Distance models for analysis of multivariate binary data

Leiden Repository

Distance models for analysis of multivariate binary data

Type: Doctoral Thesis
Title: Distance models for analysis of multivariate binary data
Author: Worku, H.M.
Issue Date: 2018-12-20
Keywords: Probabilistic multidimensional unfolding model
Ideal point classification model
Multivariate binary data
Marginal model association model
Biplots
Generalized estimating equations
Multidimensional scaling
Clustered bootstrap
Multivatiate logistic distance model
Abstract: In this dissertation we developed statistical tools for analyzing multivariate binary data. In many disciplines multivariate binary data, in which there are multiple binary dependent variables and one or more independent variables, are often collected. In this dissertation we further developed the IPC model for analyzing multivariate binary data. The IPC model is a probabilistic multidimensional unfolding model and closely related to the Ideal Point Discriminant Analysis (IPDA). In Chapter 4, we proposed a Multivariate Logistic Distance (MLD) model for analyzing multivariate binary data. The MLD model unifies two domains of statistical methods, i.e., Multidimensional Scaling (MDS) and Generalized Linear Model (GLM). The MLD model can be used to simultaneously assess the dimensional structure of the data and to study the effect of the predictor variables on the response variables. For the NESDA data, for example, a researcher can use the MLD model to determine the dimensional structure of the mental disorders, and to investigate effect of the personality traits and the background variables on prevalence of the mental disorders.
Promotor: Supervisor: Rooij M. de, Heiser W.J.
Faculty: Social and Behavioural Sciences
University: Leiden
Uri: urn:isbn:9789463752213
Handle: http://hdl.handle.net/1887/67140
 

Files in this item

Description Size View
application/pdf Full Text 12.56Mb View/Open
application/pdf Cover 5.357Mb View/Open
application/pdf Title Page_Contents 5.514Mb View/Open
application/pdf Chapter 01 419.5Kb View/Open
application/pdf Chapter 02 1.236Mb View/Open
application/pdf Chapter 03 521.5Kb View/Open Full text at publisher site
application/pdf Chapter 04 414.4Kb View/Open Full text at publisher site
application/pdf Chapter 05 367.0Kb View/Open
application/pdf Chapter 06 182.5Kb View/Open
application/pdf Appendices_Bibliography 439.0Kb View/Open
application/pdf Summary_in Dutch 125.4Kb View/Open
application/pdf Acknowledgments_CV 5.416Mb View/Open
application/pdf Propositions 106.9Kb View/Open

This item appears in the following Collection(s)