SmoothHR: an R package for pointwise nonparametric estimation of hazard ratio curves of continuous predictors

DOI10.1155/2013/745742zbMath1307.92021OpenAlexW2143465763WikidataQ37422476 ScholiaQ37422476MaRDI QIDQ2262309

Carmen Cadarso-Suárez, Artur Araújo, Francisco Gude, Luis F. Meira-Machado

Publication date: 16 March 2015

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/745742

Mathematics Subject Classification ID

General biostatistics (92B15) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items (3)

Estimating and interpreting effects from nonlinear exposure-response curves in occupational cohorts using truncated power basis expansions and penalized splines ⋮ Time-dependent ROC methodology to evaluate the predictive accuracy of semiparametric multi-state models in the presence of competing risks: An application to peritoneal dialysis programme ⋮ SmoothHR

Uses Software

• R

Cites Work

• Estimating the dimension of a model
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Analysis of heart transplant survival data using generalized additive models
• Polynomial Spline Estimation and Inference of Proportional Hazards Regression Models with Flexible Relative Risk Form
• Misspecified proportional hazard models
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Proportional hazards tests and diagnostics based on weighted residuals
• Bayesian Information Criterion for Censored Survival Models
• A Mixed Model Approach for Geoadditive Hazard Regression
• A new look at the statistical model identification

This page was built for publication: SmoothHR: an R package for pointwise nonparametric estimation of hazard ratio curves of continuous predictors