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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 36.04 kB | Adobe PDF | View/Open |
02_certificate & declaration.pdf | 40.95 kB | Adobe PDF | View/Open | |
03_acknowledgements.pdf | 43.56 kB | Adobe PDF | View/Open | |
04_contents.pdf | 48.88 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 349.11 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 277.65 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 225.91 kB | Adobe PDF | View/Open | |
08_chapter 4-5.pdf | 521.82 kB | Adobe PDF | View/Open | |
09_chapter 6.pdf | 157.15 kB | Adobe PDF | View/Open | |
10_chapter 7.pdf | 124.93 kB | Adobe PDF | View/Open | |
11_bibliography.pdf | 1.78 MB | Adobe PDF | View/Open |
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