Regression models for estimating survival of patients with non-Hodgkin's Lymphoma

The life-table method is used for estimating the survivorship of 989 patients treated for non-Hodgkin's Lymphoma at King Faisal Specialist Hospital and Research Center in Riyadh, Saudi Arabia. Estimates of various survival measures and their standard errors are obtained. Then, four common proba...

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Bibliographic Details
Published inMicroelectronics and reliability Vol. 31; no. 2; pp. 473 - 480
Main Authors Alidrisi, Mustafa, Abed, Seraj, Ozkul, Osman, El-Assouli, Sufian, Amer, Majed, Saber, Ahmad
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 1991
Elsevier
Subjects
Applied sciences
Electronics
Exact sciences and technology
Testing, measurement, noise and reliability
Probability density function
Error
Probability law
Regression model
Survivor
Estimation
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Summary:The life-table method is used for estimating the survivorship of 989 patients treated for non-Hodgkin's Lymphoma at King Faisal Specialist Hospital and Research Center in Riyadh, Saudi Arabia. Estimates of various survival measures and their standard errors are obtained. Then, four common probability distributions namely; the exponential, Weibull, Gompertz, and the linear hazard are used to estimate the survivorship function, hazard function and the probability density function. Comparison between the log-likelihood values for the estimated data is also made to choose the best fitting model.
ISSN:0026-2714
1872-941X
DOI:10.1016/0026-2714(91)90233-W