ライフサイエンスコーパス: variance

1 6.9 mum in Indians (P < 0.001 by analysis of variance).

2 01 by permutational multivariate analysis of variance).

3 es, explaining more than 50% of the observed variance.

4 f QT-interval variance indexed to heart rate variance.

5 ly accounts for a small fraction of observed variance.

6 ional and non-emotional dimensions of facial variance.

7 buting up to 16.00% (+/- 3.00%) of the total variance.

8 nalysis provide new evidence to support this variance.

9 dex of dispersion, kurtosis, mean, skewness, variance.

10 low-frequency variants explain most of this variance.

11 for most genes that have a change in genetic variance.

12 ndary traumatic stress, explaining 9% of the variance.

13 mutations underlying P3.p's high mutational variance.

14 n a significantly greater proportion of that variance.

15 omial tests or repeated-measures analysis of variance.

16 , whereas MS explained 1 to 2% of the immune variance.

17 about seasonal differences and microclimate variance.

18 ther readers (nonoutliers) using analysis of variance.

19 d we can compute calibrated estimates of the variance.

20 tes with the strongest correlation to timing variance.

21 top four PCs explain nearly 33% of the total variance.

22 lutional neural networks while achieving low variance.

23 fitted white noise term for the growth rate variance.

24 se five factors explained 25.7% of the total variance.

25 and multivariable analyses and explained 13% variance.

26 Time of Assessment) mixed-method analysis of variance.

27 enerate too little facilitation and too much variance.

28 still increased adult production and reduced variance.

29 gions explained at least 3.4% of the genetic variance.

30 associated with the trait means and/or trait variances.

31 at each QTN was either 0.2, 0.4 or 0.8 with variance 0.2.

32 ces (0.04889 +/- S.D. 0.00468) and haplotype variance (0.00001).

33 ntitative trait with population mean 100 and variance 10.

34 cluster, defined as the proportion of total variance accounted for by between-cluster variation.

35 used to capture the key dimensions of facial variance across frames.

36 lantic Oscillation sufficiently close to the variance-adjusted ensemble-mean forecast North Atlantic

37 mall effect sizes and disentangle the shared variance among different brain-imaging or behavioral var

38 ultivariate pattern analysis to infer shared variance among measures of cognitive function and neural

39 Inter-cycle variance analysis in the MU-mode space confirmed the exi

40 A 2-way analysis of variance analyzing solution, time, and solution-time int

41 urrence, abundance, fidelity, inter-seasonal variance and age) and performance (body condition, muscl

42 We show how clusters can decompose the variance and covariance in risk for disease, thereby ide

43 mical site explained 54% (q = 0.0004) of the variance and differences between the term and preterm gr

44 Where traditional methods use variance and distance metrics for data compression and v

45 Mixed-model analysis of variance and Kaplan-Meyer method was accessed, as approp

46 Subjects' responses also showed greater variance and longer reaction times when responding to th

47 Substantial within-group variance and overlap between groups were observed.

48 Our multitaper MIF estimator produces low variance and performs better than all other estimators i

49 Data were subjected to an analysis of variance and principal components analysis.

50 While dynamic GWPs consider temporal variance and provide useful estimates for the warming ov

51 tilizations generally reduced the plot-level variance and simultaneously re-established spatial struc

52 Both end point variance and trajectory irregularities correlated with A

53 Analysis of variance and Tukey honest significant difference post ho

54 One-way analysis of variance and Tukey honestly significant difference were

55 was applied (explaining 68.43% of the total variance), and the higher concentration of ethyl decanoa

56 nter- and preictal periods in terms of mean, variance, and entropy of these signals.

57 ive statistics, t-tests, one-way analysis of variance, and Pearson or Spearman's correlation analyses

58 component (PC1) explained 27.7% of the total variance, and the PC1 score exhibited consistent correla

59 commonly used existing method - analysis of variance (ANOVA) - and show that ANOVA assumptions are o

60 ndently by 2 masked graders, and analysis of variance (ANOVA) tests were used to compare areas of RNP

61 lized absolute deviation (MNAD), analysis of variance (ANOVA), and coefficient of variation (CV) were

62 sizes were compared using analysis of normal variance (ANOVA).

63 ons of different factors to total phenotypic variance are still unclear.

64 dicators - the autocorrelation (AR1) and the variance - are found particularly useful in providing in

65 important in explaining the cRNFL thickness variance as was age, which is well established to have a

66 underlying construct explaining most of the variance, as assessed by Principal Component Analysis, w

67 oth to estimate the proportion of phenotypic variance attributable to GxE effects and to test for GxE

68 ncreasing autocorrelation and 74% increasing variance beforehand, whereas for decreases in vegetation

69 s in combination with differences in climate variance between locations and time periods for which mo

70 Measured ATP concentrations exhibited high variance between replicates and a strong negative trend

71 /(238)U elemental ratio, and (2) there is co-variance between the molecular hydrides and oxides.

