META CONTINUOUS
META CONTINUOUS
is available in the Statistics Base Edition. The syntax represents
the meta-analysis procedure for continuous outcomes when the raw data are provided in the active
dataset for the estimation of the effect size.
META CONTINUOUS
[ /CRITERIA
[ SCOPE = {AVAILABLE**} {LISTWISE} ]
[ CLASSMISSING = {EXCLUDE**} {INCLUDE} ]
[ CILEVEL = {95**} {value} ]
[ MAXITER = {100**} {integer} ]
[ MAXSTEP = {5**} {integer} ]
[ CONVERGENCE = {1E−6**} {value} ]
]
/DATA
TREATMENT = N({variable}) MEAN({variable}){VAR({variable})} {STD({variable})}
CONTROL = N({variable}) MEAN({variable}){VAR({variable})} {STD({variable})}
[ ESTYPE = {COHEN_D**[(ADJUST)]}
{HEDGES_G[(ADJUST)]}
{GLASS_DELTA[(TREAT)]}
{MEAN_DIFF}[(UNEQUAL)]
]
[ 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} ]
]
[ /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 ]
]
[ /SAVE
[ ES[(var_name)] ] [ SE_ES[(var_name)] ]
[ CIL_ES[(var_name)] ] [ CIU_ES[(var_name)] ]
[ PVAL_ES[(var_name)] ] [ WEIGHT[(var_name)] ] [ WEIGHT_PCT[(var_name)] ]
]
[ /OUTFILE
CUMSTATS({'savfile'} {dataset})
[ CUMES[(var_name)] ] [ SE_CUMES[(var_name)] ]
[ CIL_CUMES[(var_name)] ] [ CIU_CUMES[(var_name)] ] [ PVAL_CUMES[(var_name)] ]
]
[ /FORESTPLOT
[ DISPLAY = {[ES] [SE] [CI] [WEIGHT] [PVAL]} ]
[ 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]} ]
[ 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} ]
]
**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
CONTINUOUS
command can be generated from the Meta Analysis Continuous dialog.
Release history
Release 28.0
- Command introduced.
Example
META CONTINUOUS
/DATA TREATMENT=N(var_name) MEAN(var_name) STD(var_name) CONTROL=N(var_name) MEAN(var_name) STD(var_name)
ID=var_name ESTYPE=COHEN_D
/CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=100
CONVERGENCE=0.000001
/INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE.