Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/18954
Title: Modeling and analysis of competing risks data
Researcher: Sreedevi E P
Guide(s): Sankaran, P G
Keywords: Statistics
Upload Date: 6-Jun-2014
University: Cochin University of Science and Technology
Completed Date: 09/04/2010
Abstract: There has been much research on analyzing various forms of competing risks data. Nevertheless, there are several occasions in survival studies, where the existing models and methodologies are inadequate for the analysis competing risks data. ldentifiabilty problem and various types of and censoring induce more complications in the analysis of competing risks data than in classical survival analysis. Parametric models are not adequate for the analysis of competing risks data since the assumptions about the underlying lifetime distributions may not hold well. Motivated by this, in the present study. we develop some new inference procedures, which are completely distribution free for the analysis of competing risks data.
Pagination: 164p.
URI: http://hdl.handle.net/10603/18954
Appears in Departments:Department of Statistics

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01_title.pdfAttached File36.04 kBAdobe PDFView/Open
02_certificate & declaration.pdf40.95 kBAdobe PDFView/Open
03_acknowledgements.pdf43.56 kBAdobe PDFView/Open
04_contents.pdf48.88 kBAdobe PDFView/Open
05_chapter 1.pdf349.11 kBAdobe PDFView/Open
06_chapter 2.pdf277.65 kBAdobe PDFView/Open
07_chapter 3.pdf225.91 kBAdobe PDFView/Open
08_chapter 4-5.pdf521.82 kBAdobe PDFView/Open
09_chapter 6.pdf157.15 kBAdobe PDFView/Open
10_chapter 7.pdf124.93 kBAdobe PDFView/Open
11_bibliography.pdf1.78 MBAdobe PDFView/Open


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