TY  - BOOK
AU  - Phoebe Magdy Abdelmassieh Metias 
AU  - Amany Mousa Mohamed  , 
AU  - Eman Hassan Anwar  Aboulezz  , 
TI  - Evaluation of Statistical Methods used in the Analysis of  Competing Risks- In the Oro-Dental Field / 
PY  - 2014///
CY  - Cairo : 
PB  - Phoebe Magdy Abdelmassieh Metias  , 
KW  - Competing risk
KW  - Cumulative incidence
KW  - Kaplan-Meier curve
N1  - Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics; Issued also as CD
N2  - A topic that has received attention in both the statistical and  medical literature is the estimation of the probability of failure for  endpoints that are subject to competing risks. Methods of standard  survival analysis such as the complement of Kaplan-Meier (KM) for  estimation of cumulative incidence curves (1-KM), the log-rank test for  comparison of these curves, and the standard Cox model for the  assessment of covariates, are still used by medical researchers, however  lead to biased and un interpretable results when an analysis focuses  time-to-first event in scenarios where there are competing events. In  thesis these standard survival methods are compared with other  alternative methods as the cumulative incidence competing risks (CICR)  curves, the Gray's test for comparing these curves, and the competing  risks regression model (CRR).The data used included 348 patients with  primary cancer of the oral cavity diagnosed at Tanta cancer center (TCC)  during the period 2003-2007, data were analyzed using R program. The  main aim is to attract the attention of medical researchers to use the  appropriate statistical technique according to the nature of the available  taking into consideration the presence of the competing risks. The  Results showed that the incidence of each main outcome was  overestimated by the standard methods
UR  - http://172.23.153.220/th.pdf
ER  -