In this article, I explain how to exploit Stata to run multilevel multiprocess regressions with applied maximum likelihood (aML). I show how a single do-file can prepare the dataset, write the control files, input the starting values, and run the regressions without the need to manually open the aML�s Command Prompt window. If desired, results can be brought back to Stata for postestimation. I also provide an example that illustrates how well Stata and aML work together.
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