META BINARY

META BINARY 在 Statistics Base Edition 中可用。 语法表示在活动数据集中提供原始数据以估算效应大小时用于二进制结果的元分析过程。

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} ]
]

* * 如果省略子命令，那么为缺省值。

此命令读取活动数据集并导致执行任何暂挂命令。 请参阅主题 命令顺序 以获取更多信息。

可以从 元分析二进制 对话框生成 META BINARY 命令的语法。

发布历史

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.