Add to ORKG57 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.General computing algorithms are developed in R for the GEE computations and WinBugs to perform Gibbs sampling for the Bayesian analysis. Analyses of randomized controlled longitudinal data and randomized controlled surgical data are used to illustrate the features of the class of models.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
84 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.In the last part of the thesis...
SUMMARY. This paper considers the class of sequential ordinal models in relation to other models for...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN037185 / BLDSC - British Library D...
57 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.General computing algorithms a...
Due to the increasing use of ordinal variables in different fields, new statistical methods for thei...
Correlated ordinal data are common in many areas of research. The data may arise from longitudinal s...
This thesis presents a study of statistical models for ordered categorical data. The generalized lin...
An extension of the bivariate model suggested by Dale is proposed for the analysis of dependent ordi...
Different conditional independence specifications for ordinal categorical data are compared by calcu...
Ordinal variables appear in many field of statistical research. Since working with simulated data is...
This dissertation explores different methods to study the dependence structure among many ordinal va...
Subject-specific and marginal models have been developed for the analysis of longitudinal ordinal da...
Modeling and predicting of ordinal outcomes have become essential study to many statisticians due to...
Studies in epidemiology and social sciences are often longitudinal and outcome measures are frequent...
This monograph provides a concise point of research topics and reference for modeling correlated res...
84 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.In the last part of the thesis...
SUMMARY. This paper considers the class of sequential ordinal models in relation to other models for...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN037185 / BLDSC - British Library D...
57 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.General computing algorithms a...
Due to the increasing use of ordinal variables in different fields, new statistical methods for thei...
Correlated ordinal data are common in many areas of research. The data may arise from longitudinal s...
This thesis presents a study of statistical models for ordered categorical data. The generalized lin...
An extension of the bivariate model suggested by Dale is proposed for the analysis of dependent ordi...
Different conditional independence specifications for ordinal categorical data are compared by calcu...
Ordinal variables appear in many field of statistical research. Since working with simulated data is...
This dissertation explores different methods to study the dependence structure among many ordinal va...
Subject-specific and marginal models have been developed for the analysis of longitudinal ordinal da...
Modeling and predicting of ordinal outcomes have become essential study to many statisticians due to...
Studies in epidemiology and social sciences are often longitudinal and outcome measures are frequent...
This monograph provides a concise point of research topics and reference for modeling correlated res...
84 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.In the last part of the thesis...
SUMMARY. This paper considers the class of sequential ordinal models in relation to other models for...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN037185 / BLDSC - British Library D...