Sentence examples for models with death from inspiring English sources

Cumulative incidence models with death as a competing risk were evaluated.

In addition, we found no association between short-term PTH change in models stratified by baseline PTH level or in models with death evaluated as an outcome.

Trends in relative inequalities were tested using Poisson regression models with death count as the outcome variable, person-years as the exposure variable, and year, educational level, and the interaction term education by year as covariates.

We developed two logistic regression models with death in hospital as the response variable and with a binary weekend admission variable whilst controlling for the covariates shown in Table 1.

We also examined cause-specific Cox proportional hazard models, with death censored and adjusting for the same covariates as included in the competing risks regression analyses, to provide a more complete understanding of the association between corticosteroid use and time until diabetes complication (22).

The joint survival model with death as the time-to-event outcome was defined by a two parameter Weibull distribution with class-specific proportional hazards.

All clinical indicators that were significant in the univariate analysis were included in the model, with death as the dependent variable.

Using the derivation group, we ran a binary logistic regression model with death in hospital as the outcome and the KP-IRAM estimated risk as the adjusting covariate.

To obtain mortality risk in the general population we ran a logistic model with death as the dependent variable and age and sex as the independent variables.

Statin non-adherence was assessed as a competing-risk Cox proportional hazards model with death as the competing risk to statin non-adherence and time since index MI as the entry point into the model.

In a logistic regression model with death as the dependent variable and hyponatremia and coma (GCS < 11) as independent variables, hyponatremia was not independently associated with outcome (OR, 0.54; 95% CI, 0.28 1.06; P = 0.07), but coma remained a strong associate (OR, 5.8; 95% CI, 2.1 15.9; P = 0.001).