2 天前 - … estimation methods for shared frailty models via a series of simulation studies. A
shared frailty model is a survival model that … the precision of the parameter estimates in terms of …

3 天前 - … model is a nonparametric example of a survival model there are examples of parametric
models … Solutions for semi-Markov model are typically solved by parametric estimation …

3 天前 - … Flexible parametric survival models were used to estimate excess mortality risk
and mean loss of life expectancy (LOLE) depending on index year, age, sex, and LVEF, and …

3 天前 - … the estimated length of recovery of Covid-19 patients. In this study, survival analysis
of Covid-… The best Proportional Hazard model parameter estimation results are presented in …

3 天前 - … The coefficients of variation for survival times of families within … model, the genetic
parameters were estimated to be between 0.345±0.031 and 0.378±0.029 using the survival …

4 天前 - … model integrates lactate metabolism and hypoxia parameters, offering predictive
insights regarding survival… reference transcriptome information to estimate the proportion of 22 …

4 天前 - … , drawing from the laws of mortality to formulate its survival function. It … Estimation
In this subsection, we have shown the CMIG model’s MLE approach for parameter estimation…

4 天前 - … are crucial, not only for survival, growth, and efficiency but … The PSTR model, a
non-linear threshold regression model … the challenge of heterogeneous estimated parameters. …

4 天前 - … of survival analysis by adopting a Weibull-Fréchet distribution within the framework
of the Cox Proportional Hazard (PH) model. … model framework and estimated the parameters …

5 天前 - … the survival function, hazard rate, and neutrosophic moments. In addition, the
neutrosophic parameters are estimated using the popular maximum likelihood estimation …