Results 211 to 220 of about 354,905 (255)
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
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2017
A threat to external validity is any factor that limits the generalizability of an observed result. Unlike all threats to statistical conclusion and internal validities and some threats to construct validity, threats to external validity cannot ordinarily be controlled by design.
Richard McCleary +2 more
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A threat to external validity is any factor that limits the generalizability of an observed result. Unlike all threats to statistical conclusion and internal validities and some threats to construct validity, threats to external validity cannot ordinarily be controlled by design.
Richard McCleary +2 more
+5 more sources
Journal of Consumer Research, 1983
s it is usually phrased, the question of external validity has to do with whether the results of a behavioral study would hold for other persons, settings, times, or places. Consistent with the original notions of Campbell and Stanley (1966) and Cook and Campbell (1977), we have argued that this concept of external validity is relatively less ...
Calder, Bobby J +2 more
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s it is usually phrased, the question of external validity has to do with whether the results of a behavioral study would hold for other persons, settings, times, or places. Consistent with the original notions of Campbell and Stanley (1966) and Cook and Campbell (1977), we have argued that this concept of external validity is relatively less ...
Calder, Bobby J +2 more
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The Concept of External Validity
Journal of Consumer Research, 1982Many researchers feel that external validity must be emphasized even in theoretical research. The argument for both a sophisticated and a common sense version of this contention is refuted in this paper. It is concluded that the very nature of progress in theoretical research argues against attempting to maximize external validity in the context of any
Calder, Bobby J +2 more
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Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen, 2008
It is widely accepted that clinical trials have to be carefully reviewed for internal validity. In addition, aspects of external validity, which is also known as 'generalizability' or 'directness', must be considered. The question of whether the study results can be applied to clinical practice under different conditions than the study itself is of ...
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It is widely accepted that clinical trials have to be carefully reviewed for internal validity. In addition, aspects of external validity, which is also known as 'generalizability' or 'directness', must be considered. The question of whether the study results can be applied to clinical practice under different conditions than the study itself is of ...
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A conceptual framework for external validity
Journal of Biomedical Informatics, 2021Evidence-Based Medicine (EBM) encourages clinicians to seek the most reputable evidence. The quality of evidence is organized in a hierarchy in which randomized controlled trials (RCTs) are regarded as least biased. However, RCTs are plagued by poor generalizability, impeding the translation of clinical research to practice. Though the presence of poor
Amelia J. Averitt +3 more
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External validation of the CRAX2MACE model
Journal of Nuclear Cardiology, 2023Single-photon emission computed tomography (SPECT) myocardial perfusion is frequently used to predict risk of major adverse cardiovascular events (MACE). We performed an external validation of the CRAX2MACE score, developed to estimate 2-year risk of MACE in patients with suspected coronary artery disease (CAD).Patients who underwent clinically ...
Waseem, Hijazi +7 more
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2008
Generalizability depends on the quality of the prediction model as developed for the development setting (internal validity), and on characteristics of the population where the model is applied (validity of regression coefficients and distribution of predictor values). The general framework of validity of predictions was discussed in Chap.
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Generalizability depends on the quality of the prediction model as developed for the development setting (internal validity), and on characteristics of the population where the model is applied (validity of regression coefficients and distribution of predictor values). The general framework of validity of predictions was discussed in Chap.
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DiaRem score: external validation
The Lancet Diabetes & Endocrinology, 2014Christopher Still and colleagues1 have produced a novel scoring system (DiaRem score) to predict the probability of remission of type 2 diabetes after Roux-en-Y gastric bypass (RYGB) surgery. Determination of predictive factors of diabetes remission after weight-loss surgery has been of great scientific and clinical interest to bariatric and metabolic ...
Ali, Aminian +4 more
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External Validation of the ICH Score
Neurocritical Care, 2004The ICH score is a clinical grading scale that is composed of five components related to outcome after nontraumatic intracerebral hemorrhage (ICH): Glasgow Coma Scale score, ICH volume, presence of intraventricular hemorrhage, infratentorial origin, and age.
Jennifer L, Clarke +5 more
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