Computed theoretical power for N=100 and N=200 scenarios
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Modules/ado/plus/m/metainf.hlp
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Modules/ado/plus/m/metainf.hlp
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.-
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help for ^metainf^ (STB-47: sbe26; STB-56: sbe26.1)
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.-
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Influence of a single study in the meta-analysis estimates
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----------------------------------------------------------
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^metainf^ theta setheta [^if^ exp] [^in^ range] [,^id(^labvar^)^ ^eform^ ^random^
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^print^ graph_options]
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Description
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-----------
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^metainf^ investigate the influence of a single study on the overall meta-
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analysis estimate. This command shows graphically the results of an influence
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analysis, in which the meta-analysis estimates are computed omitting one study
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in each turn.
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^theta^ is the effect estimated from the individual study, and ^setheta^ is its
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standard error. For example theta might be a difference in means, a log rate
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ratio, a log odds ratio, or a log hazard ratio.
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If you have a dataset which contains data for all studies, then the @byvar@
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command can be used to derive the effect estimates and standard errors for the
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individual studies. For example:
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. ^sort study^
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. ^byvar study, coef(group) se(group) generate:^
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. ^quietly poisson cases group, e(pyrs)^
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. ^sort study^
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. ^qui by study: keep if _n==1^
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. ^rename _C_1 logrr^
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. ^rename _S_1 logse^
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. ^metainf logrr logse, id(study)^
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Alternatively, the @collapse@ command may be useful.
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Options
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-------
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^id(^labvar^)^ is a variable which is used to label the studies.
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^eform^ requests that the output is exponentiated.
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^random^ request random-effects estimates. By default fixed-effects estimates
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are computed.
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^print^ shows the estimates, and their 95% confidence interval, of the meta-
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analysis estimates omitting one study in each turn. These values are used to
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make the graphic.
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All ^hplot^ options are also available.
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Note
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----
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To run the ^metainf^ command, the ^meta^ [STB-43 sbe16.2, STB-42 sbe16.1,
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STB-38 sbe16] and the ^hplot^ (Cox 1999a, 1999b) command must be installed.
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Examples
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--------
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. ^metainf logrr logse, print id(studyid)^
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. ^metainf logrr logse, random print id(studyid)^
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. ^metainf logrr logse, random eform id(studyid) format(%4.2f)^
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References
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----------
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Cox NJ (1999a). -hplot- and -hbar- for presentation graphics. Proceedings
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of the 5th Stata UK user group meeting, London, UK.
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Cox NJ (1999b). De tablas a gr<67>ficos, presentaciones en Stata. Proceedings
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of the 1st Iberian user group meeting, Cordoba, Spain.
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Author
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------
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Aurelio Tobias
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Universidad Miguel Hernandez, Alicante, Spain
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email: bledatobias@@ctv.es
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Also see
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--------
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On-line: help for @byvar@, @collapse@, @for@, @meta@ (if installed), @metareg@ (if
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installed), @metabias@ (if installed), @metacum@ (if installed), @galbr@
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(if installed), metap (if installed), @hplot@ (if installed)
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