articleStatistics in MedicineJan 19, 2010Closed access

Dose‐response analyses using restricted cubic spline functions in public health research

AgroParisTech · Biologie et gestion des champignons phytopathogènes · +1 more institution

PubMed
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Abstract

Taking into account a continuous exposure in regression models by using categorization, when non-linear dose-response associations are expected, have been widely criticized. As one alternative, restricted cubic spline (RCS) functions are powerful tools (i) to characterize a dose-response association between a continuous exposure and an outcome, (ii) to visually and/or statistically check the assumption of linearity of the association, and (iii) to minimize residual confounding when adjusting for a continuous exposure. Because their implementation with SAS® software is limited, we developed and present here an SAS macro that (i) creates an RCS function of continuous exposures, (ii) displays graphs showing the…

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Authors

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Topics & keywords

Keywords
  • Confounding
  • Logistic regression
  • Statistics
  • Linear regression
  • Confidence interval
  • Mathematics
  • Covariate
  • Medicine
UN Sustainable Development Goals
  • Good health and well-being
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