Multivariate semiparametric regression models for longitudinal data

Multivariate semiparametric regression models for longitudinal data

Multiple-outcome longitudinal data are abundant in clinical investigations. For example, infections with different pathogenic organisms are often tested concurrently, and assessments are usually taken repeatedly over time. It is therefore natural to consider a multivariate modeling approach to accom...

Full description

Bibliographic Details
Main Author: Li, Zhuokai
Other Authors: Tu, Wanzhu
Language:en_US
Published: 2015
Subjects:
Biostatistics
Regression analysis > Data processing > Research > Methodology
Mathematical statistics > Longitudinal studies > Research
Multivariate analysis > Research > Methodology
Estimation theory > Research
Biometry > Methodology > Research
Clinical trials > Statistical methods > Research
Expectation-maximization algorithms > Research
Binary system (Mathematics) > Research
Nonparametric statistics > Research
Probabilities > Data processing
Real-time data processing > Research
Parameter estimation > Research
Latent variables > Research
Meta-analysis > Research > Methodology
Stochastic processes > Research
Least squares > Research
Online Access:http://hdl.handle.net/1805/6462

Internet

http://hdl.handle.net/1805/6462

Similar Items