Journal article

Hypertabastic survival model.

Tabatabai M, Bursac Z, Williams D, Singh K ...see all

Theoretical biology & medical modelling, vol. 4 (2007) p. 40

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Abstract

A new two-parameter probability distribution called hypertabastic is introduced to model the survival or time-to-event data. A simulation study was carried out to evaluate the performance of the hypertabastic distribution in comparison with popular distributions. We then demonstrate the application of the hypertabastic survival model by applying it to data from two motivating studies. The first one demonstrates the proportional hazards version of the model by applying it to a data set from multiple myeloma study. The second one demonstrates an accelerated failure time version of the model by applying it to data from a randomized study of glioma patients who underwent radiotherapy treatment with and without radiosensitizer misonidazole. Based on the results from the simulation study and two applications, the proposed model shows to be a flexible and promising alternative to practitioners in this field.

Author-supplied keywords

  • Brain Neoplasms
  • Brain Neoplasms: mortality
  • Computer Simulation
  • Glioma
  • Glioma: mortality
  • Humans
  • Multiple Myeloma
  • Multiple Myeloma: mortality
  • Proportional Hazards Models
  • Randomized Controlled Trials as Topic
  • Randomized Controlled Trials as Topic: statistics
  • Risk Factors

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Authors

  • Mohammad A Tabatabai

  • Zoran Bursac

  • David K Williams

  • Karan P Singh

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