Sentence examples for removal to identify from inspiring English sources

Further studies are underway to investigate the mechanism and extent of reticulocyte removal to identify possible interventions to reduce the risk of SMA development.

Given the exploratory nature of the last step, variables in the final step were entered in a stepwise fashion with backwards removal to identify an optimally fitting model.

We then performed a forward stepwise algorithm with P = 0.10 for inclusion and removal to identify possible confounding factors including clinical and biochemical covariates at enrolment, drug use during follow-up period (See table 1 for a list of candidate covariates) and years of enrolment.

The purpose of this study was to estimate the frequency of retained ballistic fragment (RBF) removal and to identify factors associated with an increased risk for RBF removal.

Therefore, the aim of this study was to determine the outcomes of patients with intravascular catheters that were colonized with Gram-negative micro-organisms, without positive blood cultures in a 48-h period before catheter removal, and to identify the risk factors for the development of a subsequent bacteremia.

Patients are regularly assessed using MEG, following surgery for removal of lesions, to identify both normal and abnormal brain tissue.

Four methods for surface oxide removal were evaluated to identify an effective protocol for surface cleaning.

Backward selection procedure was used, with removal criterion P>0.10, to identify a subclass of significant clinical variables.

A backward stepwise procedure with a p-value of 5% for removal was used to identify significant factors to remain in the final multivariate model.

A backward stepwise procedure, with a p-value of 5% for removal, was used to identify significant factors that remained in the final multivariate model.

We used multivariable Cox proportional hazards model using the backward likelihood ratio method (P value for entry was <0.05; P value for removal was >0.1) to identify independent predictors of all-cause mortality from candidate predictor variables.