Sentence examples for variable survival models from inspiring English sources

Exact(3)

For each tested variable, survival models for all three segmentation algorithms were of similar quality, exhibiting comparable AIC values with overlapping 95% CIs.

For each tested variable, survival models for all three segmentation algorithms had comparable AIC values with overlapping 95% CIs showing equivalent fit to the data (Table 3).

Since the primary endpoint is a censored failure time variable, survival models adapted for clustered data will be applied [ 51].

Similar(57)

selected in at least 50% of the runs were included in the final models We used logistic regression models for dichotomous outcome variables and survival models for outcomes expressed in terms of survival times.

This study demonstrated the pre-eminence of developing multi-gene prognostic indices of glioblastoma survival through the integration of variable selection and survival models relative to the simple-yet simplistic single-gene analysis.

There were 1029 cases (38%) which were complete in the variables used in the primary analysis and also had observations for fitness, depression and anxiety at the end of the programme, allowing us to assess the impact of changes in these variables on survival (model B).

We therefore used a method (Shin et al. 2014) to mathematically adjust our HRs by examining the relationship between these missing risk factors and air pollution in an ancillary data set that did include information on smoking and obesity as well as the other variables included in our survival models.

This method requires estimates of the multivariate linear association between the variables in the survival model and the variables we indirectly adjusted for.

When adding otitis as a fixed variable to the survival model, no association with mortality could be demonstrated, as was the case in a previous study on dairy heifers with otitis [ 12].

The final multivariate logistic regression (diagnosis) and Cox (survival) models included variables with p < 0.05.

Adding both of these variables in turn into the survival models did not change the HRs substantially, although incomplete data led to wider CIs.

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