Joint models for longitudinal and survival data

Joint models for longitudinal and survival data

Indiana University-Purdue University Indianapolis (IUPUI) === Epidemiologic and clinical studies routinely collect longitudinal measures of multiple outcomes. These longitudinal outcomes can be used to establish the temporal order of relevant biological processes and their association with the onse...

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Bibliographic Details
Main Author: Yang, Lili
Other Authors: Gao, Sujuan
Language:en_US
Published: 2014
Subjects:
joint models
longitudinal data
survival data
bivariate change point models
prediction
Bayesian method
EM algorithm
Medical sciences > Statistical methods > Computer programs
Bayesian statistical decision theory > Research
Medicine > Research > Statistical methods
Survival analysis (Biometry) > Data processing
Biologically-inspired computing
Longitudinal method > Research > Statistical methods
Medicine > Study and teaching > Simulation methods
Probability measures
Expectation-maximization algorithms
Estimation theory > Research > Statistical methods
Structural bioinformatics > Statistical methods
Failure time data analysis
Numerical analysis > Data processing
Clinical trials > Statistical methods
Online Access:http://hdl.handle.net/1805/4666

Internet

http://hdl.handle.net/1805/4666

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