Sentence examples for models using patient from inspiring English sources

We hypothesized that statistical models using patient preoperative characteristics could prospectively provide risk estimates of postoperative adverse events comparable to risk estimates provided by experienced surgeons, and could be useful for stratifying preoperative assessment of patient risk.

We show that performance of models using patient subgroups based upon DRGs is also variable.

To do so, we constructed prediction models using patient characteristics and then evaluated whether the prediction changed after adding results from L/S ratio and LBC.

A further sensitivity analysis was performed using a mixed effects model with all available patient data at each time point and the same covariates as the linear mixed-effect models, using patient data included in the final analysis.

To test the hypothesis that spatially selective corneal stromal stiffening can alter corneal astigmatism and assess the effects of treatment orientation, pattern, and material model complexity in computational models using patient-specific geometries.

In vitro models using patient-derived cells are currently emerging to study neuropathologies and test possible treatments, as the in vitro system is more scalable, controllable and cheaper.

Owing to many limitations of animal disease models, in vitro neuronal models using patient-derived stem cells are currently being developed.

Recently, orthotopic GBM xenograft animal models using patient-derived GBM cells have been utilized to test newly developed therapeutic agents of GBMs [ 13].

We also attempted to adjust for patients' baseline characteristics, health conditions, and institutional characteristics in the regression models using patient-level information available in the insurance claims records as much as possible.

To summarize, although all six models produced unbiased point estimates, the fixed- and mixed-effects models using patient-level data provided the most accurate estimates of the standard error of β ^ 1 given large ICC values, hence should be used in the analysis of multicentre trials when the ICC was nontrivial or unknown to control type I and type II error rates.

Results of this simulation study showed that, when the proportion of patients allocated to the experimental treatment was the same in each centre or subject to chance imbalance only, models using patient-level and centre-level data yielded unbiased point estimates of treatment effect across a wide spectrum of ICC values.