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 KO and SW48 lines, respectively (p < 0.0001, F-test).

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

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

7 oot mean squared error and Alpaydin's paired F test.

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

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

10 Analysis of the x(2)s produced an F test.

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

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

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

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

15 bone regions of uniform attenuation by using F tests.

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

17 s using linear regression and compared using F tests.

18 cept the SureScreen fluorescence (SureScreen-F) test.

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

20 ctrophotometric method for HMTD using t- and F-tests.

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

22 = 0.938, R(cv)2 = 0.900, R(bs)2 = 0.938, and F-test = 86.8.

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

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

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

26 an effect size of 0.25 measured by Cohen d, F test analysis of variance, and fixed effects.

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

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

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

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

31 It includes a customized one-way ANOVA F-test and a post-hoc test for pairwise group comparison

32 neralized Linear Model with Quasi-Likelihood F-test and Magnitude-Altitude Score (GLMQL-MAS), a metho

33 Fisher's r-to-z transformation, F-test and R(2) increment in multivariate regression wer

34 Applying the F-test and t-test, the results showed no significant dif

35 eralized Linear Models with Quasi-Likelihood F-tests and the Magnitude-Altitude Scoring (GLMQL-MAS) t

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

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

38 rceptron (MLP) as the classifier, along with F-test as the feature selection method.

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

40 F-test based feature selection resulted in 8 proteins di

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

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

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

44 F tests compared the variance of activation time estimat

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

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

47 Moreover, birds fed test diet containing APS21 recorded better (P < 0.05

48 The results indicated that birds fed test diets APS21 and APS20 recorded the highest (P <

49 lt patients using Chi-square tests, Fisher's F test for qualitative variables, Student's t-test, and

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

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

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

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

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

55 The ParaSight F test is one such device.

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

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

58 ssover study, 55 infants (aged 8-12 mo) were fed test meals fortified with 1 of the following: 1) 5.0

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

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

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

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

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

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

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

66 arkinson's disease than in healthy controls (F-tests, P = 0.0036).

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

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

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

70 cipants were enrolled, 1426 had Xpert HCV VL FS testing performed, and 1386 had a valid result.

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

72 RNA is first detected with the Xpert HCV VL FS test, rather than HCV RNA quantification, although th

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

74 0.34 +/- 0.04, and 0.29 +/- 0.04 (P < .001, F test), respectively, which was inversely correlated to

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

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

77 Group-level ANOVA ( F test) revealed a significant difference between groups

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

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

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

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

82 F test statistics were used to test across-group differe

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

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

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

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

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

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

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

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

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

92 F test was utilized for comparing methods at confidence

93 The unequal variance t test and the F test were used to compare mean dose and variances, res

94 Two-tailed Mann-Whitney U and F tests were used to assess differences in CSF velocity

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

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

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

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

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

100 Statistical tests included t tests and F tests with a type I error threshold (alpha) of .05.

101 rson correlation, Bland-Altman analysis, and F tests with Bonferroni correction.

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

103 Brown-Forsythe (B-F) tests with Games-Howell post-hoc adjustments were con

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