The specific nature of credit loan data requires the use mixture cure models within class survival analysis tools. constructed allow for competing risks such as early repayment and default, incorporating maturity, expressed an unsusceptible part population. A novel further extension incorporates unobserved heterogeneity risk groups. hierarchical expectation-maximization algorithm is derived to ...

depth of cure of composite material is restricted and it depends on many parameters such as thickness. the aim of this in-vitro study was to evaluate the depth of cure of two light-cured core build-up composites (quixfil and photocore) in different thicknesses, when cured for 60 seconds.the vickers microhardness measurements were made for each side of the top irradiated surfaces of 1,2,3,4,5,6,...

statement of problem: for many years, application of the composite restoration with a thickness less than 2 mm for achieving the minimum polymerization contraction and stress has been accepted as a principle. but through the recent development in dental material a group of resin based composites (rbcs) called bulk fill is introduced whose producers claim the possibility of achieving a good rest...

Cure rate models explicitly account for the survival fraction in failure time data. When the covariates are measured with errors, naively treating mismeasured covariates as error-free would cause estimation bias and thus lead to incorrect inference. Under the proportional hazards cure model, we propose a corrected score approach as well as its generalization, and implement a transformation on t...

We extend the Dahlberg and Wang (Biometrics 2007, 63, 1237-1244) proportional hazards (PH) cure model for the analysis of time-to-event data that is subject to a cure rate with masked event to a setting where the PH assumption does not hold. Assuming an accelerated failure time (AFT) model with unspecified error distribution for the time to the event of interest, we propose rank-based estimatin...