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Tag: Research Methods
HiMCM Missing Data: Comparing Imputation Choices Without Hiding Uncertainty
Learn how to handle incomplete datasets in HiMCM by comparing imputation strategies and documenting uncertainty instead of hiding gaps.
Read article →HiMCM Baseline Models: Making a Complex Approach Earn Its Place
Learn when to build a baseline model in HiMCM and when to skip it. Two worked hypothetical examples show how…
Read article →HiMCM Dimensional Analysis: Catching Unit Errors Before Running the Model
A practical guide for HiMCM teams on using dimensional analysis to catch unit errors before modeling, with worked examples and…
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