The objective of this study is to determine the significant predictors of endometrial cancer using accelerated failure time models (AFTM). We have demonstrated the applications of AFTM viz. Exponential, Weibull, Log-normal, Log-logistic, Gompertz, Gamma and Generalized Gamma AFTM, as an alternative of Cox proportional hazard model. Data for the analysis was collected from Acharya Harihar Post Graduate Institute of Cancer (AHPGIC), Cuttack, Odisha during the period 2016–20. Based on the lowest Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) value, the Weibull AFTM has been chosen as the best fitted AFT model. The predictors such as age, comorbidity, tumor size, isolated para-aortic and adnexa have been found as significant predictors (p-value < 0.05) to explain the survival of endometrial cancer patients. Hence, by optimizing different treatments, based on such prognostic factors plays an important role in managing endometrial cancer at an early stage.

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Background: According to National Family Health Survey (NFHS) report (round 5), under five child mortality rate is 42 per 1000 live births which is far behind the sustainable development goal and National Health Policy, 2017. This research work aims to investigate the socio-demographic and environmental risk factors associated with child mortality between age 0-59 months in India. Methods: To analyse the objective of this study secondary data of NFHS round 5 are used. NFHS is a large scale, multi-rounds survey conducted by ministry of Health and Family Welfare (MoHFW) with the collaboration of International Institute for Population Sciences (IIPS), Mumbai. Cox regression model is used for the statistical analysis and the data analysis work is carried out using R software. Results: The research found that mortality rate is higher among mother’s age less than 20 years and mother’s having no education. In rural areas mortality rate is high compared to urban residence. Birth order of child more than 6 has 2.0966 times higher risk to die and the male child is more likely die than the female. Children born to family having richest wealth index (HR=0.6550, CI: 0.5856-0.7327) has the least mortality rate. Use of polluting cooking fuel and unimproved sanitation facility increase death risk on under-five mortality 1.1334 times and 1.0905 times respectively. Conclusions: The study found a strong influence of socio-demographic and environmental factors on child mortality under the age of five.