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Authors of [8] apply a two-stage scheme to identify age based on regression analysis.
Our goal was to identify age groups associated earliest with seasonal influenza activity and who may have the greatest indirect impact at the population level.
In a study by Moore et al., the authors utilized the NSQIP database to identify age, presence of comorbidities, and emergency surgery as risk factors that were predictive of sepsis in the general surgery population [31].
Analysis of electromyography (EMG) signals can identify age related changes of neuromuscular activation due to various neuropathies and myopathies, but it is difficult to translate these medical changes to clinical diagnosis.
Going beyond previous work that largely examined young male participants, our study comprised young and older men and women to identify age and sex variations in oxytocin's central processes.
Cohort, case control and cross-sectional observational studies identify age and other putative risk factors and quantify their impact on disease occurrence by estimating relative risks and odds ratios.
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Should a second grader be able to "use proper names for body parts, including male and female anatomy?" Should a fifth grader be able to define H.I.V., and identify "age-appropriate" methods of transmission and preventing transmission?
These distinctions were made to identify age-associated risk factors, injury trends, and provide targeted falls prevention recommendations.
The study aim was to identify age-related changes in EEG characteristics that mirror different stages of early human brain development during sevoflurane anaesthesia.
The main purpose of this study was to identify age-related socioeconomic and clinical determinants of quality of life among breast cancer survivors five years after the diagnosis.
To identify age-stratified normal light sensitivity values for microperimetry (fundus perimetry) and to evaluate the short-term repeatability of the MP1 microperimeter in normal volunteers.
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