“…From the umbrella review, the reported factors of statistical significance include: maternal illiteracy [AOR = 1.96; 95% CI: 1.44–2.67], primiparity [AOR = 1.29; 95% CI: 1.03–1.62], antepartum hemorrhage [AOR = 3.43; 95% CI: 1.74–6.77], pregnancy induced hypertension [AOR = 4.35; 95% CI: 2.98–6.36], premature rupture of membrane [AOR = 12.27; 95% CI: 2.41, 62.38], prolonged labor [AOR = 3.18; 95% CI: 2.75, 3.60], meconium-stained amniotic fluid [AOR = 5.94; 95% CI: 4.86, 7.03], instrumental delivery [AOR = 3.39; 95% CI: 2.46, 4.32], non-cephalic presentation [AOR = 3.39; 95% CI: 1.53, 5.26], cord prolapse [AOR = 2.95; 95% CI: 1.64, 5.30], labor induction [AOR = 3.69; 95% CI: 2.26–6.01], cesarean section delivery [AOR = 3.62; 95% CI: 3.36, 3.88], low birth weight [AOR = 6.06; 95% CI: 5.13, 6.98] and prematurity [AOR = 3.94; 95% CI: 3.67, 4.21] at 95% CI. …”
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“…After excluding 216 participants with missing data, the final statistical analysis of follow-up data included 370 mother and child pairs from the central and eastern regions of Taiwan. …”
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“…Significance was set at P=.05. All statistical analyses were performed in MATLAB 2019b. …”
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“…METHODS: Data from the national multicenter Kids’ Inpatient Database of the Healthcare Cost and Utilization Project from the years 2000, 2003, 2006, 2009, 2012, and 2016 were analyzed using a complex survey design using Statistical Analysis System (SAS) 9.4 (SAS Institute, Cary NC). …”
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“…After the data were coded and entered into Epi-Info Version 7.2 Software, the data were analyzed using STATA Version 14 Statistical Software. RESULTS: The magnitude of eclampsia was 5.36 per 1000 pregnancies (95% CI: 4.72, 6.10). …”
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“…Each specimen was tested with the MPFC intact and sectioned, and after each of the three reconstruction techniques: medial patellofemoral ligament (MPFL) reconstruction, hybrid (proximal medial patellar restraints - PMPR) reconstruction, and medial quadriceps-tendon femoral (MQTFL) reconstruction. Statistical analysis used the Friedman and Wilcoxon rank sum tests due to non-normally distributed data. …”
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“…Chi square tests and bivariate Pearson correlation coefficients were calculated to examine between group differences and the relationships between variables. Statistical significance was set a priori at α=0.05. …”
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“…ANOVA, Student’s t-test and Fisher’s exact test were used for comparisons between the three groups. Statistical significance was determined at p<0.05. This study was approved by our institutional review board. …”
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“…Multivariate analysis of variance (MANOVA) was used to compare RTS metrics, and if significance was detected, pairwise comparison was performed by Bonferroni post-hoc correction. Statistical significance of p<0.05 was applied. RESULTS: The cohort of 37 revision ACLR patients were compared to cohorts of 62 primary HS and 47 BTB ACLR patients, respectively (Table 1). …”
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“…The Kaplan–Meier survival analysis and log-rank statistical tests were performed to assess the discriminative ability of the features. …”
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“…Multiple linear regression models were used to examine the relationship between right or left shoulder SUV measurements and symptom status, after adjusting for covariates. Statistical significance level was set at P < 0.05. …”
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“…Data were analyzed with STATA statistical analysis software (version 14). Chi-square (X(2)) and Fisher’s exact tests were used to test for differences in categorical variables; bivariate probit regression analysis with Average Marginal Effect (AME) was employed to ascertain the determinants of HCWs’ likelihood of participating in a COVID-19 vaccine trial and taking the vaccine. …”
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“…Results were considered statistically significant if P -value was < 0.05 and 95% confidence interval (CI) did not include 1. …”
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“…Rural residents had lower mean scores of knowledge (mean 9.8, SD 3.1, P<.001) and adherence to appropriate practice measures (mean 4, SD 1.4, P<.001) compared to their urban counterparts. Positive and statistically strong correlations between knowledge and attitudes (r=0.21, P<.001), knowledge and practices (r=0.45, P<.001), and attitudes and practices (r=0.27, P<.001) were observed. …”
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“…Age of child 12–23 months (AOR = 0, 68, 95%CI: 0.55, 0.85), 24–35 months (AOR = 0.38, 95%CI: 0.31, 0.47), and36–47 months (AOR = 0.25, 95%CI, 0.20, 0.31), working mother (AOR = 0.87, 95%CI: 0.76, 0.99), anemic mother (AOR = 1.53, 95%CI, 1.35, 1.73), had fever in the last 2 weeks (AOR = 1.36,95%CI:1.13, 1.65), moderate stunting (AOR = 1.31,95%CI: 1.13, 1.50),Severely stunting (AOR = 1.82,95%CI: 1.54, 2.16), religion, wealth index, and number of under-five children in the household were statistically significant associated with childhood anemia. …”
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“…The mean Cobb angle decreased from 28.9 ± 5.5° to 26.3 ± 5.2° at the final follow-up, despite no statistical significance was observed (t = 1.853, P = 0.102). …”
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“…In addition, there was a deterioration in depression scores, although it was not statistically significant. Considering the fact that many subdimensions of quality of life, especially those associated with mental health, were impaired, it can be said that providing psychosocial support to patients is an important necessity.…”
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“…RESULTS: At a given level of SPID-48 or SPID-24, patients receiving oliceridine were less likely to experience the composite safety endpoint. Although not statistically significant at the 0.05 level in the soft tissue model, the odds ratio (OR) showed a consistent numerical trend for oliceridine, being approximately half that observed with morphine in both the hard (OR 0.499; 95% confidence interval [CI] 0.255, 0.976; p = 0.042) and soft (OR 0.542; 95% CI 0.250, 1.175; p = 0.121) tissue studies. …”
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“…However, there were no statistically significant differences across groups in the percentage of body weight loss (OSA with CPAP: 6.3±5.6 %, OSA without CPAP: 6.8±6.9 %, non-OSA: 7.2±6.5 %; p=0.844), or the proportion of patients who achieved ≥5 % body weight loss (OSA with CPAP: 57.9 %, OSA without CPAP: 59.4 %, non-OSA: 65.9 %; p=0.743). …”
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“…We integrated the results of this analysis into our existing statistical model relating in-vitro neutralisation to protection (parameterised on data from ancestral virus infection) to estimate vaccine efficacy against SARS-CoV-2 variants. …”
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