use proc glm and a random statement with 'inverse' option in the model statement to incorporate SE as weights? although anne whitehead says in her book on meta-analysis, section 4.2.4 on weighted LS regression, regarding SAS: "It should be noted that the standard error and test statistics displayed for the intercept parameter are incorrect for the required model, because they assume that var(εi) = σ2/wi, where σ2 is to be estimated from the data, instead of equal to 1. This will also be the case for other statistical packages." i'm not sure if this is helpful ....
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