USING CONDITIONAL LINEAR REGRESSION TREES TO IDENTIFY POTENTIAL CONSTRUCT VALIDITY AND MEASUREMENT ERROR DIFFERENCES IN HEALTH OUTCOMES FROM A U.S. NATIONAL SURVEY.
Journal: Journal of survey statistics and methodology
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How to Cite this Article
Earp MS, Rossen LM, Forrest SE, et al. (2026). "USING CONDITIONAL LINEAR REGRESSION TREES TO IDENTIFY POTENTIAL CONSTRUCT VALIDITY AND MEASUREMENT ERROR DIFFERENCES IN HEALTH OUTCOMES FROM A U.S. NATIONAL SURVEY.". Journal of survey statistics and methodology. https://doi.org/10.1093/jssam/smaf035