Title: Some Covariance Models for Longitudinal Count Data with Overdispersion
Author: THALL, PF; VAIL, SC
Source: BIOMETRICS,vol.46,no.3,pp.657-671,1990
Keywords: Covariance matrix; Generalized linear model; Longitudinal data; Overdispersion; Quasi-likelihood.
(RefWorks Listed; DL)
Title: Longitudinal Data Analysis Using Generalized Linear Models
Author: LIANG, KY; ZEGER, SL
Source: BIOMETRIKA,vol.73,no.1,pp.13-22,1986
Keywords: Estimating equation; Generalized linear model; Longitudinal data; Quasi-likelihood; Repeated measures.
(RefWorks Listed; DL; PT)
Title: Longitudinal Data Analysis for Discrete and Continuous Outcomes
Author: Author: ZEGER, SL; LIANG, KY
Source: BIOMETRICS,vol.42,no.1,pp.121-130,1986
Keywords: Generalized estimating equations; Generalized linear models; Longitudinal data; Quasi-likelihood; Repeated Measures.
(RefWorks Listed; DL; PT)
Title: Models for Longitudinal Data: A Generalized Estimating Equation Approach
Author: ZEGER, SL; LIANG, KY; ALBERT, PS
Source: BIOMETRICS,vol.44,no.4,pp.1049-1060,1988
Keywords: Generalized estimating equations; Generalized linear models; Longitudinal data; Quasi-likelihood; Random effects.
(RefWorks Listed; DL)
Title: Simultaneous Modelling of the Cholesky Decomposition of Several Covariance Matrices
Author: Pourahmadi, M; Daniels, MJ; Park, T
Source: JOURNAL OF MULTIVARIATE ANALYSIS, vol.98, no.3, pp.568-587, 2007
Descriptors: Common principal components; Longitudinal data; Maximum likelihood estimation; Missing data; Spectral decomposition; Variance-correlation decomposition
(RefWorks Listed; DL; PT)
Title: Maximum Likelihood Estimation of Generalised Linear Models for Multivariate Normal Covariance Matrix
Author: Pourahmadi, M
Source: Biometrika, vol. 87, no. 2, pp. 425-435, June 2000
Descriptors: Asymptotic normality; Cholesky decomposition; Fisher information; Newton-Raphson algorithm; unconstrained parameterisation; variable selection and diagnostics
(DL)
Title: Joint Mean-Covariance Models with Applications to Longitudinal Data Unconstrained Parameterisation
Author: Pourahmadi, M
Source: Biometrika, vol. 86, no. 3, pp. 677-690, September 1999
Descriptors: Antedependence; Cholesky decomposition; Generalised linear model; Linear regression and autoregression; Link function; Multivariate normal; Nonstationary model; Stationary model
(DL)
Title: Model-based Clustering for Longitudinal Data
Author: De la Cruz-Mesia, R; Quintanab, FA; Marshall, G
Source: COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol.52, no.3, pp.1441-1457, 2008
Keywords: EM algorithm; Cluster analysis; Markov chain Monte Carlo; Mixture model; Non-linear models; Random effects
(RefWorks Listed; DL)
Title: Variable Selection for Model-Based Clustering
Author: Raftery, AE; Dean, N
Source: Journal of the American Statistical Association, 101(473), 168-178, 2006
Keywords: Bayes factor; BIC; Feature selection; Model-based clustering; Unsupervised learning; Variable selection
(DL; PT)
Title: Bayes Factors
Author: KASS, RE; RAFTERY, AE
Source: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol.90, no.430, pp.773-795, 1995
Keywords: BAYESIAN HYPOTHESIS TESTS; BIC; IMPORTANCE SAMPLING; LAPLACE METHOD; MARKOV CHAIN MONTE CARLO; MODEL SELECTION; MONTE CARLO INTEGRATION; POSTERIOR MODEL PROBABILITIES; POSTERIOR ODDS; QUADRATURE; SCHWARZ CRITERION; SENSITIVITY ANALYSIS; STRENGTH OF EVIDENCE
(RefWorks Listed; DL)