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A Comparison between Accelerated Failure-time and Cox Proportional Hazard Models in Analyzing the Survival of Gastric Cancer Patients

Iranian journal of public health, August 2015, Vol.44(8), pp.1095-102 [Peer Reviewed Journal]

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A Comparison between Kaplan-Meier and Weighted Kaplan-Meier Methods of Five-Year Survival Estimation of Patients with Gastric Cancer

Acta Medica Iranica, 2014, Vol.52(10), pp.764-7 [Peer Reviewed Journal]

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Assessing Markov and time homogeneity assumptions in multi-state models: application in patients with gastric cancer undergoing surgery in the Iran cancer institute

Asian Pacific journal of cancer prevention : APJCP, 2014, Vol.15(1), pp.441-7 [Peer Reviewed Journal]

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Assessing misdiagnosis of relapse in patients with gastric cancer in Iran cancer institute based on a hidden Markov multi-state model

Asian Pacific journal of cancer prevention : APJCP, 2014, Vol.15(9), pp.4109-15 [Peer Reviewed Journal]

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Comparison between parametric and semi-parametric cox models in modeling transition rates of a multi-state model: application in patients with gastric cancer undergoing surgery at the Iran cancer institute

Asian Pacific journal of cancer prevention : APJCP, January 2014, Vol.14(11), pp.6751-5 [Peer Reviewed Journal]

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Factors Affecting the Survival of Patients with Gastric Cancer Undergone Surgery at Iran Cancer Institute: Univariate and Multivariate Analyses

Iranian journal of public health, June 2014, Vol.43(6), pp.800-8 [Peer Reviewed Journal]

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Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012.

Iranian journal of public health, May 2014, Vol.43(5), pp.621-629 [Peer Reviewed Journal]

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Survival analysis of patients with gastric cancer undergoing surgery at the iran cancer institute: a method based on multi-state models

Asian Pacific journal of cancer prevention : APJCP, 2013, Vol.14(11), pp.6369-73 [Peer Reviewed Journal]

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by this Author/Contributor:

  1. Mahmoodi, Mahmood
  2. Mahmoodi, M.
  3. Zeraati, H.
  4. Mohammad, Kazem
  5. Hosseini, M

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