Model. The primary exposure variable was a time­varying covariate that indicated whether a beneficiary had expe­ rienced an interruption of Medicaid coverage in the prior month. Confounders adjusted for in the model included demographic characteristics, type of Medicaid coverage (ie, Temporary Assistance to Needy Families [TANF], Supple­ mental Security Income [SSI], or other), non­Medicaid for...

in this paper, the cox proportional hazard model is used to answer several questions. in general, fourteen variables are applied in four groups: firm, industry, expenditure human resources specific characteristics as well. according to the previous literature in this field, the findings of this paper also show that the factors which affect life duration of firms are different between industries...

This paper explores confidence intervals for the family of proportional reversed hazard distributions based on lower record values. The proposed procedure can be extended to the family of proportional hazard distributions based on upper record values. Numerical results show that the method is promising.

In this paper we consider a parametric Weibull mixture cure model for modeling time to default on a personal loan portfolio in presence of disproportionate hazard rate. The main contribution of this paper is to evidence that mixture cure models are appropriate for non proportional sceneries, which has not been claimed in recent articles that brings survival analysis approach for credit scoring ...