Efficient Estimation of the Varying-Coefficient Partially Linear Proportional Hazards Model with Current Status Data

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atmire.migration.oldid4774
dc.contributor.advisorLu, Xuewen
dc.contributor.advisorSingh, Radhey
dc.contributor.authorDong, Yuan
dc.contributor.committeememberShen, Hua
dc.contributor.committeememberChen, Guanmin
dc.date.accessioned2016-08-22T22:12:39Z
dc.date.available2016-08-22T22:12:39Z
dc.date.issued2016
dc.date.submitted2016en
dc.description.abstractWe consider a semiparametric varying-coefficient proportional hazards model with current status data. This model enables one to assess possibly linear and nonlinear effect of certain covariates on the hazard rate. B-splines are applied to approximate both the unknown baseline hazard function and the varying-coefficient functions. To improve the performance of the model, ridge penalty is added to the log-likelihood to penalize the roughness of the cumulative hazard function. Efficient sieve maximum likelihood estimation method is used for estimation. Simulation studies with the weighted bootstrap method are conducted to examine the finite-sample properties of the proposed estimators. We also present an analysis of renal function recovery data for illustration.en_US
dc.identifier.citationDong, Y. (2016). Efficient Estimation of the Varying-Coefficient Partially Linear Proportional Hazards Model with Current Status Data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25842en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25842
dc.identifier.urihttp://hdl.handle.net/11023/3206
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.titleEfficient Estimation of the Varying-Coefficient Partially Linear Proportional Hazards Model 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
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