Search alternatives:
significantly identified » significantly enriched (Expand Search), significantly inhibited (Expand Search), significantly declined (Expand Search)
identified increase » identified areas (Expand Search), identified insulinase (Expand Search)
linear decrease » linear increase (Expand Search)
inter decrease » water decreases (Expand Search), teer decrease (Expand Search), step decrease (Expand Search)
significantly identified » significantly enriched (Expand Search), significantly inhibited (Expand Search), significantly declined (Expand Search)
identified increase » identified areas (Expand Search), identified insulinase (Expand Search)
linear decrease » linear increase (Expand Search)
inter decrease » water decreases (Expand Search), teer decrease (Expand Search), step decrease (Expand Search)
-
1
Significant condition.
Published 2024“…Over time, the content of C-A-H stabilized at 22%, the amount of CH decreased from 19% to 14%, whereas the amount of AFt increased to 15.9% by Day 28. …”
-
2
Results of significance for regression factors.
Published 2024“…Over time, the content of C-A-H stabilized at 22%, the amount of CH decreased from 19% to 14%, whereas the amount of AFt increased to 15.9% by Day 28. …”
-
3
Intra- and inter-day precision and accuracy.
Published 2025“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
-
4
-
5
-
6
-
7
-
8
Significantly variable serum polyunsaturated fatty acid metabolites.
Published 2024“…Linear mixed-effects models were used to identify serum metabolites that varied significantly among the storage conditions. …”
-
9
-
10
-
11
Model fit for Mixed-Effects Multi-linear Regressions with PSS as a continuous outcome measure.
Published 2024Subjects: -
12
-
13
-
14
-
15
-
16
-
17
-
18
-
19
Significantly variable serum amino acid and gamma-glutamyl amino acid metabolites.
Published 2024“…Linear mixed-effects models were used to identify serum metabolites that varied significantly among the storage conditions. …”
-
20