Efficient Estimation of the Varying-Coefficient Partially Linear Proportional Odds Models with Current Status Data

Simple item page
atmire.migration.oldid4798
dc.contributor.advisorLu, Xuewen
dc.contributor.advisorWu, Jingjing
dc.contributor.authorLu, Shanshan
dc.contributor.committeememberChen, Gemai
dc.contributor.committeememberShen, Hua
dc.date.accessioned2016-08-25T15:00:07Z
dc.date.available2016-08-25T15:00:07Z
dc.date.issued2016
dc.date.submitted2016en
dc.description.abstractWe consider a varying-coefficient partially linear proportional odds model with current status data. This model enables one to examine the extent to which some covariates interact nonlinearly with an exposure variable, while other covariates present linear effects. B-spline approach and sieve maximum likelihood estimation method are used to get an integrated estimate for the linear coefficients, the varying-coefficient functions and the baseline function. The proposed parameter estimators are proved to be consistent and asymptotically normal, and the estimators for the nonparametric functions achieve the optimal rate of convergence. Simulation studies and a real data analysis are used for assessment and illustration.en_US
dc.identifier.citationLu, S. (2016). Efficient Estimation of the Varying-Coefficient Partially Linear Proportional Odds Models with Current Status Data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25843en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25843
dc.identifier.urihttp://hdl.handle.net/11023/3220
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectStatistics
dc.subject.classificationPO Modelen_US
dc.titleEfficient Estimation of the Varying-Coefficient Partially Linear Proportional Odds Models with Current Status Data
dc.typemaster thesis
thesis.degree.disciplineMathematics and Statistics
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
Files
Collections
Open Theses and Dissertations