ライフサイエンスコーパス: statistics

1 valuated by internal 5-fold cross-validation statistics.

2 cs of IC and non-IC adults using descriptive statistics.

3 uated by the Q test in conjunction with I(2) statistics.

4 nd Results database was queried for survival statistics.

5 he responses of other RGCs and natural image statistics.

6 expectations independently of local stimulus statistics.

7 choice predict sufficiently different clonal statistics.

8 upational doses were described using summary statistics.

9 s with the onset of both RSB and Levy flight statistics.

10 alization and informative scores and summary statistics.

11 ted genomic loci not captured by established statistics.

12 ere summarized using nonweighted descriptive statistics.

13 ng bifactor models based on global model fit statistics.

14 rion level was assessed by using Cohen kappa statistics.

15 significantly higher level according to the statistics.

16 cuits, and for the analysis of natural image statistics.

17 ing information were shown using descriptive statistics.

18 dictive results compared with simple summary statistics.

19 under asymptotic conditions, the same clonal statistics.

20 l, or "hotspot," somatic mutation enrichment statistics.

21 Study of Ageing linked with Hospital Episode Statistics.

22 ulation runs in order to build up sufficient statistics.

23 accordingly, in a way predicted by Bayesian statistics.

24 (ROC) curves and area under the curve (AUC) statistics.

25 hms, unfair evaluation, and lack of rigorous statistics.

26 ionally emphasized the use of simple summary statistics.

27 observer reliability was assessed with kappa statistics.

28 mic condition of the region, and immigration statistics.

29 inkage on the estimated effects and the test statistics.

30 culture conditions and analysed via Taguchi statistics.

31 terval estimation and corresponding official statistics.

32 whole-genome sequencing data using Bayesian statistics.

33 ction in tumor, based on rigorous and robust statistics.

34 rom CoMM, CoMM-S2 requires only GWAS summary statistics.

35 evaluated by Cox regression and Kaplan-Meier statistics.

36 ence to the "true" RBF and estimated various statistics.

37 nformation through a network as well as node statistics.

38 survival (OS) from relapse and Kaplan-Meier statistics.

39 semble of single vesicles providing detailed statistics.

40 uantitatively by a pathologist share similar statistics.

41 e alteration of reaction rates using quantum statistics.

42 lection-related parameter alpha from summary statistics.

43 onse classifications with Krippendorff alpha statistics.

44 voxelwise analysis with tract-based spatial statistics.

45 cross space in accordance with natural scene statistics.

46 nimals and tools that shared comparable gist statistics.

47 ehavioural responses adjusted to match these statistics, a process that required cortical activity an

48 ferential privacy (DP) while sharing summary statistics about genomic data.

49 ACCOST (Altered Chromatin COnformation STatistics) accomplishes this goal by extending the stat

50 otropic loci is to meta-analyze GWAS summary statistics across multiple traits.

51 90 m segments on highways relative to median statistics across the entire sampling domain.

52 by population as well as visualization of LD statistics allows the user to easily trace geographic al

53 visiting probabilities, that is, first-order statistics, also play a role in determining the relation

54 In contrast, interactions based on contact statistics among folded globular protein structures repr

55 Tract-based spatial statistics analysis showed significantly increased axial

56 Descriptive statistics and 2 x 2 contingency tables were assessed at

57 Descriptive statistics and a binary logistic regression model were u

58 alink (2007-2015) linked to Hospital Episode Statistics and census data.

59 We generated descriptive statistics and compared pre- and posttreatment uBPA conc

60 Descriptive statistics and Fisher exact tests were used for analysis

61 C(2)Cl(4), we extrapolated using population statistics and found South African emissions of 8.9 (7.4

62 Descriptive statistics and generalized estimating equations were per

63 data analysis challenges (i.e., multivariate statistics and lipid identification) involve performing

64 otocol for 10 species and analyzed through F-statistics and Mantel tests.

65 clearly commensurate with the optical image statistics and morphological analysis; and it is driven

66 Using descriptive statistics and multivariate logistic regression, we exam

67 Descriptive statistics and multivariate logistic regressions were us

68 arch Datalink linked to the Hospital Episode Statistics and Office for National Statistics databases.

69 arch Datalink linked to the Hospital Episode Statistics and Office for National Statistics databases.

