Sentence examples for model survival from inspiring English sources

The empirical study, employing the hazard model (survival analysis) to analyze the determinants of migration duration of male Mexican migrants in the US, supports my hypotheses.

This article outlines flexible strategies to model survival curves for censored data and find parametric confidence intervals using generalised lambda distributions.

Censored model   Survival rate Change versus baseline   12 months 24 months 12 months 24 months Overall 42.9 65.7 17.4 14.5 Education    Primary or less 47.6 67.8 19.2 16.0    Secondary, 1st st.

A proportional hazards model (Cox model) was used to model survival times, where vaccinating strains were compared for boost effect and vaccine vs. control effect [21].

The drop in relative viability increased to nearly fifty fold after 26 days, and after 35 days in the Wayne model survival of the mutant was ∼75-fold less than the wild-type strain.

It was necessary to model survival over 12 months using data for the first 28 days following the trauma and different statistical models will produce different estimates of benefit.

As Jeff Levin, one of the book's editors, writes in the prologue: "Religion is just more grist for the mill of structural-equation models, survival analyses, logistic regressions and the like".

The additive hazards model, which is well known in the literature, has played a prominent role in modeling survival data.

They are the back bone of every parametric statistical method, including inference, modeling, survival, reliability, and others.

Comparison of the relative predictive value of the best kinetic predictor identified using the Model data set with that of previously reported predictors of MTX resistance, using ROC curves and multivariate statistics (logistic regression; Cox-model survival test) in a combined data set, called the multivariate analysis data set, comprising model and test patients that had all required data.

Clinicians have long been interested in estimating and modeling survival in patients with metastatic cancer.