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

作者：Elizabeth J. Malloy, Jay Kapellusch, Arun Garg · 发表于：Computational and Mathematical Methods in Medicine · 年份：2017 · DOI：10.1155/2017/7518035 · 被引用次数：14 · 研究领域：Advanced Statistical Methods and Models、Probabilistic and Robust Engineering Design、Optimal Experimental Design Methods

Truncated power basis expansions and penalized spline methods are demonstrated for estimating nonlinear exposure-response relationships in the Cox proportional hazards model. R code is provided for fitting models to get point and interval estimates. The method is illustrated using a simulated data set under a known exposure-response relationship and in a data application examining risk of carpal tunnel syndrome in an occupational cohort.