A Flexible B-Spline Model for Multiple Longitudinal Biomarkers and Survival

Often when jointly modeling longitudinal and survival data, we are interested in a multivariate longitudinal measure that may not fit well by linear models. To overcome this problem, we propose a joint longitudinal and survival model that has a nonparametric model for the longitudinal markers. We us...

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Veröffentlicht in:	Biometrics 2005-03, Vol.61 (1), p.64-73
Hauptverfasser:	Brown, Elizabeth R., Ibrahim, Joseph G., DeGruttola, Victor
Format:	Artikel
Sprache:	eng
Schlagworte:	Acquired Immunodeficiency Syndrome - drug therapy Acquired Immunodeficiency Syndrome - mortality Acquired Immunodeficiency Syndrome - pathology AIDS Algorithms Anti-HIV Agents - pharmacology Bayesian methods Biological markers Biomarkers Biometrics Biometry CD4 Lymphocyte Count - statistics & numerical data Cubic B-splines Disease Progression HIV Infections - drug therapy HIV Infections - mortality HIV Infections - pathology Humans Joint longitudinal and survival model Linear models Longitudinal Studies Markov Chains Model assessment Modeling Monte Carlo Method Musical intervals Parametric models Proportional Hazards Models Simulations Statistics, Nonparametric Survival Analysis Time Factors Trajectories Viral load Viral Load - statistics & numerical data
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