A comparison between Kaplan-Meier and weighted Kaplan-Meier methods of five-year survival estimation of patients with gastric cancer
The 5-year survival rate is a good prognostic indicator for patients with Gastric cancer that is
usually estimated based on Kaplan-Meier. In situations where censored observations are …
usually estimated based on Kaplan-Meier. In situations where censored observations are …
Applying survival analysis to estimate survival time in gastric cancer patients
J Yazdani, S Sadeghi, GH Janbabaei… - … University of Medical …, 2011 - jmums.mazums.ac.ir
Background and purpose: Due to the difficulty of diagnosis, esophageal and gastric cancers
have a special position in Mazandaran Province. Ïn this province, gastric cancer is …
have a special position in Mazandaran Province. Ïn this province, gastric cancer is …
Survival analysis of gastric cancer patients refering to Emam-Khomeini hospital using Weibull cure model.
Background: Due to its high prevalence, the survey on gastric cancer survival in Iran seems
too important. In the case of relative long-term survival of the cases, using standard models …
too important. In the case of relative long-term survival of the cases, using standard models …
Survival rates and prognosis of gastric cancer using an actuarial life-table method
B Moghimi-Dehkordi, A Safaee… - Asian Pac J Cancer Prev, 2008 - journal.waocp.org
Background and aims: The aim of this study was to calculate survival rates and analyze
patterns of survivalin gastric cancer. Methods: A total number of 746 patients with gastric …
patterns of survivalin gastric cancer. Methods: A total number of 746 patients with gastric …
[PDF][PDF] Assessment of risk factors affecting recurrence of patients with gastric cancer in the presence of informative censoring in Iran
G Roshanaei, A Kazemnejad… - Asian Pac J Cancer Prev, 2011 - researchgate.net
Background: In some survival studies, several events are taken into consideration. If the
events are independent then the ordinary methods such as Kaplan-Meier, Cox or parametric …
events are independent then the ordinary methods such as Kaplan-Meier, Cox or parametric …
[HTML][HTML] A comparison between accelerated failure-time and Cox proportional hazard models in analyzing the survival of gastric cancer patients
Z Ali, M Hosseini, M Mahmoodi… - Iranian journal of …, 2015 - ncbi.nlm.nih.gov
Background: Gastric cancer is the one of the most prevalent reason of cancer-related death
in the world. Survival of patients after surgery involves identifying risk factors. There are …
in the world. Survival of patients after surgery involves identifying risk factors. There are …
[PDF][PDF] Parametric model evaluation in examining the survival of gastric cancer patients andits influencing factors
Background: Cox proportional hazard model is the most common technique to analysis the
variables effect on survival time, but under certain circumstances, parametric models may …
variables effect on survival time, but under certain circumstances, parametric models may …
Evaluation of parametric and semi-parametric models in survival analysis of patients with gastric cancer
S Ghorbani Gholiabad… - … of Medical Sciences, 2014 - jmums.mazums.ac.ir
Background and purpose: One of the most common methods used to estimate the effects of
explanatory variables on survival time, is Cox semi parametric model. However, under …
explanatory variables on survival time, is Cox semi parametric model. However, under …
Survival estimating following recurrence in gastric cancer patients and its relative factors.
Introduction: Gastric cancer (GC) is one of the most common cancers in the world. Despite of
improvements in cancer treatment, survival rate of these patients is low. There are various …
improvements in cancer treatment, survival rate of these patients is low. There are various …
Applying parametric models for survival analysis of gastric cancer
A Rajaeefard, B Moghimi Dehkordi… - Feyz Medical …, 2009 - feyz.kaums.ac.ir
Background: Cox Proportional Hazard model is the most popular tool to analyze the effects
of covariates on survival time, although under certain circumstances parametric models may …
of covariates on survival time, although under certain circumstances parametric models may …
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