ライフサイエンスコーパス: normality

1 pression data showed a good correlation with normality.

2 vely with crisis and with transition back to normality.

3 onents, under the assumption of multivariate normality.

4 dical reappraisal of the tenet of structural normality.

5 digree collectively tend toward multivariate normality.

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

7 tion must be considered in the evaluation of normality.

8 10 genes surveyed and are inconsistent with normality.

9 r developmental constraints may deviate from normality.

10 3D length (S3DL)-significantly deviated from normality.

11 a transformation approach for improving data normality.

12 s do not satisfy assumptions of multivariate normality.

13 elated and did not satisfy the assumption of normality.

14 y, corresponding to the local upper limit of normality.

15 that the GCDL estimator achieves asymptotic normality.

16 cal aspects such as cyclicity, stability and normality.

17 opy to determine the severity of FECD versus normality.

18 o faithfully predict human scoring of facial normality.

19 ecovery may lag behind subjective reports of normality.

20 tic signatures that characterize disease vs. normality.

21 essing to extract flow domain and local wall normality, (2) a seamless connection between image extra

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

23 e of fibrosis, and its levels reverted up to normality after changing diet in CDA-HFD mice.

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

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

26 Continuous variables were tested for normality and compared using a t test.

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

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

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

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

31 mpetitors under comprehensive simulations of normality and Laplace settings.

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

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

34 for understanding multilevel functioning in normality and pathology.

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

36 40 mg/kg for 7 days restored these levels to normality and showed liver protection, comparable to the

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

38 uous parameters were evaluated for parameter normality and were compared between conventional 4D flow

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

40 ing each day to the fullest, (4) maintaining normality, and (5) not worrying about the future.

41 glycemic variables were log-transformed for normality, and associations between EJL and glycemic out

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

43 We applied the Shapiro-Wilk test to assess normality, and evaluated skewness, kurtosis, and modalit

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

45 ity numerically along their own continuum of normality, and to measure any surgical changes against s

46 f real-world data, where deviations from log-normality are common.

47 ockdown measures and an outlook on return to normality are demanding societal changes.

48 the first to become abnormal, deviating from normality as early as 6 weeks' gestation (OR 0.01, 95% C

49 show that distributions rapidly converge to normality as Nincreases.

50 Rapid mitotic cycles restore normality as the ratio of nuclei to cytoplasm (N/C) incr

51 y test was performed to determine the sample normality, as the data did not follow a normal distribut

52 ndardization framework for evaluation of the normality assumption and examine its performance in rand

53 Although methods for assessing the normality assumption are readily available, they cannot

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

55 Investigating the normality assumption can provide valuable information fo

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

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

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

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

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

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

62 been proposed, they either require the data normality assumption or are inefficient.

63 the real-world significance of examining the normality assumption with examples.

64 We recommend routine examination of the normality assumption with the proposed framework in futu

65 Fisher's Z-transformation test requires the normality assumption, the violation of which would resul

66 sible to transform count data to satisfy the normality assumption.

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

68 Under normality assumptions, the authors develop a confidence

69 ignificance and minimizing the effect of the normality assumptions.

70 means of a paired-sample t-test, considering normality assumptions.

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

72 ependencies) between genes under appropriate normality assumptions.

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

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

75 ransformation was applied to approximate the normality before constructing the AEWMA control chart.

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

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

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

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

80 The asymptotic normality bypasses the computationally intensive calcula

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

82 ults showed that the RI score assumptions of normality, consistent variance across metabolites, and a

83 ctions to the GBM framework to relax the log-normality constraint and better account for the inherent

84 tability, although most of the samples above normality corresponded to nonstable patients.

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

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

87 d male athletes frequently exceeded clinical normality cut points for remodeling-associated echocardi

88 ormal distributions, but these differed from normality depending on ingested particle type.

89 Data were tested for normality, described as Mean +/- SD, compared using pair

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

91 de arbitrary boundaries between disorder and normality, disorder co-occurrence in the modal case, het

92 n age, sex, anthropometric measurements, and normality distribution, we arrive at two datasets of dif

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

94 evealed that this distribution deviates from normality due to the deviations in the tails and the exi

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

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

97 additive genetic effects under multivariate normality for operational reasons.

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

99 The distribution of normality for the training and generated images were hig

100 trary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial

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

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

103 trary boundaries between psychopathology and normality, high symptom co-occurrence, and heterogeneity

104 emented with little regard to assumptions of normality, homoscedasticity, and independence of values.

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

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

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

108 of the day and develop "dynamic markers" of normality in healthy individuals stratified by sex, age,

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

110 ssian distributions, so that deviations from normality in the empirical data indicate the presence of

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

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

113 Excursions from normality include diagnostic markers and causes of disea

114 Histopathologic ab normalities included erythrocyte/platelet aggregates and

115 Usually, multivariate normality is assumed.

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

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

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

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

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

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

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

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

124 Metabolomic data normality is vital for many statistical analyses to iden

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

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

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

128 ath Length and the novel Divergence Index of Normality measures also assessed the performance of the

129 The gross normality of axial structures and organ development sugg

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

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

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

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

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

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

136 metric Mann-Whitney U-test with possible non-normality of measurements.

137 POIROT is robust to non-normality of phenotypes and can adjust for population st

138 eneration, but evidence of the physiological normality of regenerated synapses is missing.

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

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

141 were calculated and presented, based on the normality of the data.

142 Approximate normality of the disequilibria measures are also demonst

143 ametric and nonparametric tests based on the normality of the distribution.

144 The normality of the expression values calculated using four

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

146 The Anderson-Darling test confirmed the normality of the predictions ([Formula: see text] = 0.00

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

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

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

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

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

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

153 l methods that satisfy a statistical test of normality on training data.

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

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

156 ch to test for significance without assuming normality or independence.

157 orm standard methods when the assumptions of normality or stationarity are violated.

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

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

160 y fever are maintained upon return to thermo-normality, potentially providing a lasting benefit.

161 Normality ranges for oscillometry parameters were define

162 f dysregulated gene expression in TB towards normality, rapidly down-regulating type I and II interfe

163 rnative data normalization approach improved normality, reduced skewness, and facilitated application

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

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

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

167 readout, a novel parameter termed 'nucleolar normality score' was developed that measures the ratio o

168 o the regulation of steady-state physiology, normality sensing licensed intraepidermal T cells to res

169 Interruption of TCR-mediated 'normality sensing' had no impact on gammadelta T cell nu

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

171 Simulation studies show that our normality test has well-controlled type I error rates an

172 By tuning a power parameter based on a normality test result, ABC transformation was made to wo

173 Shapiro-Wilk normality test was performed to determine the sample nor

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

175 nt at 5 minutes by using a mixed model after normality test.

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

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

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

179 using SigmaPlot 12.0, with data subjected to normality testing, two-way ANOVA, and post-hoc Holm-Sida

180 d, being considered normal in the Lilliefors normality tests.

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

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

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

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

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

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

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

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

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

190 ale data sets consistently show that two low normality types are very common.

191 Normality was defined with a normal visual field on auto

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

193 model for worry as a function of test result normality was statistically significant (odds ratio [OR]

194 atistics that account for clustering and non-normality, we analyze inequities by flood type (coastal,

195 First, tests for normality were infrequently reported, and parametric hyp

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

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

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

199 surements fell below the reference "range of normality," whereas only 34% were within and 9% were abo

200 o Gaussian traits or traits transformable to normality, while ignoring qualitative traits and realist

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

202 entification, 0.857 for optic, and 0.837 for normality with Google Vertex.

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

204 ross sex and age subgroups, while displaying normality within each country.

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