70 We used chi2 statistics and ordinal regression to assess the signific

71 n be used to integrate, view and browse test statistics and perform genome annotation.

72 ically arises from the joint effect of Fermi statistics and repulsive Coulomb interactions, which fav

73 y distributions on the nanoscale using image statistics and show that the type of nanospatial distrib

74 We used descriptive statistics and Spearman's correlation coefficient to inv

75 cation in dPCR based on multivariate Poisson statistics and suggest reducing the digital occupancy in

76 ng data from city HIV surveillance and vital statistics and the National Death Index.

77 ntermediate experience in bioinformatics and statistics and using R with Bioconductor extensions.

78 y machine-learning algorithms using survival statistics and was compared to conventional algorithms.

79 onsider combinations of conventional summary statistics and/or richer features derived from inferred

80 ity assessment via inter-annotator agreement statistics, and a user-friendly interface convenient for

81 y share their diverse expertise in analysis, statistics, and computation.

82 people; they include research, public health statistics, and eligibility rules for privileges or bene

83 ined descriptive safety and pharmacokinetics statistics, and estimated efficacy results from a longit

84 ompiled from country-based surveys, official statistics, and published studies found through a litera

85 its visual message - reflected natural image statistics, and resembled the receptive field only when

86 Crises in science concern not only methods, statistics, and results but also, theory development.

87 nomy shows that core values from psychology, statistics, and the philosophy of science emerge from a

88 MinION read quality, mapping statistics, and variant calling were computed using an i

89 nt discrimination cue while high-order sound statistics are integrated slowly and contribute substant

90 The first, where stimuli statistics are learned and integrated with representatio

91 Currently, airline performance statistics are published with a three month delay.

92 Extreme events and the related anomalous statistics are ubiquitously observed in many natural sys

93 State-space models with Gaussian statistics are widely used for estimation of such latent

94 e use our methods to predict stripe and spot statistics as a function of varying cellular communicati

95 ensitivity to a large set of grayscale image statistics at a striking level of detail, and also ident

96 cated to visualizing population genetic test statistics at the genomic level is needed.

97 t the evaluation of the significance of test statistics based on asymptotic theory can be imprecise.

98 Data were analyzed using descriptive statistics, bivariate analyses, and multivariable regres

99 compositionally, depending on previous task statistics, but it is unknown whether humans modulate th

100 ring, correlation analysis, and multivariate statistics can be employed to guide chemical analysis, t

101 These neural ensemble correlation statistics capture high-order sound structure and allow

102 e performance for sequences whose underlying statistics change over time, and enables the model to ca

103 We show that these multiscale statistics clearly differentiate species' architecture a

104 s in animal biology, experimental design and statistics convened in Blonay, Switzerland, to discuss s

105 Descriptive statistics, correlations, and ANOVA were performed to co

106 effect of high pressure on the nuclear spin statistics could not be directly measured.

107 We collected GWAS summary statistics data for a wide range of human traits and dis

108 The Hospital Episode Statistics database was used to identify adults in Engla

109 l Episode Statistics and Office for National Statistics databases.

110 l Episode Statistics and Office for National Statistics databases.

111 y antireflux surgery in the Hospital Episode Statistics dataset, 811 (3.6%) had surgical reinterventi

112 tifying network architecture with multiscale statistics describing elongation ratios, circularity rat

113 cal loop decomposition to extract a range of statistics describing scale transitions in vein and areo

114 ine learning, we extract detailed behavioral statistics describing the locomotion, pose, biting, and

115 an models were prospectively validated and C-statistics estimated.

116 Data were evaluated using standard statistics, Fisher exact tests, and Wilcoxon rank sum te

117 endent genome-wide association study summary statistics for ADHD (19,099 cases and 34,194 controls),

118 red t test for continuous endpoints or Kappa statistics for categorical endpoints.

119 uisition time required to collect sufficient statistics for each test is ~ 3 h.

120 We applied mtCOJO to summary statistics for five psychiatric disorders from the Psych

121 Summary statistics for genetic variants strongly associated with

122 erived age and sex stratified CMV prevalence statistics for Germany, Poland, UK, and Chile.

123 Leveraging large-scale summary statistics for migraine (N(cases)/N(controls) = 59,674/3

124 of the approach, identify the most important statistics for parameter estimation, and compare the res

125 The SWME method tended to have greater DOA statistics for PET than the OAME method with all availab

126 Data were analyzed using descriptive statistics for sample characteristics.

127 Summary statistics for the base phenotype were derived from the

128 managed by the Italian National Institute of Statistics for the years 2004-2016.

