ライフサイエンスコーパス: intrasubject

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1 assessed intersubject (4 donors) as well as intrasubject (3 different blood samples from 1 donor) va

2 ues ranging from 0.3 to 0.8, showed the best intrasubject and intersubject variability and reliabilit

3 All intrasubject and three of six intersubject section presc

4 On an intrasubject basis, short IAA exposures of 0.6 min separ

5 was assessed by repeatability coefficients, intrasubject coefficients of variation (CV), and confide

6 pose of this study was to obtain continuous, intrasubject controlled assessment of the relationship b

7 n mean number of defects per section (median intrasubject correlation [r(m)] = 0.01, P = .64) or chan

8 First, using a time-warp based intrasubject correlation method, we identified all areas

9 R2* mapping had the highest intrasubject correlations with iron in subcortical gray

10 lity assurance and analysis of data improved intrasubject CV from 15.9% to 10.7% for averaged SUV(max

11 For SUV(max), the intrasubject CV varied from 10.7% to 12.8% for the QA mu

12 The intrasubject CV was 3.9% for TEE(DLW) and 9.9% for MEI.

13 ty differences were not found in analysis of intrasubject data.

14 ) states and high SI states using a powerful intrasubject design, as well as an intersubject case-cas

15 Intrasubject differences in the total body and subcompar

16 bility analyses that explicitly accounts for intrasubject fluctuations (e.g., due to measurement nois

17 Intrasubject genetic distance and entropy were highest i

18 26 study subjects, 19 showed no evidence of intrasubject K1 sequence variability, but, in 7 subjects

19 n of within-subject standard deviation (Sw), intrasubject precision (1.96xSw), coefficient of variati

20 Intrasubject precision of baseline measurements was asse

21 Intrasubject regression revealed a distributed network o

22 PET emission data but with MR-AC from these intrasubject repeated attenuation maps.

23 The intrasubject reproducibility for the patients improved w

24 Control subjects showed overall higher intrasubject reproducibility of brain activation pattern

25 The intrasubject reproducibility of the brain activation pat

26 the same subjects, to investigate potential intrasubject sequence differences.

27 Moreover, a significantly high intrasubject similarity between avalanche size and durat

28 ly, within each subject, three corresponding intrasubject studies were fitted simultaneously to a sin

29 during filgrastim treatment contained unique intrasubject subclusters that shared a most recent commo

30 Mean intrasubject test-retest variability for cortical averag

31 ed this approach, examining intersubject and intrasubject variability and the validity of using a sin

32 od to be a consequence of the atypically low intrasubject variability in blood SUV and uptake time an

33 Group differences in intrasubject variability in reaction time were examined,

34 Sample stability and inter- and intrasubject variability were evaluated in the urine of

35 occasions and the other taking into account intrasubject variability.

36 red separate scans with the drawback of high intrasubject variability.

37 ) when responding to positive stimuli and an intrasubject variable (mood) when responding to negative

38 ole and had a lower dynamic range and higher intrasubject variance.

39 e classification by comparing the inter- and intrasubject variation of urinary phthalate metabolite l

40 demonstrated high temporal stability (or low intrasubject variation) over the entire study period, th

41 etest reliability was evaluated by comparing intrasubject visual read ratings and SUVrs for 2 PET ima

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