Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Analysis of clustered competing risks with application to a multicentre clinical trial
The usefulness of time-to-event (survival) analysis has made it gain a wide applicability in statistically modelling research. The methodological developments of time-to-event analysis that have been widely adopted are: (i) The Kaplan-Meier method, for estimating the survival function; (ii) The log-...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Statistical Sciences
2017
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Analysis of clustered competing risks with application to a multicentre clinical trial
- A theoretical and empirical comparison of various statistical techniques as applied to a multicentre dataset
- Techniques for handling clustered binary data
- Discriminant analysis : a review of its application to the classificationof grape cultivars
- Time series analysis of count data with an application to the incidence of cholera
- Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset
- Sensitivity analysis approaches for incomplete longitudinal data in a multi-centre clinical trial