129 tiqued work, and then comparing the ensemble statistics for these methods.

130 The recently introduced [Formula: see text]-statistics framework predicts distribution functions wit

131 s 49 tissues from GTEx (v8) and GWAS summary statistics from 114 complex traits.

132 We obtained summary statistics from 27 published genome-wide association stu

133 t how polygenic risk scores based on summary statistics from a European-based genome-wide association

134 pression quantitative trait loci and summary statistics from a PAH genome-wide association study.Meas

135 formed, it may be challenging to get summary statistics from both exposure-stratified and marginal (i

136 lowing covariate values to these pairs: GWAS statistics from genetically correlated bipolar disorder,

137 We analyzed summary statistics from genome-wide association studies data for

138 assessing heritability models using summary statistics from genome-wide association studies.

139 mechanism for privacy-preserving sharing of statistics from genomic datasets to attain privacy guara

140 ived widespread interest for sharing summary statistics from genomic datasets while protecting the pr

141 Using extensive income-expenditure statistics from India, here we show how a self-consisten

142 ables efficient computation by using summary statistics from standard eQTL analyses.

143 rks from images and in extracting multiscale statistics from subsequent network graph representations

144 sure and in the marginal model using summary statistics from the "joint" model.

145 s of omics data were integrated: (1) summary statistics from the AFGen 2017 GWAS; (2) a whole blood E

146 MS susceptibility as measured using summary statistics from the International Multiple Sclerosis Gen

147 In this study, we used summary statistics from the largest available meta-analyses of g

148 ith the TWAS FUSION method, based on summary statistics from the largest genome-wide association anal

149 e samples with African ancestry with summary statistics from the Psychiatric Genomics Consortium (PGC

150 ng simulated data, and show that calculating statistics from tree sequences using this general framew

151 l measures used in these studies are summary statistics from voxelwise measures in the region, withou

152 A range of spatial statistics have been used to analyse such point patterns

153 Robust statistics have been widely used in multivariate data an

154 expert-opinion, and 'implementability-score-statistics') identified Six-Actionable Recommendation Th

155 We find entrainment to environmental statistics in both species.

156 Comparative analyses of survival and funding statistics in cancers with high mortality were performed

157 loped a simple framework to estimate summary statistics in each stratum of a binary exposure and in t

158 ed to estimate the null distribution of test statistics in order to achieve the desired false positiv

159 ent an R/Bioconductor package, named struct (Statistics in R using Class-based Templates), which defi

160 We start with summary statistics in the form of SNP effect sizes from a large

161 d hospital admissions data (Hospital Episode Statistics), including adults (>=18 years old) with atop

162 As expected, discrimination c-statistics increased only slightly and ranged from 0.73-

163 transcriptome information using only summary statistics information from GWAS data are required.

164 ted whether interaural time difference (ITD) statistics inherent in natural acoustic scenes are param

165 ic variants play, by using only GWAS summary statistics instead of individual-level GWAS data.

166 Robust statistics is a family of theories and techniques aim to

167 The most common form of combining statistics is a sum of SNP-level squared scores, possibl

168 on between weight structure and input/output statistics is fundamental for understanding the computat

169 d from genome-wide association study summary statistics is not yet on a par with APOE e4, a better-es

170 across categories, quantified by image gist statistics, is highly correlated with the different neur

171 at even though CoMM-S2 utilizes GWAS summary statistics, it has comparable performance as CoMM, which

172 Descriptive statistics, Kaplan-Meier survival curves and Cox proport

173 ts can capture data properties beyond simple statistics, like frequent patterns, spatial changes, out

174 nts were based on National Center for Health Statistics live birth data.

175 Building and expanding on principles of statistics, machine learning, and scientific inquiry, we

176 Clarity, objectivity, and statistics make demands on the quality of the numbers th

177 ze neuronal activity to form sequences whose statistics match experimental observations.

178 Summary statistics (mean and standard deviation of regional volu

179 stability using physically motivated summary statistics measured in integrations of the first [Formul

180 Generalized scan statistics methodology was used to estimate the area und

181 ith reduced statistics, we show that summary statistics modulate the correlations between frequency o

182 Despite these sobering statistics, most bioinformatics and computational biolog

183 onducted using US National Center for Health Statistics natality files for the years 2011-2017.

