“…Patients experienced marginally greater paranoia than relatives [b = 0.47, p = 0.08, 95% CI (− 0.06, 1.0)] and significantly greater paranoia than controls [b = 0.55, p = 0.03, 95% CI (0.5, 1.0)], but controls and relatives did not differ [b = 0.07, p = 0.78, 95% CI (− 0.47, 0.61)]. …”
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“…Further adjustment for concomitant disease, risk factors, and preventive medication modified the regional differences only marginally. In conclusion, substantial regional differences were found in cardiovascular and limb outcomes in patients with PAD and were not explained by variation in the category of included patients, concomitant disease, risk factors, and prevention. …”
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“…Pearson product-moment correlation coefficient and confidence intervals were used to determine the validity between the systems, whilst a general linear mixed model analysis approach was used to establish estimated marginal mean values for total ball releases, high-speed ball releases and ball release index. …”
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“…Grip strength relative to BMI was marginally better than absolute grip strength in predicting stomach cancer. …”
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“…For in-vivo validation, orthotopic hepatic VX2 tumors were treated using a new multi-functional perfusion-thermal radiofrequency ablation electrode, which enabled simultaneous delivery of both LTX-401 and RFH within the tumor and at the tumor margins. RESULTS: In in-vitro experiments, taking up of ICG by VX2 cells was linearly increased from 0 μg/mL to 100 μg/mL, while ICG-signal intensity (SI) reached the peak at 24 hours. …”
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“…The predefined noninferiority margin for the primary outcome was −5 points. RESULTS: At the final follow-up, 50 patients in the single-stage group and 48 patients in the staged group completed the study. …”
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“…On days when caregivers indicated their spouse appreciated them ‘A lot’ versus ‘Not at all,’ sleep quality was marginally better (B=0.73, SE=0.42; p-value-0.08). Finally, days when caregivers felt lonely at least ‘Some of the time’ versus ‘Not at all’ were associated with experiencing more adverse health symptoms (B=1.54; SE=0.58; p-value<0.001). …”
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“…ECOG performance status 2/3 (p = 0.058) and bone metastases (p = 0.051) were marginally related. In multivariate analysis, male (p = 0.003), bone metastases (p = 0.023), biliary obstruction (p = 0.001), 5FU-based (p = 0.016) and single-agent (p = 0.023) were independently associated with inferior OS. …”
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“…The model combined both features effectively enhanced the performance of radiomic models and provided marginal enhancement to deep learning models. Collectively, fusion models offer a novel and more reliable way of providing the efficacy of currently developed prediction models, and have far-reaching potential for the optimization of noninvasive EGFR mutation status prediction methods.…”
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“…We consider this health care computing infrastructure mapping to be representative with a 95% confidence level within an 11% margin of error. Two-thirds of the PHUs have only alternate solar electricity, only 10 of the 72 surveyed health facilities have functional official internet, and most use suboptimal computing hardware. …”
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“…We previously showed that mice exclusively colonised with fungi displayed increased sensitivity to allergic airway inflammation and had fecal metabolite profiles similar to germ-free mice. This marginal effect on the host metabolome suggested that fungi do not primarily use metabolites to modulate the host immune system. …”
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“…Medical students who are URIM also reported marginally less favorable student-faculty interactions in the learning environment (mean [SD], 14.09 [3.45] vs 14.29 [3.35]; P < .001). …”
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“…Data from the Ontario-Marginalization Index at the Census Subdivision (CSD) level, as well as the California Healthy Places Index (HPI) at the Census Tract (CT) level, were used to determine the census geographical units in the lowest and highest quantiles of socioeconomic indicators during the COVID-19 pandemic. …”
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“…Ensembles provided a marginal gain in forecast accuracy (RMSE = 3.48, MASE = 0.67) In Toronto, SARIMA modeling had the superior forecasts (RMSE = 8.14, MASE = 0.52), whereas ensembles did not improve accuracy (RMSE = 8.57, MASE = 0.58). …”
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“…After weaning, Pre-C piglets tended to eat more and grew marginally faster than Pre-L piglets. Post-C piglets spent more time eating and had a higher feed intake post-weaning than Post-L piglets. …”
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“…Using a publicly available healthcare dataset, we have explored several classification models to predict patients' re-admission or a fatality based on their discharge summaries and established that 1) The performance of the neural models used in our experiments convincingly exceeds those based on bag-of-words by several percentage points as measured by the standard metrics. 2) This allows us to achieve the accuracy typically acceptable by the clinicians as of practical use (area under the ROC curve above 0.70) for the majority of our prediction targets. 3) While the pre-trained attention-based transformer performed only on par with the model that averages word embeddings when applied to full length discharge summaries, the transformer still handles shorter text segments substantially better, at times with the margin of 0.04 in the area under the ROC curve. Thus, our findings extend the success of pre-trained language models reported in other domains to the task of clinical event prediction, and likely to other text-classification tasks in the healthcare analytics domain. 4) We suggest several models to overcome the transformers' major drawback (their input size limitation), and confirm that this is crucial to achieve their top performance. …”
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“…Comparatively, the enrollment rate in the pooled treatment group was 4.3%, which demonstrated an increase of 0.3 percentage points (95% CI, 0.2-0.4 percentage points; P<.001), yielding 1753 marginal enrollments. Letters that used action language caused larger enrollment effects, particularly among Black individuals (increase of 1.6 percentage points; 95% CI, 0.6-2.7 percentage points; P = .003) and Hispanic individuals (increase of 1.5 percentage points; 95% CI, 0.0-3.0 percentage points; P = .046) in Medicaid expansion states. …”
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“…All the components of the different dimensions are only marginally correlated with each other, demonstrating their potential ability to grasp different aspects of the spatial distribution of the COVID-19 pathology. …”
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“…Individuals with Covid-19 showed an increased type 2 diabetes incidence compared with AURI (15.8 vs 12.3 per 1000 person-years). Using marginal models to account for correlation of observations within matched pairs, an IRR for type 2 diabetes of 1.28 (95% CI 1.05, 1.57) was estimated. …”
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“…The Kaplan-Meier estimate of the difference (95% CI) between treatment groups (PP6M − PP3M) in the percentages of patients who remained relapse free was −2.9% (−6.8%, 1.1%), thus meeting noninferiority criteria (95% CI lower bound is larger than the pre-specified noninferiority margin of −10%). Secondary efficacy endpoints corroborated the primary analysis. …”
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