72 ndorsed social harms accounted for explained variance beyond simply holding conservative views.

73 Monkeys showed a pro-variance bias (PVB): a preference to choose options with

74 mutations per cell; massively increasing the variance both within and between subjects; and generatin

75 Reductions in variance can also be obtained, however, and the overall

76 acia species to explore how traits and their variances change with aridity.

77 Poisson regression with robust error variance, clustered by site adjusting for calendar year,

78 RRD patients who underwent repair, estimated variance coefficients were 0.07 for geography and 3.37 f

79 f internalizing symptoms to separate symptom variance common to both anxiety and depression from that

80 under aquaculture conditions, we performed a variance component analysis in four mapping populations

81 While variance components analysis has emerged as a powerful t

82 Here, we present a method for variance components analysis that is accurate and effici

83 s (GP)-based approach for estimating dynamic variance components and heritability as their function.

84 age baseline method that first estimates the variance components at each time point independently and

85 trait genetics, existing methods for fitting variance components do not scale well to large-scale dat

86 new methods based on population genetics and variance components models to build between-tumor and wi

87 efficient: capable of estimating one hundred variance components on a million individuals genotyped a

88 genotype by environment interaction (G x E) variance components, and (iii) evaluate the relative sta

89 top 25% quantile, up to 5% of the expression variance could be predicted.

90 varies by computing the Channelized Response Variance (CRV) on 30 years of remotely sensed imagery of

91 ents, yielding analyte measurement center of variance (CV) from 3 to 6%.

92 Humidity showed the highest degree of variance description (19.2%) than all other environmenta

93 nd they captured a significant amount of the variance during the bimanual loads.

94 generalized estimating equation with robust variance estimator for the top three differential diagno

95 illustrate the calculation of an imputation variance estimator proposed by Robins and Wang (RW) in a

96 l and Poisson regression model with a robust variance estimator.

97 We further compared these 2 variance estimators with a simulation study which showed

98 wing investigators to estimate the degree of variance expected from processing delay for measurements

99 We found that the amount of variance explained by models predicting mortality was li

100 ed R(2)(V) between 0.28 and 0.89, %LOF < 6%, variance explained over 99%, and similarity between pure

101 Variances explained by adult-based GRSs for disease-rela

102 working-memory capacity explained 34% of the variance, followed by language aptitude (17%), resting-s

103 r is uniformly bounded, achieves the minimum variance for an unbiased estimator, and we can compute c

104 , we applied the program to estimate gametic variance for hundreds of bulls for lifetime net merit, p

105 Variance for immunological analytes was estimated using

106 package, gamevar.f90, for estimating gametic variance for large numbers of individuals.

107 Comparisons were performed with analysis of variance for repeated measures or Friedman test as appro

108 and European populations, the proportion of variance for SUA levels explained by the variants was gr

109 with extreme intercept values will yield low variances for associations of time-fixed exposures with

110 hed with extreme slope values will yield low variances for associations of time-varying exposures wit

111 significant additional power (~12% additive variance) for predicting cancerous phenotypes, beyond PC

112 orage temperature also explained most of the variance (>40%) in Chroma of the jams and L* of raspberr

113 About half the phenotypic variance has been attributed to genetic factors.

114 Identification of specific genetic variances has led to therapeutic innovation and improved

115 NPs specifically associated with the genetic variance heterogeneity of oil concentration, 89% can be

116 e explained 3.7% (95% CI: 0.09, 11.9) of the variance in 1-y LDL cholesterol changes in the intervent

117 near regression model explained 61.1% of the variance in 2017 aggregate scores (p<0.0001), but we fou

118 tes that express a statistically significant variance in a two-sample class comparison: patients and

119 plained 52.8% (males) and 91.0% (females) of variance in adult F/alpha ratios relative to the long-te

120 Body weight explained more of the variance in age at PHV than BMI in both the old cohort a

121 iance in daytime sleepiness and 82.3% of the variance in anxiety [p < 0.001].