184 uminance variations, but also at the rate of statistics not available from luminance information alon

185 By integrating RNA-seq data and GWAS summary statistics, novel computational methods allow unbiased i

186 y showing this model can reproduce different statistics observed in real scRNA-seq data.

187 t equations, and both combined resulted in C statistics of 0.61 (95% CI, 0.60 to 0.62), 0.76 (95% CI,

188 el cut-off <=2 points (all P < 0.001) with c-statistics of 0.680, 0.695, and 0.681, respectively.

189 allow for linkage disequilibrium in summary statistics of 5 million dense genome-wide markers and co

190 randomization (GSMR) analysis using summary statistics of a genome-wide association study meta-analy

191 sing Fourier analysis to compare the spatial statistics of body patterning in ten species of darters

192 significant correlation between the spatial statistics of darter patterns and those of their habitat

193 ompute and compare allele frequencies and LD statistics of dbSNP catalogued variants.

194 ws us to formulate precise links between the statistics of environmental challenges and the ants' col

195 of 111 genome-wide association study summary statistics of European (average n ~ 189,000) and East As

196 ramework to implement many currently defined statistics of genome sequence (making the statistics' re

197 ects that alter both the spectrum and photon statistics of HHG, thus departing from all previous appr

198 ons of chromosome territories, and the shape statistics of individual chromosomes.

199 ely efficient DNN surrogate, we revealed the statistics of model responses, providing a detailed pict

200 humans prefer images that match the spatial statistics of natural scenes.

201 urface corresponding with asymmetries in the statistics of natural visual space and behavioral demand

202 work, we have initially discussed the global statistics of neurological disorders reported by WHO and

203 ts, in which both the first and second-order statistics of observations dynamically evolve over time.

204 int analysis (mtCOJO) to adjust GWAS summary statistics of one disorder for the effects of geneticall

205 ere, existing knowledge about structures and statistics of our environment is referred to as prior, w

206 ents that take into account both the sensory statistics of our external environment and perceptual tr

207 The analytic expressions provide the statistics of the acoustic field after forward propagati

208 likelihood via simulation either use summary statistics of the data or are at risk of producing subst

209 ration at atomic resolution by examining the statistics of the energy changes that occur when the loc

210 g of intracellular diffusivity through local statistics of the instantaneous displacements of freely

211 dicted by gender associations encoded in the statistics of the language they speak.

212 lso disclose queen toots and quacks, showing statistics of the occurrence of queen pipes over the ent

213 on by adapting neural responses to the local statistics of the sensory input.

214 tegy depends both on the noise level and the statistics of the signals.

215 diffusion coefficient(3-10) and non-Gaussian statistics of the tracer displacements(6,9,10).

216 omparing internal five-fold cross-validation statistics of the training data.

217 plicit), as well as the corresponding branch statistics of tree shape.

218 ors replicated these findings in the summary statistics of two major published GWASs for anxiety, and

219 ale meta-analysis of our results and summary statistics of two recent insomnia GWAS and 13 significan

220 Jointly, these statistics offer a unique signature to distinguish oppor

221 mpare seroprevalence estimates with official statistics on deaths and cases.

222 Here, we present descriptive statistics on several key domains of assessments, and th

223 e analytic estimation solution using summary statistics only.

224 annot be applied to either GWAS/eQTL summary statistics or cases with more than two possibly correlat

225 Derived from the theory of order statistics, our method controls the false discovery rate

226 Descriptive statistics outlined the frequency of venous thromboembol

227 rom physician claims, hospitalization, vital statistics, outpatient prescription, kidney, and HIV dat

228 ng new features such as query searches and a statistics page, and enabled direct link-outs to chemica

229 n of three tools from nonlinear dynamics and statistics: phase-space reconstruction, mutual cross map

230 of the tools required for understanding the statistics, physics, and dynamics of drought and its cau

231 he world, we make inferences by learning the statistics present in the sensory environment.

232 n using optical flow estimation, descriptive statistics, principal component, and independent compone

233 al constraints, the ideal optimally uses the statistics relating local intensity patterns in moving i

234 enome assemblies are commonly assessed using statistics relating to contiguity of the assembly.

