METAPARM: Stata module to perform meta-analysis and transformations using parmest resultssets
The metaparm package contains two resultsset-processing programs, parmcip and metaparm, for use with parmest resultssets. metaparm inputs a dataset in memory with one observation per parameter and variables containing estimates, standard errors and (optionally) degrees of freedom, and creates an output dataset with one observation, or one observation per by-group, and data on estimates, standard errors, z- or t-statistics, P-values and confidence limits for a linear combination (weighted sum) of the input parameters, assuming that the input parameters are estimated independently for different sub-populations. The output dataset can be listed to the Stata log, saved to a disk file, or written to memory, overwriting the existing dataset. metaparm is useful for meta-analyses and for calculating confidence intervals and P-values for differences or ratios between parameters for different subpopulations. parmcip inputs a dataset in memory with one observation per parameter and variables containing parameter estimates, standard errors and (optionally) degrees of freedom, and adds new variables to the dataset, containing the confidence limits, z- or t-statistics, P-values, and (optionally) stars for P-values. parmcip is useful if the user requires confidence intervals for a transformation of the original parameters.
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