Abstract
Objective: To explore multiple myeloma cancer survival data using the Exponential-Lindley model and compare the performance with other related models. Methods: In this article both simulated and real data sets were used for comparison. The model parameters are estimated for real and simulated data sets using the maximum likelihood method. The real data sets consist of 48 Cancer patients with multiple myeloma with 25% of them was censored observations. We consider both type I and type II censoring mechanism with 5%, 10% and 20% censoring. The performance was compared using three measures Deviance, AIC and BIC. Findings: The performance of Exponential-Lindley model was compared with related models Exponential, Lindley, Power Lindley, Gamma, and Burr-XII models. Simulated and real data sets are applied in the underlying models. The Exponential-Lindley model outperformed compared to other models. Novelty: The new model is novel alternative for modelling censored survival data for different levels and types of censoring. Keywords: Cancer survival; Censoring; Simulation; ExpG family; Exponential Lindley Model
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