122 Storage period explained most of the variance in ascorbic acid (>90%), TMA (>42%) and TP (>69

123 f recent findings on the small proportion of variance in body mass index (BMI) explained by shared en

124 opheles gambiae quantitative and qualitative variance in CHC composition have been associated with sp

125 cted chi trends, resulting in only 8% of the variance in chi trends across years explained by the mod

126 The theoretical model predicts 39% of the variance in chi values across sites and years, but under

127 imentally observed chromosome compaction and variance in compaction are reproduced only with tandem i

128 varied between laboratories, as assessed by variance in control measurements (from 0.1 to 1.5 U/g Hb

129 These findings suggest that variance in CTD penetrance in the 22q11.2DS population c

130 9% of the variance in insomnia, 82.7% of the variance in daytime sleepiness and 82.3% of the variance

131 ivity, accounting for 25% to 35% of regional variance in deformation.

132 WSH scores are powerful tools for estimating variance in DNA methylation patterns and have the potent

133 ems in the Anthropocene to better understand variance in ecosystem service outcomes and identify wher

134 variation in temperature did not explain the variance in emission rates.

135 f additional biological replicates decreases variance in estimates of effect size, due to the propert

136 ional research, because there is significant variance in estimates of the effects of treatment on cos

137 modulated gene sets that explain most of the variance in expression and demonstrate that 76% of them

138 Genetic variance in expression increases at 18 degrees C relativ

139 er total fitness cost, evidenced by a larger variance in fitness explained by inbreeding within these

140 sion and drift, diffusion explained the most variance in frontal and parietal delay-period activity.

141 DynaFit is based on the variance in growth rate of a population of founder cells

142 opulation of founder cells compared with the variance in growth rate of colonies with different sizes

143 of cytotoxic agents, colonies reduced their variance in growth rate when compared with their founder

144 the water body, we explain up to 90% of the variance in H. incongruens growth.

145 held-out test set and explains 47.5% of the variance in in vitro functional data among star alleles

146 ount for an enriched proportion of heritable variance in in-vivo functional MRI signal amplitude.

147 ion (~29-53%) of the simulated decadal-scale variance in individual timeseries of GMSST over 1950-201

148 ng significantly contributed to 86.9% of the variance in insomnia, 82.7% of the variance in daytime s

149 sample, temporal patterns explained the most variance in light sensitivity (48%) and the least varian

150 eneral factor indexed over two-thirds of the variance in longitudinal cognitive change.

151 The MRS explained 1.75% of the variance in MDD (beta = 0.338, p = 1.17 x 10(-7)) and re

152 erm groups explained 5.7% (q = 0.024) of the variance in microbial beta-diversities.

153 Variance in moral conviction also predicts important soc

154 (b) ecological variables explain substantial variance in morphology and (c) ecological character stat

155 nglion cell (RGC) types captured much of the variance in natural spectra [2].

156 , infant theta EEG explained over 80% of the variance in nonverbal skills at age 3 years.

157 ion significantly, and uniquely, explain the variance in normative valent scores associated with IAPS

158 nutrient metric accounted for any additional variance in photosynthetic traits.

159 ften explained less than 10% of the temporal variance in population growth rates.

160 Indeed, the high variance in prey responses is reflected in the variance

161 ion models to quantify the proportion of the variance in R(t) explained by each meteorological driver

162 % credible interval: 6.9%-8.3%) of the total variance in risk for OCD for the best model, and direct

163 otropic fluids, when strained by LC, a large variance in shape response is measured, thus unmasking c

164 The model captured most explainable variance in similarity judgements and produced 49 highly

165 re, because differences in both the mean and variance in soil temperatures between 1 and 4 m deep are

166 generation affordances explained most of the variance in status allocation when competing with cost-i

167 e and soil CH(4) fluxes explained 54% of the variance in stem CH(4) emissions from individual trees.

168 our PGSs significantly predicted 7.9% of the variance in subgroup membership.

169 lt in higher reproductive success or reduced variance in success for females, and there were neither

170 The extent to which patterns of emotional variance in such images resemble more natural ambient fa

171 ignificant, but small, portion (5.8%) of the variance in survival.

172 of testing), captured approximately 10% more variance in test-retest reliability, was 3-5 times more

173 ortheast Pacific warming, declining temporal variance in the Aleutian Low (a leading atmospheric driv

174 PRS explained ~ 1% (p value < 0.0001) of the variance in the general psychopathology factor and ~ 0.5

175 ), body length alone accounts for 42% of the variance in the length of plastic an animal may ingest a

176 hree-month intervals) explained 93.6% of the variance in the naive CFR.

177 equired to explain a significant fraction of variance in the overall pattern of connection weights as

178 abolites expressed with a large within-class variance in the patient class, "control-normalized FRA"

179 the development of nGA explained 91% of the variance in the time to GA development.

180 Moreover, they have greater variance in their compositional features than their real

181 itability estimates explaining 28-42% of the variance in this trait at a population level.

