title: ASSESSING THE ASSOCIATION BETWEEN TRENDS IN A BIOMARKER AND RISK OF EVENT WITH AN APPLICATION IN PEDIATRIC HIV/AIDS.
abstract: We present a new joint longitudinal and survival model aimed at estimating the association between the risk of an event and the change in and history of a biomarker that is repeatedly measured over time. We use cubic B-splines models for the longitudinal component that lend themselves to straight-forward formulations of the slope and integral of the trajectory of the biomarker. The model is applied to data collected in a long term follow-up study of HIV infected infants in Uganda. Estimation is carried out using MCMC methods. We also explore using the deviance information criteria, the conditional predictive ordinate and ROC curves for model selection and evaluation.
authors.affiliation: University of Washington Seattle, Washington 98195 USA elizab@u.washington.edu.
authors.forename: Elizabeth R
authors.initials: ER
authors.lastname: Brown
references.citation: Stat Med. 1996 Aug 15;15(15):1663-85
references.pmid: 8858789
references.citation: Stat Med. 2007 May 10;26(10):2229-45
references.pmid: 16900568
references.citation: Lancet. 1999 Sep 4;354(9181):795-802
references.pmid: 10485720
references.citation: Stat Med. 2007 Dec 20;26(29):5285-302
references.pmid: 17542002
references.citation: Biometrics. 1997 Mar;53(1):330-9
references.pmid: 9147598
references.citation: Lancet. 2003 Sep 13;362(9387):859-68
references.pmid: 13678973
references.citation: Biometrics. 2008 Dec;64(4):1238-46
references.pmid: 18261160
references.citation: JAMA. 2007 Jun 6;297(21):2349-50
references.pmid: 17551128
references.citation: Biometrics. 2005 Mar;61(1):64-73
references.pmid: 15737079
references.citation: Biometrics. 2000 Jun;56(2):337-44
references.pmid: 10877287