Joint Modelling Of Longitudinal and Survival Data in Presence of Cure Fraction with Application to Cancer Patients’ Data
Analyses involving longitudinal and time-to-event data are quite common in medical research. The primary goal of such studies to simultaneously study the effect of treatment on both the longitudinal covariate and survival. Often in medical research, there are settings in which it is meaningful to...
Saved in:
Main Author: | Salah, Khalid Ali |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2008
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/5122/1/FS_2008_19.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Use of Split Exponential and Split Weibull Analyse Survival Data With Long Term Survivors
by: Rahmatina, Desi
Published: (2005) -
Parametric and nonparametric inference for partly interval-censored failure time data
by: Mohammad Alharpy, Azzah
Published: (2013) -
Confidence intervals in survival analysis /
by: Tan, Shay Kee
Published: (2010) -
Robust approach to parameter estimation of right censored data /
by: Rossita Mohamad Yunus
Published: (2002) -
Detecting outliers and influential observations in survival model /
by: Nor Akmal Md. Noh
Published: (2010)