Combining Likelihood and Significance Functions

The need to combine likelihood information is common in analyses of complex models and in meta-analyses, where information is combined from several studies. We work to first order, and show that full accuracy when combining scalar or vector parameter information is available from an asymptotic analysis of the score variables. Then we use this approach to combine p-values for scalar parameters of interest.