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Gray's time-varying coefficients model for posttransplant survival of pediatric liver transplant recipients with a diagnosis of cancer

Ren, Y and Chang, CCH and Zenarosa, GL and Tomko, HE and Donnell, DMS and Kang, HJ and Roberts, MS and Bryce, CL (2013) Gray's time-varying coefficients model for posttransplant survival of pediatric liver transplant recipients with a diagnosis of cancer. Computational and Mathematical Methods in Medicine, 2013. ISSN 1748-670X

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Abstract

Transplantation is often the only viable treatment for pediatric patients with end-stage liver disease. Making well-informed decisions on when to proceed with transplantation requires accurate predictors of transplant survival. The standard Cox proportional hazards (PH) model assumes that covariate effects are time-invariant on right-censored failure time; however, this assumption may not always hold. Gray's piecewise constant time-varying coefficients (PC-TVC) model offers greater flexibility to capture the temporal changes of covariate effects without losing the mathematical simplicity of Cox PH model. In the present work, we examined the Cox PH and Gray PC-TVC models on the posttransplant survival analysis of 288 pediatric liver transplant patients diagnosed with cancer. We obtained potential predictors through univariable (P < 0.15) and multivariable models with forward selection (P < 0.05) for the Cox PH and Gray PC-TVC models, which coincide. While the Cox PH model provided reasonable average results in estimating covariate effects on posttransplant survival, the Gray model using piecewise constant penalized splines showed more details of how those effects change over time. © 2013 Yi Ren et al.

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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ren, Y
Chang, CCH
Zenarosa, GLglz5@pitt.eduGLZ5
Tomko, HE
Donnell, DMS
Kang, HJ
Roberts, MSmroberts@pitt.eduMROBERTS
Bryce, CLbryce99@pitt.eduBRYCE990000-0001-6356-6675
Date: 1 January 2013
Date Type: Publication
Journal or Publication Title: Computational and Mathematical Methods in Medicine
Volume: 2013
DOI or Unique Handle: 10.1155/2013/719389
Schools and Programs: Swanson School of Engineering > Industrial Engineering
Refereed: Yes
ISSN: 1748-670X
MeSH Headings: Child; Child, Preschool; Computational Biology; End Stage Liver Disease--mortality; End Stage Liver Disease--surgery; Female; Histocompatibility Testing; Humans; Infant; Kaplan-Meier Estimate; Liver Neoplasms--mortality; Liver Neoplasms--surgery; Liver Transplantation--mortality; Male; Models, Statistical; Multivariate Analysis; Proportional Hazards Models; Survival Analysis; Tissue Donors; Tissue and Organ Procurement--statistics & numerical data; United States--epidemiology
Other ID: NLM PMC3665233
PubMed Central ID: PMC3665233
PubMed ID: 23762197
Date Deposited: 09 Jun 2014 15:27
Last Modified: 23 Nov 2021 13:56
URI: http://d-scholarship.pitt.edu/id/eprint/21748

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