182 n also explains a significant portion of the variance in timing observed when humans take voluntary a

183 t complexity explains from 40% to 80% of the variance in urban concentration of occupations, industri

184 nce in light sensitivity (48%) and the least variance in vomiting (5%).

185 tion in roots than shoots and nonsignificant variances in biomass, chlorophyll (p > 0.19), and peroxi

186 As the GBD 2017 does not provide variances in the estimated death numbers, we were not ab

187 ratoconus percentage index, index of surface variance, index of vertical asymmetry, keratoconus index

188 VI), defined as a log measure of QT-interval variance indexed to heart rate variance.

189 epts as a random effect with a large (fixed) variance, inference for random-slope models becomes feas

190 ied using the tolerance coefficient (TC) and variance inflation factor (VIF).

191 se conditions studied, a large amount of the variance is accounted for by SNPs outside of coding regi

192 anks for populations from NA, 26% and 24% of variance is captured by SST and PP, respectively and in

193 Sea for populations from SE, 21% and 12% of variance is captured by SST and PP, respectively.

194 1.6%, and 12.5%, respectively, of phenotypic variance is explained by GxE interactions and that low-f

195 nt when mutation counts are low and sampling variance is high (e.g., in exome sequencing).

196 s stochastic elements, in diverse phenotypic variance is needed in population health sciences.

197 Variance is usually greater on a chromosome with a non-u

198 (R(2) >= 0.99) and precision (coefficient of variance <= 15%) was achieved.

199 rther analysed with multivariate analysis of variance (MANOVA).

200 en combined, these two power laws led to the variance-mass allometry (VMA), which states that larger

201 ects meta-analyses using the generic inverse variance method.

202 annotations could predict up to 1.5% of the variance observed in the expression of genes with top no

203 -annual timescales dominates, with a maximum variance of 4.9 K(2).

204 requentist methods that allow one to fix the variance of a random effect.

205 indicated that more than 40% of the spatial variance of AGB density deficits in South America and Af

206 over, we found that 87% and 69% of the total variance of daily F(CH4) could be explained by the rando

207 preparation time was inversely correlated to variance of errors on current trials and mean error on s

208 Compared to LDSC, HDL reduces the variance of genetic correlation estimates by about 60%,

209 nine models together contributed 78% of the variance of human scene similarity assessments and were

210 Non-uniformity, as variance of improvement across peaks, was low at 21.1% (

211 TL explaining up to 14% of the total genetic variance of maleness.

212 limited quantitative measure of the mean and variance of resistance following antibiotic exposure.

213 life histories depends on both the mean and variance of resource availability, where depleted and mo

214 riance in prey responses is reflected in the variance of results reported in the few studies that hav

215 e the same expected reward but differ in the variance of reward received.

216 three associations accounted for 4.3% of the variance of serum uric acid.

217 orrelation between the mean and the temporal variance of species abundances.

218 reliably reproduce short-term plasticity and variance of synaptic responses.

219 f NA and SE capture 60% and 42% of the total variance of temporal variations, respectively.

220 ormalizing the between-class variance to the variance of the control class only.

221 We analyze the variance of the motion near the point of transition and

222 ond, we find a new empirical formula for the variance of the observed r(2), equals to 2E[r(2)](1 - E[

223 The variance of this estimator is uniformly bounded, achieve

224 The variance of this signal scales with total uncertainty, c

225 Within-plot variances of glycosidases appeared higher in SG than GG

226 h necessitates only calculating the mean and variances of the non-thresholded voltage and its rate of

227 For group comparisons, analysis of variance or the Kruskal-Wallis test was performed depend

228 this variability depends on interindividual variance or the type of motor task investigated.

229 was significantly decreased CFU (Analysis of variance, p = 0.001) in the photobiomodulation + ADS (0.

230 ulated inflammatory response in (Analysis of variance, p = 0.049) in the photobiomodulation + ADS (33

231 variation in circadian period length using a variance partitioning model.

232 As a key variance partitioning tool, linear mixed models (LMMs) u

233 ults were analyzed using a 1-way analysis of variance, Pearson's chi-square test, and simple linear r

234 oups (permutational multivariate analysis of variance [PERMANOVA] P < 0.001).

235 Within-platform variance predominated for 4 of 12 hERG blocking drugs an

236 ted that the main contributor to methylation variance (principal component one, or PC1) was strongly

237 Data were meta-analyzed using an inverse variance, random effects model.

238 Concerning variance ratios, we found an effect of medication status

239 lated a random-effects model for measures of variance ratios.

240 , the subspace captured more of the bimanual variance related to the contralateral limb (97%) than th

241 C TSPO V(T) accounted for 84% and 92% of the variance, respectively.

242 One-way analysis of variance revealed a statistically significant difference

243 analyzed using Repeated Measures Analysis of Variance (RM-ANOVA).

