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  1. 21721
    “…Estimates of TB-related deaths between physician reviews and the InterVA model were compared using Cohen’s Kappa (k), Receiver-operator characteristic (ROC) curve analysis, sensitivity, and specificity to compare agreement between PCVA and InterVA. …”
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  2. 21722
    “…An analysis of covariance revealed that the men had a significantly higher average BA level than did women [F((1,2058)) = 13.244, P < 0.001, Cohen's d = 0.193]. Hierarchical multiple regression analyses revealed BA was negatively associated with symptoms of depression, anxiety, and suicidality within the entire sample (depressive symptoms, β = −0.129, P < 0.001; anxiety symptoms, β = −0.101, P < 0.001; suicidality, OR = 0.788 P = 0.020) and among women (depressive symptoms, β = −0.172, P < 0.001; anxiety symptoms, β = −0.131, P < 0.001; suicidality, OR = 0.639 P = 0.001) but not men. …”
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  3. 21723
    “…RESULTS: The results of the study showed that EMDR did not have a statistically significant effect on State-Trait Anxiety of patients with dysmenorrhea (p > 0.05). Based on the Cohen’s d effect size of 0.06 for state-anxiety, -0.01 for trait-anxiety, and partial eta square less than 0.059 for both uncorrected and corrected models, the intervention was within a trivial effect. …”
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  4. 21724
    “…Interrater agreement was analyzed by intraclass correlation (ICC), Bland-Altman analysis, and Cohen's kappa weighted. The risk of high and low clinical performance was analyzed on the logit scale to meet the assumptions of normality and constant standard deviation. …”
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  5. 21725
    “…There was significant Pearson’s correlation of expressive language skills to age (0.002, P < 0.01), schistosomiasis i.e. vocabulary 1 (0.024, P < 0.05) and narrative skills (0.001, P < 0.01) and soil-transmitted helminths i.e. vocabulary 1 (0.006, P < 0.05), colours (0.029, P < 0.05) and narrative skills (0.001, P < 0.01) in phase 2 with small to high Cohen’s d effect size for various language subtests. …”
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  6. 21726
    “…The inter-rater reliability between two assessors was also evaluated by calculating Cohen’s kappa coefficient. The learning curve was assessed regarding the inaccurate injection rate by analyzing Spearman’s rank correlation coefficient. …”
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  7. 21727
    “…There was a significant group difference for fat mass (p = 0.044) as WP lost 2.1 ± 2.9 kg and had a moderate effect size (Cohen's d: −0.24), whereas the CHO group lost 0.9 ± 2.5 kg and had only a small effect size (d: −0.1). …”
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  8. 21728
    “…RESULTS: Unexpectedly, we found that the mode of reminder delivery did not significantly affect either the adherence, namely the number of completed program sessions, with the SMS text messaging reminder group showing a mean of 4.30 (SD 3.24) and the email reminder group showing a mean of 4.36 (SD 3.27) (t(586)=0.197, P=.84, and Cohen d=0.016), or the outcome, namely the quit smoking attempt rate (34.2% in the SMS text messaging group vs 31.7% in the email group; χ(2)(1)=0.4, P=.52). …”
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  9. 21729
  10. 21730
    “…Three fellowship-trained musculoskeletal radiologists realized all measurements in two time-frames (coronal, sagittal and axial alignment), separated for one month each. Cohen's inter and intraclass coefficients were calculated to estimate the amount of agreement that occurred by chance. …”
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  11. 21731
    “…Effect sizes were calculated using Cohen’s d. RESULTS: No group differences for lower extremity kinematics during walking and stair climbing were found. …”
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  12. 21732
    “…Primary outcomes included perceived stress measured with the Cohen Perceived Stress Scale (PSS) and anxiety measured with the Generalised Anxiety Disorder-7 scale (GAD-7). …”
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  13. 21733
    “…RESULTS: Gen 3 outperformed its predecessor with a mean (SD) accuracy of 92.6% (0.04), sensitivity of 94.9% (0.03), and specificity of 78.5% (0.11); corresponding to a 3%, 2.8% and 6.2% improvement from Gen2 across the three nights, with Cohen’s d values >0.39, t values >2.69, and p values <0.01. …”
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  14. 21734
  15. 21735
    “…In each comparison between clusters 1 and 3 (yo-yo) and clusters 2 and 3, although the effect size of the difference in average meal record adherence and average weight record adherence was not significant in the first week, it peaked within the initial 8 weeks (Cohen d>0.35) and decreased after that. CONCLUSIONS: Using a machine learning approach and clustering shape-based time series similarities, we identified 5 weight loss trajectories in a mobile weight management app. …”
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  16. 21736
  17. 21737
  18. 21738
    “…Changes in the FBS, HbA1C, and eGFR were not significantly different between groups (P > 0.05), but there was more decrease in albuminuria in the Empagliflozin group compared to the Linagliptin group (P = 0.001, Cohen’s d = 0.98). CONCLUSIONS: Regardless of baseline albuminuria, eGFR, or HbA1c, Empagliflozin 10 mg daily significantly reduced albuminuria at 12 weeks compared to Linagliptin 5 mg daily in patients with type 2 diabetes. …”
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  19. 21739
    “…Clinician scores for both intra- and inter-rater reliability were assessed using Cohen's Kappa. The performance of each clinician in discriminating treatment need using the app against the conventional assessment method at the threshold of treatment acceptance criteria was also assessed using the area under the curve-receiver operating characteristic. …”
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  20. 21740
    “…Image quality was qualitatively assessed twice by 2 readers using a 5-point Likert scale. The Cohen κ-test was used to investigate the intra- and interreader agreement. …”
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