ライフサイエンスコーパス: F test

1 a exhibited significant scatter (P < .05, by F test).

2 ll interventions (P > .07 for Fisher's z, by F test).

3 , reducing sugars and total sugars (p<0.001, F-test).

4 ical significance at 95% (ANOVA with Scheffe F-test).

5 e/QA animals (P < 0.05 by ANOVA with Scheffe F-test).

6 with Alkaike's information criteria and the F test.

7 vely more complex models, evaluated using an F test.

8 ding a correction factor to the conventional F-test.

9 were compared by using unpaired t tests and F tests.

10 sted by using chi-square tests for trend and F tests.

11 Linear trends were tested by using Wald's F tests.

12 bone regions of uniform attenuation by using F tests.

13 les were identified by the ICT and ParaSight-F tests.

14 , as illustrated with two sample t-tests and F-tests.

15 ssure enhanced quantal release at the lowest f tested (1 Hz) but suppressed neurosecretion at higher

16 = 0.938, R(cv)2 = 0.900, R(bs)2 = 0.938, and F-test = 86.8.

17 Here, we propose that Malinowski's F-test, a method based on a statistical analysis of the

18 Malinowski's F-test also improved the robustness of our criterion for

19 significantly higher MDC:PDC ratio (P=0.043, F-test) among rejectors, compared with nonrejectors in c

20 quantitatively compared by using the overall F test and pairwise comparisons.

21 e quality ratings were compared by using the F test and the Wilcoxon signed-rank test.

22 F test with comparison to multiple pointwise F tests and also to the traditional method - univariate

23 ses were primarily performed by using ANCOVA F tests and Tukey-Kramer-corrected pairwise comparisons.

24 ated using the Akaike information criterion, F test, and residual plots.

25 erved data and its advantages over the ANOVA F-test are more pronounced when more missing data are pr

26 of variance, the Fisher exact test, and the F test, as appropriate.

27 o error contributions was determined with an F-test between the ordinary least squares residual varia

28 the markers, both likelihood-ratio tests and F-tests can be constructed on the basis of the proposed

29 A novel F-test clustering technique, further noted as 'F-means c

30 F tests compared the variance of activation time estimat

31 In the FS test, D1 showed the most promising antidepressant-lik

32 nel, and tube current was evaluated by using F tests derived with mixed-model regression.

33 biological knowledge and data with a global F-test for finding genes of interest that minimizes the

34 al components showed that using Malinowski's F-test for rank estimation of in vivo training sets allo

35 aSight F+V assay advanced upon the ParaSight F test format by incorporating a monoclonal antibody dir

36 Based on an F-test, HV genes are selected as having a statistically

37 Equally, a P-value of 1.2 x 10(-4) from an F-test indicates that it is unlikely that the ground-sta

38 The ParaSight F test is one such device.

39 n the uniformity test of fixed biases, a new F'-test is proposed.

40 The new F'-test is simply adding a correction factor to the conv

41 e MFA method yielded an R(2) of 0.873 and an F-test of 36 for a training set of 26 compounds.

42 (MFA) yielded an R(2) value of 0.900 and an F-test of 54 for a training set of 29 compounds.

43 ody titres increased significantly with age (F test p<0.0001).

44 eater than that of sepsis or control groups (F test, p < 0.001).

45 n prevalence depending on geographic region (F test, P = 0.049).

46 ntly less after renal function-based dosing (F test, P =.02), such that 74% of courses had an observe

47 f fit was observed (95% confidence interval; F-test, p > 0.05).

48 assessed by using the Student t test and the F test; P < .05 was considered to indicate a statistical

49 uring the first 48 hours of hospitalization (F-test; P < .0001).

50 No such relationship existed for Hgb (F-test; P = .33).

51 The functional F test provided further information for the stance and s

52 storage interaction for acrylamide (p<0.003, F-test), reducing sugars and total sugars (p<0.001, F-te

53 0.34 +/- 0.04, and 0.29 +/- 0.04 (P < .001, F test), respectively, which was inversely correlated to

54 ror of the mean) and 0.56 +/- 0.04 (P = .18, F test), respectively.

55 Correlation between the HFA and FD test results were 0.41 (MD) and 0.05 (PSD).

56 Finally, F-tests show that the variability in the final fluoresce

57 Pairwise testing was used when the F test showed a statistically significant difference.

58 ssociated with lower 25OHD level (n = 2,347, F-test statistic = 49.7, p = 2.4 x 10-12).

59 was strongly associated with 25OHD (n=2347, F-test statistic=49.7, P=2x10(-12)).

60 he noncentrality parameter approximations of F-test statistics are derived to make power calculation

61 On the basis of the two models, F-test statistics are proposed to test association betwe

62 oncentrality parameter approximations of the F-test statistics are provided.

63 he noncentrality parameter approximations of F-test statistics work very well.

64 Differences were tested by using F tests, stratified by sex and age group.

65 e classification approaches based on overall F-tests, t-tests, or linear regression.

66 The histology model used an F test to identify 99 genes that were differentially exp

67 for 2,2,2-trifluoroethanol-ethanol mixtures (F-test value from 155 to 320) with very small reductions

68 The ParaSight F test was developed as a pioneer industry effort in the

69 Partial F tests were used to compare differences in R(2) values

70 e to be t-tests; in particular they could be F-tests which might arise in certain ANOVA formulations

71 rresponding 150-s time point using a 2-sided F test, which has similar values to the 180-s time point

72 for different molecules are subjected to an F test, which showed that the sol-gel film exhibits spat

73 ire gait curves by means of a new functional F test with comparison to multiple pointwise F tests and

74 were compared before and after CABG by using F tests with repeated-measures models.

75 ods are used to demonstrate how the proposed F'-test works.