Weighted Scores Method for Regression Models with Dependent Data
APPROXIMATION OF BIVARIATE STANDARD NORMAL DISTRIBUTION
BIVARIATE COMPOSITE LIKELIHOOD FOR MULTIVARIATE NORMAL COPULA WITH CAT...
Hospital Visit Data
OPTIMIZATION ROUTINE FOR BIVARIATE COMPOSITE LIKELIHOOD FOR MVN COPULA
CL1 INFORMATION CRITERIA
INVERSE GODAMBE MATRIX
Maximum Likelihood for Ordinal Model
INDEPENDENT ESTIMATING EQUATIONS FOR BINARY AND COUNT REGRESSION
NEGATIVE LOG-LIKELIHOOD ASSUMING INDEPEDENCE WITHIN CLUSTERS
DENSITY AND CDF OF THE UNIVARIATE MARGINAL DISTRIBUTION
Derivatives of Multivariate Normal Rectangle Probabilities
MVN Rectangle Probabilities
COVARIANCE MATRIX OF THE UNIVARIATE SCORES
SOLVING THE WEIGHTED SCORES EQUATIONS WITH INPUTS OF THE WEIGHT MATRIC...
The toenail infection data
Weighted Scores Method for Regression Models with Dependent Data
WEIGHT MATRICES FOR THE ESTIMATING EQUATIONS
THE WEIGHTED SCORES EQUATIONS WITH INPUTS OF THE WEIGHT MATRICES AND T...
THE WEIGHTED SCORES METHOD WITH INPUTS OF THE DATA
The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011) <doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <arXiv:1510.07376>.