ライフサイエンスコーパス: normality

1 onents, under the assumption of multivariate normality.

2 dical reappraisal of the tenet of structural normality.

3 digree collectively tend toward multivariate normality.

4 ver several decades has been in the study of normality.

5 tion must be considered in the evaluation of normality.

6 opy to determine the severity of FECD versus normality.

7 ecovery may lag behind subjective reports of normality.

8 tic signatures that characterize disease vs. normality.

9 pression data showed a good correlation with normality.

10 vely with crisis and with transition back to normality.

11 tly robust relative to typical violations of normality; (2) presumed statistical prohibitions against

12 y should allow better discrimination between normality and airway obstruction in adults of at least t

13 ate metabolic physiology under conditions of normality and chronic overnutrition.

14 ase state, to assess the structural basis of normality and disease.

15 nkage analysis is sensitive to violations of normality and fails for selected sampling schemes.

16 Just, with his unwavering insistence on the normality and holistic integrity of the egg cell, was on

17 nerated graphs and statistics reflecting the normality and homoscedasticity of residuals can be emplo

18 mpetitors under comprehensive simulations of normality and Laplace settings.

19 al and scientific issues associated with non-normality and measurement scale are reviewed, and three

20 citizenship, rights, the nature of mind, of normality and of ageing) which deserve further philosoph

21 for understanding multilevel functioning in normality and pathology.

22 'Sanctuary', 'loss of normality and perceived independence', 'feeling terrifie

23 40 mg/kg for 7 days restored these levels to normality and showed liver protection, comparable to the

24 Hg was determined to be the cutoff limit for normality and was characterized by a greater discriminat

25 fferent solvent conditions (low and high ion normality) and found a linear dependence between k(D) an

26 n confirmed such as assessment for outliers, normality, and comparison of variances.

27 d function is derived, assuming multivariate normality, and results from econometric theory for param

28 show that distributions rapidly converge to normality as Nincreases.

29 Violation of the multivariate normality assumption can occur if trait data are censore

30 me normal distribution of the phenotype, the normality assumption could be easily violated when pheno

31 hen the normality assumption holds; when the normality assumption fails, the new method still provide

32 Violation of the normality assumption has detrimental effects on the type

33 xisting variance-components methods when the normality assumption holds; when the normality assumptio

34 A common departure from the usual normality assumption in QTL mapping concerns a spike in

35 test is the most valuable procedure when the normality assumption is true and homoscedasticity is pre

36 tuations in which violations of multivariate normality assumptions warrant the permutation test.

37 Under normality assumptions, the authors develop a confidence

38 ependencies) between genes under appropriate normality assumptions.

39 can be computationally slow and are based on normality assumptions.

40 ignificance and minimizing the effect of the normality assumptions.

41 diction equations is provided; the limits of normality (at the 95% confidence level) differed substan

42 nd confidence in health, immediate return to normality, avoid burdening specialty services, redundanc

43 hich persisted up to 4 weeks, but reduced to normality by 10 weeks.

44 The synapse number can be rescued to normality by depleting surface ProN levels through prodo

45 ders are separated from one another and from normality by natural boundaries (zones of rarity).

46 r infinite sequences, we considerably refine normality, by providing methods for constructing diverse

47 The asymptotic normality bypasses the computationally intensive calcula

48 Arithmetic and geometric normality cannot be distinguished for 21 of 28 variables

49 ternatives were used for variables for which normality could not be assumed.

50 be more rigorous than NIST's suite and Borel-Normality criterion and its implementation is straightfo

51 meters offers an analytical context for the "normality/disease" dichotomy.

52 st to test for differences in variances when normality does not hold.

53 and model expectation became consistent with normality, experimental variability was reduced, and dat

54 Limits of normality for LA volumes and total LA emptying fraction

55 additive genetic effects under multivariate normality for operational reasons.

56 The 2.5th and 97.5th percentile limits of normality for the rim-to-disc area ratio asymmetry in th

57 An LCI below the upper limit of normality had a high negative predictive value (93%) in

58 rapidly after treatment, but this return to normality has been neither demonstrated nor quantified.

59 nd, he stressed the importance of the egg's "normality"--how well its condition in the laboratory cor

60 of support, impact of symptoms, striving for normality, impact of diagnosis, positive experiences, an

61 al statistically-significant deviations from normality in all of the analyzed cancer genomes.

62 erformance when using algorithms that assume normality in the data, such as k-means clustering.

