title: Causal diagrams and multivariate analysis II: precision work.
abstract: In this Investigators' Corner, I continue my discussion of when and why we researchers should include variables in multivariate regression. My examination focuses on studies comparing treatment groups and situations for which we can either exclude variables from multivariate analyses or include them for reasons of precision.
authors.affiliation: Assistant Professor, Department of Preventive Medicine and Community Health, The University of Texas Medical Branch, Galveston, TX. Electronic address: dajupite@utmb.edu.
authors.forename: Daniel C
authors.initials: DC
authors.lastname: Jupiter
mesh_terms: D035843:Biomedical Research; D015984:Causality; D015981:Epidemiologic Factors; D015999:Multivariate Analysis; D012107:Research Design
keywords: confounder; multivariate analysis; precision variable