Exponentiated exponential models for survival data

Venkatesan, P and Sundaram, N (2011) Exponentiated exponential models for survival data. Indian Journal of Science and Technology, 4 (8). pp. 923-930. ISSN Print 0974-6846 | Eelectronic 0974-5645

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Abstract

The Exponentiated Exponential (EE) model serves as an alternative to Exponential, Weibull and Gamma models. It is observed that EE model has been used in the analysis of complete life time data. In this paper an attempt has been made to study the modeling of censored survival data and the results are compared with other models. Log Likelihood ratio statistic and Cox-Snell residuals are used for the comparisons. The EE model performs better than Exponential and Weibull models. We also fitted Log-logistic model and compared with other models based on Baysian information criterion (BIC) and an information criterion (AIC). The Log-logistic model also performs better than the above models in situations when the censoring is at low level.

Affiliation:	ICMR-National Institute for Research in Tuberculosis
Item Type:	Article
Uncontrolled Keywords:	EE model; hazard function; life time data; survival function; Weibull model
Subjects:	Tuberculosis > Biostatistics
Divisions:	Statistics
Depositing User:	Dr. Rathinasabapati R
Date Deposited:	20 Jun 2022 11:10
Last Modified:	20 Jun 2022 11:10
URI:	http://eprints.nirt.res.in/id/eprint/1107

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