Mostrando 19,861 - 19,880 Resultados de 23,109 Para Buscar '"Cohen"', tiempo de consulta: 0.35s Limitar resultados
  1. 19861
    “…The severity of physical frailty was significantly associated with decreased cognitive performance (Cohen’s d=0·025–0·162), increased early-life risks (d=0·026–0·111), unhealthy lifestyle (d=0·013–0·394), poor physical fitness (d=0·007–0·668), increased symptoms of poor mental health (d=0·032–0·607), severe environmental pollution (d=0·013–0·064), and adverse biochemical markers (d=0·025–0·198). …”
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  2. 19862
    “…Changes from baseline to follow‐up showed at least a small effect (Cohen's d = 0.2) for improvements in: mindful attention, alcohol use, physical activity, fruit and vegetable intake, days of mindfulness practice, depressive symptoms, ability to participate in social roles and activities, cancer‐specific quality of life, benefits of having cancer, and positive feelings. …”
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  3. 19863
    “…Inter-rater reliability was assessed using Cohen-Kappa coefficient (κ). Forty-eight, 46, and 66 samples were analyzed for AMA, anti-LKM1, and anti-SLA, respectively. …”
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  4. 19864
    “…The agreement between the two techniques was almost perfect according to the estimated Cohen’s kappa index, with a diagnostic sensitivity and specificity of 83.89% and 100%, respectively, and a relative accuracy of 91.59%. …”
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  5. 19865
    “…For the coprimary efficacy endpoints, least squares mean (LSM) change from baseline to week 12 in the Rett Syndrome Behaviour Questionnaire for trofinetide versus placebo was −4.9 versus −1.7 (P = 0.0175; Cohen’s d effect size, 0.37), and LSM Clinical Global Impression–Improvement at week 12 was 3.5 versus 3.8 (P = 0.0030; effect size, 0.47). …”
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  6. 19866
    “…On the other hand, the harm perception of the non–SUD group was found in the low-risk group (X = 3.78); the harm perception of the SUD group was found in the moderate-risk group (X = 3.43). According to Cohen’s d calculations, the effect size of the difference between the two groups is high (d = 1.43; >0.8). …”
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  7. 19867
  8. 19868
    “…The agreement between the clinical and MRI findings was determined using Cohen’s kappa coefficient (k < 0.21 slight, 0.21–0.4 fair, 0.41–0.6 moderate, 0.61–0.8 substantial, and 0.81–1 almost perfect). …”
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  9. 19869
  10. 19870
    “…RESULTS: The intra-observer (radiologist) agreements regarding the status of the 15 CXR parameters ranged between 74 per cent and 100 per cent, with an unweighted mean of 87.2 per cent (95% confidence interval: 71.5-100). The median Cohen’s kappa values for intra-observer agreement were 0.62 and 0.67 for radiologists 1 and 2, respectively. …”
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  11. 19871
  12. 19872
    “…RESULTS: For both the binary and multiclass tasks, the hidden Markov model significantly (P<.05) outperformed the random forest model for all PRO scores, and the highest area under the curve, Pearson correlation coefficient, and Cohen κ coefficient were 0.750, 0.479, and 0.471, respectively. …”
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  13. 19873
    “…RESULTS: The intraobserver and interobserver agreement for the ligament identification was calculated using Cohen’s Kappa coefficient. The first radiologist identified the structure in 41 of the 97 scans (42.2%), and the second radiologist in 38 scans (39.2%). …”
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  14. 19874
    por Åsberg, Katarina, Bendtsen, Marcus
    Publicado 2023
    “…Monte Carlo simulations (assuming a standardised effect of 0.35 Cohen’s d of the intervention on the primary outcome, to at least 80% of the time estimate a posterior probability of effect of at least 95%) indicated that data from 1000 participants are required for analysis, meaning that 2000 participants are required to be randomised when assuming a 50% attrition rate. …”
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  15. 19875
    “…An almost perfect agreement between CT and 3DTOE was found in assessing the eligibility for TMVR implantation (Cohen kappa 0.83, P < 0.001). CONCLUSION: 3D-TOE appraisements showed good correlations with CT measurements and high accuracy to predict TMVR screening success.…”
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  16. 19876
  17. 19877
    “…Internal consistency and inter-rater agreement were estimated using Cronbach’s α, weighted Gwet’s AC2, and quadratic Cohen’s kappa. The mean visual scores were used to validate a range of similarity metrics employing different color spaces, distances, and image embeddings from a pre-trained VGG16 neural network. …”
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  18. 19878
  19. 19879
    “…Logistic regression models were used to assess the impact of risk factors of recurrence. Cohen-Kappa scores were derived to see the concordance between pre-operative and intra-operative isolates and at recurrence. …”
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  20. 19880
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