244 We then show that if resource variance scales with body size due to landscape clusteri

245 wed that HPV16+/p53WT cases have higher ALDH variance score (AVS), a measure of tumor ALDH isoform ex

246 ity to compute residual distances, explained variance, scores, and other results, which cannot be obt

247 h uncaring scores (explaining up to 1.59% of variance; self-contained Q = 0.0306, competitive-P = 0.0

248 R), and 4.6 +/- 1 (FBP); two-way analysis of variance showed a difference on the basis of reconstruct

249 n studies (GWASs) that aim to detect genetic variance significantly associated with phenotypes such a

250 le analyses that also adjust for the complex variance structure of the oral environment.

251 by nonparametric (Kruskal-Wallis analysis of variance) testing of associations between ADC metrics an

252 higher image quality and lower SUV bias and variance than for FD PET PIS.

253 nexpectedly strong sources of gut microbiota variance that differ in distribution between healthy par

254 We also study the fraction of SNPs and of variance that is in common between pairs of predictors.

255 of natural selection or by a high mutational variance, that is the propensity to change under spontan

256 0%) and 15.00% (+/- 6.00%) of the phenotypic variance, the maternal environmental variance was signif

257 cally explain only a small fraction of trait variance, their correlation with the single largest cont

258 fields (n = 3 to 6) and used an analysis of variance to determine if incorporating the fellow eye's

259 tics, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% con

260 nformation, by normalizing the between-class variance to the variance of the control class only.

261 confidence interval (CI) coverage, and bias-variance tradeoff of quantile g-computation and WQS regr

262 ytical reproducibility by CV (coefficient of variance) value of 8.5 +/- 3.1%, and a recovery rate of

263 Most variance was associated with the variability in and inte

264 Analysis of variance was performed to evaluate the signal difference

265 notypic variance, the maternal environmental variance was significant for T1D (P = 1.60 x 10(-24)) an

266 Repeated-measures analysis of variance was used to assess time and group interaction.

267 med using random effects models with inverse variance weighing.

268 ontrols) was used as the outcome for inverse variance weighted Mendelian randomisation, and four othe

269 of Mendelian randomisation using the inverse variance weighted method were: lifetime smoking OR 0.94

270 The main inverse-variance weighted MR estimates based on a combination of

271 Inverse-variance weighted MR was performed as the primary analys

272 tion of targets were generated using inverse-variance weighted random-effects models.

273 for peripheral artery disease in the inverse variance-weighted analysis.

274 ociations were meta-analyzed with an inverse-variance-weighted approach.

275 Inverse-variance-weighted random-effects meta-analysis was used

276 from each study were pooled using an inverse-variance-weighted random-effects model.

277 Inverse-variance weighting was used as main analysis.

278 ed SNP-specific Wald-estimates using inverse variance weighting with multiplicative random effects an

279 Random-effects models, based on inverse variance weights, were conducted.

280 Analyses of variance were performed for all variables, and P < 0.05

281 One-way and mixed-design analyses of variance were used for statistical analysis.

282 Poisson regression models with robust variance were used to evaluate the influence of gingival

283 Pearson's chi-square and analysis of variance were used to test treatment effect of surgery t

284 P = 0.18 (T1D) and P = 0.26 (RA) imprinting variances were not significant.

285 We observed that the oral microbiome variances were shaped primarily by the environment when

286 s the bias due to finite sample size and its variance, were based on the special case that the true p

287 tracted these trajectories and reduced their variance, whereas high-dose AMPH expanded both.

288 u analysis and archival samples demonstrated variance, which potentially was linked to diel migration

289 timated using Poisson regression with robust variance while accounting for the study's complex design

290 resulted in a genetic effect upon phenotypic variance, while no genetic effect was detected when the

291 We find epistasis contributes to phenotypic variance widely.

292 ing on QOL) that accounted for 64.59% of the variance with a total of 13 items, overall Cronbach's al

293 nd remote regions by using Welch analysis of variance with Games-Howell post hoc test for pairwise co

294 tially expressed molecules and aligned their variance with isotype usage, VDJ sequence, metabolic pro

295 These results are at variance with numerous older sleep studies, including fo

296 resentative national sample, and analyses of variance with post-hoc comparisons were conducted to com

297 formula that links the TBR estimation error variance with the CGM recording length.

298 At variance with the highly stable CD49d expression observe

299 ility for their shared and unique phenotypic variance within a classical twin design.

300 ng from competition, choice and reproductive variance within animal mating patterns could have vital