Sentence examples for imprecise outcome from inspiring English sources

Exact(2)

Several problems were identified, including clinician dissatisfaction over the way CQUIN goals were developed, and unclear and imprecise outcome measures, which emphasised processes rather than clinical outcomes.

However, methodologically weaker RCTs (for example, those with small numbers of participants, low and differential retention rates, imprecise outcome measures and lack of attention to allocation concealment) should not necessarily "trump" methodologically stronger observational studies [ 20].

Similar(58)

This random measurement error of the outcome, however, may be reflected in imprecise effect estimates.

Response rate is not an accepted surrogate for these time-dependent outcomes, because response, particularly as defined by conventional CT criteria, is an imprecise predictor of outcome.

All eight studies had one or more limitation including imprecise exposure and outcome assessment, low statistical power or potentially serious biases.

Precise utility models cannot reflect vagueness of preferences, vagueness of objective conditions and outcomes, imprecise beliefs, etc.

Brief comparisons with corresponding cohorts are often presented in discussion sections of papers (e. g. [ 11, 12]), and are often unsystematic (limited to selected studies) and imprecise (mixing different outcomes and follow-up periods).

Although clinical results after HTO often are encouraging some factors associated with a poor long-term outcome such as imprecise osteotomy or loss of the primary correction angle due to poor primary fixation stability of the implant (Spahn et al. 2006; Pornrattanamaneewong et al. 2012).

The variability in reported outcomes across trials, increased cost, and imprecise estimates of their effect led to a recommendation against the use of bosentan or macitentan for the treatment of IPF.

The quality of evidence was based on five domains: limitations of the study design, inconsistency, indirectness (inability to generalise), imprecision (insufficient or imprecise data) of results and publication bias across all studies that measure that particular outcome.

It can be shown that the outcomes tolerate the imprecise circumstances, as one of advantages regarding the fuzzy-based approach.

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