Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines

<div>Estimated ln(HR) and corresponding pointwise 95% confidence intervals using linear spline (a) and cubic spline (b) basis functions with knots at quartiles of the case exposures (<i>k</i><sub>1</sub> = 3.0,<i> k</i><sub>2</sub> = 5.5, and<i> k</i><sub>3</sub> = 8.3).</div>

Computational and Mathematical Methods in Medicine

fig3

Figure 3

Figure 3: Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines 

Figure 3 | Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines 