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

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 s...

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Detalles Bibliográficos
Autores principales: Malloy, Elizabeth J., Kapellusch, Jay M., Garg, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632483/
https://www.ncbi.nlm.nih.gov/pubmed/29312462
http://dx.doi.org/10.1155/2017/7518035
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author Malloy, Elizabeth J.
Kapellusch, Jay M.
Garg, Arun
author_facet Malloy, Elizabeth J.
Kapellusch, Jay M.
Garg, Arun
author_sort Malloy, Elizabeth J.
collection PubMed
description 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.
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spelling pubmed-56324832018-01-08 Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines Malloy, Elizabeth J. Kapellusch, Jay M. Garg, Arun Comput Math Methods Med Research Article 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. Hindawi 2017 2017-09-20 /pmc/articles/PMC5632483/ /pubmed/29312462 http://dx.doi.org/10.1155/2017/7518035 Text en Copyright © 2017 Elizabeth J. Malloy et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Malloy, Elizabeth J.
Kapellusch, Jay M.
Garg, Arun
Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines
title Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines
title_full Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines
title_fullStr Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines
title_full_unstemmed Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines
title_short Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines
title_sort estimating and interpreting effects from nonlinear exposure-response curves in occupational cohorts using truncated power basis expansions and penalized splines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632483/
https://www.ncbi.nlm.nih.gov/pubmed/29312462
http://dx.doi.org/10.1155/2017/7518035
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