {value} ]
]

/DATA
   ES = {variable}
   ESTYPE = {LOGOR} {LOGPETO} {LOGRR} {RD}
   {VAR = {variable}} {SE = {variable}}
   [ ID = {variable} ]
   [ STUDY = {variable} ]

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

[ /INFERENCE
   [ MODEL = {RANDOM**} {FIXED} ]
   [ 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
   [ 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_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} ]
]

* * 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 ES BINARY se puede generar desde el diálogo Tamaño de efecto binario de meta análisis .

Historial del release

META ES BINARY
  /DATA  ES=var_name  SE=var_name  ID=var_name  ESTYPE=LOGOR 
  /CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=100 
    CONVERGENCE=0.000001
  /INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE.