Sentence examples for models with duration from inspiring English sources

The association between metformin and cancer was analyzed using Cox proportional hazards models, with duration of cumulative drug use as a time-varying determinant, as described earlier (22).

The association between insulin and cancer was analysed using Cox proportional hazard models with duration of cumulative drug use as a time-varying determinant, as described by Stricker and Stijnen [ 38].

Concerning the ABG II model, with Duration highly crosslinked polyethylene, it has shown much lower wear rates and osteolityc lesions have been significantly less frequent.

The percentages of GADA- and IA-2A positive IA-2A positivemodeled with duration asubjectsntinuous independent variable using a modified spline.

To measure if duration of index surgery could confound the total attributable costs of SSI recognized after hospital discharge, we used a matched linear regression model with duration of index surgery and SSI as predictors for log-transformed total costs.

Study designs other than the prospective cohort study and risk prediction models other than the Cox proportional hazards model with duration of time in the study as the time scale have also been considered.

The regressors were modeled with durations of 14 seconds and convolved with a two-gamma model of the hemodynamic response function (HRF).

We achieved a better model fit using an indicator variable for heat waves rather than the duration variable when studying all ages; nevertheless, models with the duration variable performed better than the models without additional heat wave components, and similarly well in the age group 45 79 years of age.

The association between the risk of cancer in those using metformin compared with those using sulfonylurea derivatives was analyzed using Cox proportional hazard models with cumulative duration of drug use as a time-varying determinant.

In a cohort of incident users of insulin, the association between insulin glargine and other insulin analogues, respectively, and cancer was analysed in comparison with human insulin using Cox proportional hazard models with cumulative duration of drug use as a time-varying determinant.

Because larvae are not passive particles, integrating behavioral data, seasonal information and oceanographic models with larval durations is likely to increase the explanatory power of larval life histories and genetic differentiation among species.