Search alternatives:
significant all » significant anti (Expand Search), significant gap (Expand Search), significant _ (Expand Search)
point decrease » point increase (Expand Search)
all increase » also increase (Expand Search), qaly increase (Expand Search), al increased (Expand Search)
significant all » significant anti (Expand Search), significant gap (Expand Search), significant _ (Expand Search)
point decrease » point increase (Expand Search)
all increase » also increase (Expand Search), qaly increase (Expand Search), al increased (Expand Search)
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Perioperative factors associated with differences in adjusted hospitalization costs; all displayed factors are significantly associated with increased or decreased adjusted costs.
Published 2024“…<p>Perioperative factors associated with differences in adjusted hospitalization costs; all displayed factors are significantly associated with increased or decreased adjusted costs.…”
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Comparison of renal tissue pathological damage grades across different groups at all time points.
Published 2024Subjects: -
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Summary map of all contacts with statistically significant SVM classifications.
Published 2024“…Yellow reflects high classification accuracy, while dark blue represents less robust classification accuracy. Time-frequency points with no significant classification value are white.…”
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Response of small airway tissues infected with EV-D94 and decreasing doses of EV-D68.
Published 2022“…<p>Tissues were infected with 1E7 RNA copies of EV-D94 (equivalent to 2,46E4 TCID50) and 1E7 RNA copies of EV-D68 (3,3E5 TCID50) as well as decreasing doses of the latter. A and B: Viral loads were quantified by RT-PCR from apical wash samples collected at the indicated time points (A) or from tissues lysed at 2dpi (B). …”
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Change in average relative abundance of significantly different ASVs within distinct phyla classifications at all three time points for the three different treatments.
Published 2020“…</b> For the control treatment, the change in average relative abundance of significantly different bacteria taxa in their relative phyla classifications generally decreased throughout consecutive time points. …”
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All-variable XGBoost model on the <i>significant illness</i> binary using the all-owner dataset.
Published 2024“…<p>(a) Receiver operating characteristic curve of a prediction model containing all variables (owner, animal and healthcare). This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”
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