Ai Feedback
Exact(6)
To evaluate differences in standardized SF-36 scores between frailty groups, we used a multiple regression model with frailty variables.
We have described a multistate model with frailty terms to account for heterogeneity between clusters on each transition.
The Cox proportional model with frailty showed that male gender, older patient, great number of diagnoses and pneumonia increased the hazard of HIV related hospital mortality.
In order to take into account the heterogeneity of the population due to the fact data come from different ICUs, we simply model the transition intensities by a proportional intensities model with frailty.
Results obtained by fitting the Cox-proportional hazard model with frailty effects and drawing inference using both the frequentists and Bayesian approaches at 5%% significance level, show evidence of the existence of unobserved heterogeneity at the household level but there was not enough evidence to conclude the existence of unobserved heterogeneity at the community level.
In the model without frailty, it was possible to include a finer calendar period division, 12-period variables of 3 years each (1971 1973, 1974 1976…), while in the model with frailty, for computational reasons, the number of variables was reduced to two broader periods: 1971 1990 and 1991 2007.
Similar(54)
Fitting a Cox proportional hazards model with frailties confirmed a significantly earlier time of appearance (hazard ratio (HR): 2.6; 95% CI: 2.3 3.0), dominance (4.8 (3.4 6.8)), and completeness (3.6 (2.3 5.5)) of reverse mutations to the wild type Gag than escape mutations from the wild type.
For both models, we first used a model with frailties for each ICU but without covariates (null model).
AIC indicates that the models with frailty fit the data significantly better than the models without.
Cox proportional hazard models with frailty terms were used for the statistical analysis of risk factors.
In the majority of cases, the models without frailty estimated a smaller educational gradient than the models with frailty.
Related(18)
sample with frailty
models with frailty
model with visible
model with enormous
model with partial
model with few
model with potential
model with military
model with black
model with many
model with dual
model with smudged
model with relative
model with comparable
model with stunning
model with deficiency
modelled with frailty
model with sensitivity
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com