Extension of the association structure in joint models to include weighted cumulative effects.
Motivated by a study measuring diabetes-related risk factors and complications, we postulate an extension to the standard formulation of joint models for longitudinal and survival outcomes, wherein the longitudinal outcome has a cumulative effect on the hazard of the event, weighted by recency. We f...
| Publicado en: | Statistics in Medicine Vol. 36; no. 23; pp. 3746 - 3760 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
10/15/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124992144&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124992144 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02776715 2DZ jtl: Statistics in Medicine issn: 02776715 maglogo: Y pubinfo: dt: 10/15/2017 vid: 36 iid: 23 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 124992144 124992144 NLM28714278 10.1002/sim.7385 NLM28714278 124992144 ppf: 3746 ppct: 14 formats: tig: atl: Extension of the association structure in joint models to include weighted cumulative effects. aug: au: Mauff, Katya Steyerberg, Ewout W. Nijpels, Giel Heijden, Amber A.W.A Rizopoulos, Dimitris affil: Department of Biostatistics, Erasmus MC, PO Box 2040, Rotterdam 3000 CA, The Netherlands sug: ab: Motivated by a study measuring diabetes-related risk factors and complications, we postulate an extension to the standard formulation of joint models for longitudinal and survival outcomes, wherein the longitudinal outcome has a cumulative effect on the hazard of the event, weighted by recency. We focus on the relationship between the biomarker HbA1c and the development of sight threatening retinopathy, since the impact of the HbA1c marker on the risk of sight threatening retinopathy is expected to be cumulative, with the evolution of the HbA1c marker over time contributing to progressively greater damage to the vascular structure of the retina. Opting for a parametric approach, we propose the use of the normal and skewed normal probability density functions as weight functions, estimating the relevant parameters directly from the data. The use of the recency-weighted cumulative effect specification allows us to incorporate differences in the development of the longitudinal profile over time in the calculation of hazard ratios between subjects. The proposed functions provide us with parameters with clinically relevant interpretations while retaining a degree of flexibility. In addition, they also allow answering of important clinical questions regarding the relative importance of various segments of the biomarkers history in the estimation of the risk of the event. Copyright © 2017 John Wiley & Sons, Ltd. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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