63 ssion analysis: that "small" departures from normality in the expression data distributions are analy

64 Differences from normality, in the fluorescence responses, can lead to di

65 Histopathologic ab normalities included erythrocyte/platelet aggregates and

66 Usually, multivariate normality is assumed.

67 endent, following the Hofmeister series when normality is considered: SO(4)(2)(-) approximately citra

68 r alternatives are distinguishable geometric normality is consistently and strongly favored.

69 val for the 12 fluctuating traces: geometric normality is favored by a factor of ca. 10(60).

70 rval for the 8 fluctuating traces: geometric normality is favored by factors of 10(8) or more.

71 In the latter case, normality is generally assumed for the trait.

72 Patient satisfaction is up, return to normality is higher, and requirement for postrehabilitat

73 mality testing should be performed to ensure normality is tested in the correct coordinate system.

74 One possible way of achieving normality is to transform trait values.

75 ularly their correlational structure and non-normality, make simple similarity metrics such as Euclid

76 he law of error has two forms, and resulting normality may be arithmetic-where equivalent positive an

77 from expectation differ by equal amounts, or normality may be geometric-where equivalent deviations d

78 The gross normality of axial structures and organ development sugg

79 g logarithms to represent both the geometric normality of biological variation and the relative funct

80 uation approach is robust to departures from normality of continuous multiple phenotypes and the miss

81 tric or nonparametric tests depending on the normality of data.

82 At this time, improvement/normality of left ventricular ejection fraction (LVEF),

83 es, left atrium enlargement, and improvement/normality of LVEF at 6 months emerged as independent pre

84 At 6 months, improvement/normality of LVEF was observed in 53% of patients.

85 eventive TCS regimens that achieve objective normality of skin color and texture and are used by comp

86 s of microarray experiments and possible non-normality of the data.

87 Approximate normality of the disequilibria measures are also demonst

88 The normality of the expression values calculated using four

89 monly used as a straightforward way to reach normality of the model outcome.

90 In addition, it is not necessary to assume normality of the quantitative trait.

91 are expected to be relatively robust to non-normality of the trait distribution and also to selected

92 of parameter misspecification, effect of non-normality of the trait distribution, and effect of incor

93 that during the approach to the longitudinal normality of the transverse mean concentration at the ti

94 re general assumptions, we derive asymptotic normality of this estimator and construct confidence int

95 thods to test the effects of deviations from normality on gene calling, functional annotation, and pr

96 al echocardiography for early reassurance of normality or a prenatal diagnosis of a cardiac malformat

97 g assumptions (e.g., asymptotic multivariate normality or independence among the tests).

98 se, expression of affected genes returned to normality, possibly as a result of autophagy and CL-20 d

99 duodenum, compared to lean, and returned to normality post-LSG.

100 or after inclusion of age, electrocardiogram normality, renal insufficiency, arrival mode, chief comp

101 es included techniques that adjusted for non-normality, repeated-measures, and regression analyses.

102 l relationships, difference and striving for normality, school experiences, and emotional well-being

103 ly analyzed using D'Agostino-Pearson omnibus normality, Spearman rho rank, Kruskal-Wallis, and Dunn t

104 al analyses included descriptive statistics, normality test, and a multicomparison of medians for ind

105 ally distributed by passing the Shapiro-Wilk normality test.

106 cation and regression tree, and Shapiro-Wilk normality test.

107 on of the data to polar coordinates prior to normality testing should be performed to ensure normalit

108 t locus-detection procedure to violations of normality that are due to these factors.

109 ely identify the significant deviations from normality that could be associated with disease states.

110 e readout of these assays and thresholds for normality, the evaluation of their performance in detect

111 tuate randomly show arithmetic and geometric normality to be indistinguishable.

112 Wilk W tests assessed these measurements for normality to determine the age-appropriate radial distan

113 ression whose cognitive function ranged from normality to mild dementia was assessed with the Philade

114 -regulation abilities along a continuum from normality to pathology.

115 y of human med12 RNA into zebrafish restores normality to the mot mutant and, strikingly, leads to pr

116 Under a standard assumption of multivariate normality, two suggested methods of ascertainment correc

117 Normality was defined with a normal visual field on auto

118 Complete mucosal normality was maintained in 27 (22%) of 122 patients in

119 Reference values (lower limits of normality) were as follows: 6-segment RVLS, -24.7+/-2.6%

120 effective charge measurements, under low ion normality where the electroviscous effect can dominate,

121 tainers were positive and progressing toward normality, whereas those of the relapsers and controls w

122 o be the most useful parameter in describing normality with consistency.

123 proved with histopathologic evaluation, and normality, with 6-month follow-up.

124 glucose concentrations in the lower range of normality would result in critical brain glucose levels.