Sentence examples for evaluate the generalizability from inspiring English sources

To evaluate the generalizability of recently developed clinical prediction rules for the prognosis of shoulder pain in general practice.

Objective: To evaluate the generalizability of randomized controlled trial (RCT) data to obstetric practice, using the example of β-blocker therapy.

Future research is needed to confirm the validity of these findings and evaluate the generalizability of these effects across patients and settings.

Modeling techniques are routinely applied to gain information on clinical effectiveness (e.g. if long-term data are absent), as part of the cost-effectiveness analysis, and to evaluate the generalizability of study results (external validity).

Future research should evaluate the generalizability of the COPS in different samples, its responsiveness to treatment, and the extent to which pain centrality may be a focus of nonpharmacologic interventions for chronic pain.

To describe study design, patients, centers, treatments, and outcomes of a traumatic brain injury (TBI) practice-based evidence (PBE) study and to evaluate the generalizability of the findings to the U.S. TBI inpatient rehabilitation population.

The current study evaluates the generalizability of the CPR for SMT to a CLBP population.

Probably the major consideration in evaluating the generalizability of findings is the realism of the sucrose levels used in interventions.

Calabrese and co-workers also evaluated the generalizability of the hormetic response in published literature (Calabrese and Baldwin 1997, 2001a; Calabrese and Blain 2005; Calabrese et al. 1999).

In addition, information about non-participants is crucial for interpreting the results of cessation trials and evaluating the generalizability and external validity of the findings, as well as the feasibility of this telephone-based smoking cessation program [ 24].

We evaluated the generalizability of the results obtained on the TCGA data using publicly available gene expression datasets (Table  2) to assess the transcriptional diversity of basal-like (n = 403), HER2-enriched (n = 171), luminal A (n = 515) and luminal B (n = 210) breast cancers.