- Title
- A cox proportional hazard model for mid-point imputed interval censored data
- Creator
- Gwaze, Arnold Rumosa
- Subject
- Statistics -- Econometric models
- Subject
- Survival analysis (Biometry)
- Subject
- Mathematical statistics -- Data processing
- Subject
- Nonparametric statistics
- Subject
- Sampling (Statistics)
- Subject
- Multiple imputation (Statistics)
- Date
- 2011
- Type
- Thesis
- Type
- Masters
- Type
- MSc (Biostatistics and Epidemiology)
- Identifier
- vital:11780
- Identifier
- http://hdl.handle.net/10353/385
- Identifier
- http://hdl.handle.net/10353/d1001135
- Identifier
- Statistics -- Econometric models
- Identifier
- Survival analysis (Biometry)
- Identifier
- Mathematical statistics -- Data processing
- Identifier
- Nonparametric statistics
- Identifier
- Sampling (Statistics)
- Identifier
- Multiple imputation (Statistics)
- Description
- There has been an increasing interest in survival analysis with interval-censored data, where the event of interest (such as infection with a disease) is not observed exactly but only known to happen between two examination times. However, because so much research has been focused on right-censored data, so many statistical tests and techniques are available for right-censoring methods, hence interval-censoring methods are not as abundant as those for right-censored data. In this study, right-censoring methods are used to fit a proportional hazards model to some interval-censored data. Transformation of the interval-censored observations was done using a method called mid-point imputation, a method which assumes that an event occurs at some midpoint of its recorded interval. Results obtained gave conservative regression estimates but a comparison with the conventional methods showed that the estimates were not significantly different. However, the censoring mechanism and interval lengths should be given serious consideration before deciding on using mid-point imputation on interval-censored data.
- Format
- 83 leaves; 30 cm
- Format
- Publisher
- University of Fort Hare
- Publisher
- Faculty of Science & Agriculture
- Language
- English
- Rights
- University of Fort Hare
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UFH Department of Statistics
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