iBlog in Statistics

Title: Logistic Regression : A Self-Learning Text

Author: Kleinbaum, David G.

Publisher: New York : Springer, 1994.

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)