.- help for ^metap^ (STB-49: sbe28) .- Meta-analysis of p-values ------------------------- ^metap^ pvar [^if^ exp] [^in^ range] [^, e(^#^)^] Description ----------- ^metap^ provides combination of p-values from each study. The user provides the one-tail p-values as ^pvar^. If you have a dataset which contains data for all studies, then the @byvar@ command (STB-27) can be used to derive the p-values for the individual studies. For example: . ^sort study^ . ^byvar study, coef(group) se(group) generate:^ . ^quietly poisson cases group, e(pyrs)^ . ^sort study^ . ^qui by study: keep if _n==1^ . ^rename _C_1 logrr^ . ^rename _S_1 se^ . ^generate pvar=norprob(-logrr/se)^ . ^metap p^ Alternatively, the @collapse@ or @for@ commands may be useful. Option ------ ^e(^#^)^ combines the p-values using Edgington's (Edgington 1972a, 1972b) methods. Here, two alternatives are available: ^a^ additive method based on the sum of probabilities, this method is suggested to combine a small number of studies, producing similar results as Fisher's method. ^n^ normal curve method based on the contrast of the p-value average, this methods is suggested to combine a large number of studies. By default Fisher's (Fisher 1932) method is used. Examples -------- . ^metap pvar^ . ^metap pvar, e(a)^ . ^metap pvar, e(n)^ Author ------ Aurelio Tobias Statistical Consultant Madrid, Spain email: bledatobias@@ctv.es References ---------- Edgington, E.S. (1972a). An additive method for combining probability values from independent experiments. Journal of Psychology, 80: 351-363. Edgington, E.S. (1972b). A normal curve method for combining probability values from independent experiments. Journal of Psychology, 82: 85-89. Fisher, R.A. (1932). Statistical Methods for Research Workers 4th ed. London: Oliver & Boyd. Also see -------- STB: STB-49 sbe28 On-line: help for @byvar@, @collapse@, @for@, @meta@ (if installed), @metareg@ (if installed), @metabias@ (if installed), @metacum@ (if installed), @galbr@ (if installed), @metainf@ (if installed)