Dose‐response analyses using restricted cubic spline functions in public health research
AgroParisTech · Biologie et gestion des champignons phytopathogènes · +1 more institution
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…
Citation impact
- FWCI
- 26.13
- Percentile
- 100%
- References
- 49
Authors
2Topics & keywords
- Confounding
- Logistic regression
- Statistics
- Linear regression
- Confidence interval
- Mathematics
- Covariate
- Medicine
- Good health and well-being