“…The interobserver agreement for LC-OCT was 90% (Cohen’s kappa 0.84, 95% CI 0.71–0.91, p ≤ 0.001). …”
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“…The resultant gene-cell type associations (GCAs) are significantly stronger between a curated set of matched cell type-marker pairs than the complementary set of mismatched pairs (Mann Whitney p = 6.15 × 10(−76), r = 0.24; cohen’s D = 2.6). Building on this, we developed an augmented annotation algorithm (single cell Annotation via Literature Encoding, or scALE) that leverages GCAs to categorize cell clusters identified in scRNA-seq datasets, and we tested its ability to predict the cellular identity of 133 clusters from nine datasets of human breast, colon, heart, joint, ovary, prostate, skin, and small intestine tissues. …”
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“…There was a substantial agreement between the RBPT and I-ELISA results (Cohen’s kappa coefficient (κ) = 64.16, percent agreement = 89.5%). …”
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“…Acceptance lag was 105 days (IQR 57–173) for pharmacy practice journals and 97 days (IQR 56–155) for the comparison group with a null effect difference (Cohen’s d 0.081). Lead lag was 13 (IQR 6–35) and 23 days (IQR 9–45) for pharmacy practice and comparison journals, respectively, which resulted in a small effect. …”
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“…Andrews Sexual Behaviour Assessment, concurrent challenging behaviours with the NeuroPsychiatric Inventory‐Nursing Home Version and the Cohen‐Mansfield Agitation Inventory, cognition with the Mini‐Mental State Examination and activities of daily living with the Disability Rating Scale. …”
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“…The type of website and the stance about masks were assessed by two raters for each language and inter-rater agreement reported as Cohen’s kappa. The text of the webpages was collected from the web using WebBootCaT and analysed using a corpus analysis software to identify issues mentioned. …”
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“…Intra- and inter-examiner reliabilities were evaluated using intraclass correlation coefficients (ICC), while for categorical variable, Cohen’s kappa statistics were provided. The Bland-Altman plot was used for visualization of the agreement between measurements. …”
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“…Descriptive statistical analysis and interobserver agreement for MRI reading using non-weighted Cohen kappa statistics were performed. RESULTS: 129 participants (43 [33%] women and 86 [67%] men, mean age 63 ± 14 years) were included in the study. 17/129 (13%) patients had abnormal MRI findings of the orbit or visual pathways. 11/17 (65%) patients had a FLAIR-WI hyperintense optic disc. 6/17 (35%) patients had abnormal signal of at least one of the visual pathway structures: 6/6 (100%) of the optic nerve, 1/6 (17%) of the optic chiasm, 2/6 (33%) of the optic tract and 1/6 (17%) of the optic radiations. …”
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“…For all measures of participant acceptability, self-sampling was rated significantly higher than clinician-sampling. Cohen’s kappa was 0.73 (95% CI: 0.34, 1.00), indicating substantial agreement between self- and clinician-sampling. …”
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“…Substantial agreement existed between the weekly rating and the mean daily rating of pain at its worst when used with trial protocol opioid criteria to detect treatment response (Cohen’s κ = 0.71). CONCLUSION: Use of daily over weekly ratings delivered no added benefit in evaluating pain in this clinical trial. …”
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“…RESULTS: Having accounted for differences in students’ ability, different examiner-cohort scores for the same ability of student ranged from 18.57 of 27 (68.8%) to 20.49 (75.9%), Cohen’s d = 1.3. Score adjustment changed the pass/fail classification for up to 16% of students depending on the modeled cut score. …”
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“…The majority of these had “clear regret” based on Kuiper and Cohen Kettenis’ classification. CONCLUSION: Based on this review, there is an extremely low prevalence of regret in transgender patients after GAS. …”
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“…Across a wide array of testing platforms, the overall agreement between NP swabs and BAL results was 97.6% (95% CI: 93.0% to 100%) with Cohen’s k of 0.90 (95% CI: 0.69 to 1.00). The sensitivity, specificity, positive and negative predictive values of NP swabs compared with BAL were 83.3% (95% CI: 53.5% to 100%), 100%, 100% and 97.3% (95% CI: 92.1% to 100%), respectively. …”
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“…Agreement between Motion Coach and 2 physiotherapists’ corrections for segments of the exercises were compared using Cohen κ and percent agreement. RESULTS: Participants (n=24) were enrolled and evaluated. …”
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“…Statistically and clinically significant reductions in mean AUDIT score from baseline to 6-month follow-up were observed in both groups, however, participants assigned to BI plus CETA had significantly greater reductions compared to BI alone (− 3.2, 95% CI − 6.2 to − 0.1; Cohen’s d: 0.48). The CETA effect size for AUDIT score increased in line with increasing mental health/substance use comorbidity (0 comorbidities d = 0.25; 1–2 comorbidities d = 0.36; 3+ comorbidities d = 1.6). …”
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“…Mention-level performance was reported as precision, recall, F-score and Cohen’s kappa for each domain. Performance was also assessed at ‘service-user’ level and explored whether a heuristic rule improved this. …”
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“…RESULTS: There was a significant decrease in BIS scores from baseline (mean = 18.8, SD = 9.8) to follow-up (mean = 12.9, SD = 9.9), p < 0.001. Cohen’s d(0.65) indicated a moderate effect size. …”
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“…Results: The study found that Take Two intervention was associated with improved relational health, measured by the NMT metric and supported by significant positive changes on the SDQ and HoNOSCA with medium effect sizes (cohen's d). The case study analysis highlighted the importance of intervention addressing individual, family and systems elements to bring about positive change. …”
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“…Sensitivity of the molecular test based on nasal lavage fluid, compared to traditional nasal swab, was 97.7%, specificity was 100%, and accuracy was 98.9%, with high agreement (Cohen's κ, 0.978). CONCLUSION: Nasal and nasopharyngeal lavages resulted to be highly reliable and well tolerated. …”
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“…We computed hazard ratios (HRs) of HZ associated with Cohen’s Perceived Stress Scale (PSS) score (range 0–40) using Cox regression with age as the timescale, adjusted for sex, immunosuppressive and selected chronic conditions, immunosuppressive drugs, and sociodemographic, lifestyle and anthropometric factors. …”
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