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  1. 21621
    por Mai, Hang-Nga, Lee, Du-Hyeong
    Publicado 2020
    “…Peer-reviewed journal articles evaluating the accuracy of 3D facial models generated by mobile device–compatible face scanners were included. Cohen d effect size estimates and confidence intervals of standardized mean difference (SMD) data sets were used for meta-analysis. …”
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  2. 21622
    “…There was good convergent validity of ITMAIS-m with other auditory outcome measure (r = 0.932) and pure tone average thresholds (r ranging from − 0.670 to − 0.909), as well as a high ability to discriminate between different hearing grades (Cohen d ranging from 0.41 to 5.83). CONCLUSIONS: The ITMAIS-m is a reliable and valid tool for evaluating EPLAD in infants and toddlers, which can be efficiently and precisely applied in clinical practice. …”
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  3. 21623
    “…RESULTS: Intention-to-treat analyses indicated that scores on the irritability subscale of the ABC-C, our primary outcome measure, decreased significantly for boys who received FCT via telehealth compared to boys who received treatment as usual (p < .001, Cohen’s d = 0.65). In-session observations conducted for those who received treatment showed that levels of problem behavior decreased by 91% from baseline. …”
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  4. 21624
  5. 21625
    “…The largest median of Cohen d effect sizes were observed in reducing anxiety and depression (within-subject: median −0.38, IQR −0.62 to −0.27; between-group: median −0.42, IQR −0.58 to −0.22) and facilitating posttraumatic growth (within-subject: median 0.42, IQR 0.35 to 0.48; between-group: median 0.32, IQR 0.22 to 0.39). …”
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  6. 21626
    por Huber, Justin P., Sawaki, Lumy
    Publicado 2020
    “…In a secondary subscore analysis, the experimental group achieved significantly higher gains in sphincter control (p = 0.011: 95% CI 0.83–5.72) with a large effect size (Cohen’s d 1.19). Locomotion subscores were not significantly different (p = 0.026; 95% CI 0.37–5.3) nor were the remaining subscores in self-care, mobility, cognition, and social cognition. …”
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  7. 21627
    “…QOL (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire [EORTC QLQ C30]) and symptoms—sleep disturbance (General Sleep Disturbance Scale [GSDS]), fatigue (Lee Fatigue Scale [LFS]), depressive symptoms (Center for Epidemiological Studies—Depression Scale [CES-D]), anxiety (Spielberger State-Trait Anxiety Inventory [STAI-S, STAI-T]), and stress (Perceived Stress Scale [PSS])—were measured prior to, at midpoint, and at the end of the 4-month intervention. Effect sizes (Cohen’s d) were calculated along with paired t tests comparing baseline to end of month 4 time points. …”
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  8. 21628
    “…The intraclass correlation coefficient was 0.87 (95% CI, 0.79-0.92) and 0.85 (95% CI, 0.81-0.89), and the Cohen kappa was 0.80 (95% CI, 0.71-0.89) and 0.87 (95% CI, 0.78-0.96), respectively, for OSTRC-H2 and OSTRC-02. …”
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  9. 21629
    “…After 12 weeks, OM was associated with an improvement in the OM group versus the CG in neck pain on the VAS [14.6 mm (95% confidence interval 8.0; 21.2) versus 40.8 mm (34.7; 46.9), p < 0.001, Cohen’s d = 1.4], and neck pain disability as determined by the NDI [8.8% (6.7; 10.8) versus 17.2% (15.3; 19.1), p < 0.001]. …”
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  10. 21630
    “…A capillary blood sample was also taken after the last sprint to analyse metabolic and ionic markers. Cohen's effect sizes (ES) were used to compare group differences. …”
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  11. 21631
    “…Multivariate-adjusted HRs for patients in the TyG index 4th quartile were higher for dementia (HRs = 1.14; 95% confidence interval [CI] 1.12–1.16), AD (HRs = 1.12; 95% CI 1.09–1.14), and VD (HRs = 1.18; 95% CI 1.12–1.23) compared with the 1st quartile of TyG index; however, this had a small effect size (Cohen’s d = 0.10, 0.08, and 0.13, respectively). These effects were independent of age, sex, smoking status, physical activity, body mass index, systolic blood pressure, and total cholesterol. …”
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  12. 21632
    “…During the pandemic, online academic activities significantly increased [oncologists who participated in online academic activities ≥60%: 64.58% (during the pandemic) vs. 10.90% (before the pandemic), Cohen’s kappa coefficient =0.0499, P<0.001]. The findings indicated that 90.6% of respondents considered that the online academic activities would become a future trend. …”
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  13. 21633
  14. 21634
    “…The results were presented as percentage agreement and Cohen’s kappa (κ). RESULTS: Intra-rater agreement was found to be moderate to almost perfect (κ = 0.44–0.96) in all categories, except in the category aesthetics (κ = 0.40). …”
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  15. 21635
    “…RESULTS: Interannotator agreement, based on dual annotations for 3644 (41%) of the 8976 tweets, was 0.77 (Cohen κ). A deep neural network classifier, based on a BERT model that was pretrained on tweets related to COVID-19, achieved an F(1)-score of 0.76 (precision=0.76, recall=0.76) for detecting tweets that self-report potential cases of COVID-19. …”
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  16. 21636
    “…Effect sizes were estimated using Cohen’s d. RESULTS: The Anxiety (p = .04; d = 0.70), Depression (p = .03; d = 0.93) and Anger (p = .04; d = 1.28) subscales of the POMS decreased between baseline and six months. …”
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  17. 21637
    “…However, the majority of mobility performance parameters were different between groups with large to very large effect size, Cohen’s d ranging from 0.91 to 1.59. Among assessed mobility performance, the largest effect sizes were observed for sedentary-behavior (d = 1.59, p = 0.006), light-activity (d = 1.48, p = 0.009), and duration of sitting+lying (d = 1.46, p = 0.016). …”
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  18. 21638
    “…The interrater reliability Cohen’s kappa score, κ=0.43 (p = 0.002), which showed a moderate level of agreement. …”
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  19. 21639
    “…Cosmetic outcome was graded by two graders (an ophthalmology resident and an experienced ophthalmologist) using Hirst classification system (1–4 = excellent–poor). Weighted Cohen’s kappa analysis was performed to examine the intra- and inter-rater reliability. …”
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  20. 21640
    “…Agreement between gestalt scores and view, component, and component by view scores was assessed using percent agreement, absolute agreement, and Cohen’s weighted kappa statistic to determine if any of the hypothesized image features correlated with the ability to predict ROP disease trajectory in patients. …”
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