235 ed statistics of genome sequence (making the statistics' relationship to the underlying genealogical

236 emerge because of a failure to learn sensory statistics, resulting in an impaired representation of t

237 The C-statistics results for prediction of prolonged length of

238 Bayesian statistics revealed no interaction between predictabilit

239 D-statistics revealed significant evidence of hybridisatio

240 f mortality was summarized using descriptive statistics; secondary outcome was, risks for mortality.

241 Multivariate statistics showed that flavonoids characterizing PS were

242 Voxelwise statistics showed that the diffusion abnormalities for b

243 results of RINEPTs are further analyzed with statistics software JMP and recommendations for optimal

244 sholds for each cluster using data-dependent statistics, specifically standard deviation and mean.

245 les our approach to also evaluate other test statistics such as SKATs, higher criticism approaches, a

246 We compare individual and global statistics, such as a newly introduced length-weighted a

247 rception showed correlation with natural ITD statistics, supporting our hypothesis.

248 Descriptive statistics, t-tests, one-way analysis of variance, and P

249 ues for the SWME method also had greater DOA statistics than that for the OAME method over relatively

250 ular," they should be treated as descriptive statistics that convey variation in the factors that inf

251 learning is a branch of computer science and statistics that generates predictive or descriptive mode

252 n the potential of combining genetic summary statistics that represent the mutational burden in genes

253 MPORTANCE According to 2017 U.S. agriculture statistics, the combined value of production and sales f

254 Besides standard linear burden-type statistics, this enables our approach to also evaluate o

255 We applied Kaplan-Meier statistics to assess unadjusted survival.

256 ow adjusting pupil dynamics to environmental statistics to augment information transmission.

257 Sharing data with CDC death records and OPO statistics to characterize underlying process and system

258 e auditory system might encode these summary statistics to create internal representations of these s

259 hen applied to current U.S. cancer incidence statistics to estimate the number of new patients each y

260 In this paper, we use [Formula: see text]-statistics to formulate a statistical approach for epide

261 We implemented spatial statistics to identify global-local hotspots and regress

262 In this study, we apply three spatial statistics to locations of CD68+ macrophages within huma

263 ior to randomization; and appropriate use of statistics to monitor studies and analyse their results.

264 in state-trace analysis make use of Bayesian statistics to quantify the evidence for and against a di

265 t linear Ricker growth models using Bayesian statistics to seven time series of elk population survey

266 nd SARS-CoV-2 transmission and extreme value statistics to show that the distribution of secondary ca

267 Applying circular statistics to test for changes in year-round flowering,

268 We subsequently apply multiple spatial statistics to the analysis of eight different mosaics in

269 Descriptive statistics, univariate and multivariable Cox proportiona

270 ross longitudinal time points, network-based statistics unraveled progressive network degeneration or

271 cially those that enable exploration of test statistics using auxiliary information (covariates) to w

272 ndividuals that included these three summary statistics was used as final outcome.

273 armonized protocol using tract-based spatial statistics was used to derive skeletonized maps of fract

274 Next, with current data submission statistics, we demonstrate that the proteomics field is

275 ity data from the National Center for Health Statistics, we employed demographic techniques to pursue

276 e full use of widely available GWASs summary statistics, we extend TisCoMM to use summary-level data,

277 Using full atom counting statistics, we find the lowest resonance to consist of c

278 lution topography, image analysis and crater statistics, we have dated 35 different surfaces in Kasei

279 ncepts of probability theory and inferential statistics, we present a comprehensive theoretical appro

280 textures and synthetic variants with reduced statistics, we show that summary statistics modulate the

281 udent t test, logistic regression, and kappa statistics were applied.

282 C statistics were calculated for AI-ECG AF model output, C

283 Generalized I(2) statistics were calculated, quantifying heterogeneity.

284 Summary descriptive statistics were calculated.

285 Allele statistics were cataloged for each genomic position that

286 mals and tools would remain, when image gist statistics were comparable across categories.

287 sensitivity, specificity, and kappa (kappa) statistics were generated for each diagnosis.

288 outcome data were collected and descriptive statistics were performed on variables of interest.

289 Descriptive statistics were used to summarize baseline patient chara

290 Descriptive statistics were used to summarize mutation and copy numb

291 icism approaches, and maximum-single-variant-statistics, where asymptotic theory might be involved or

292 eral computations thus reflect natural input statistics, whereas central brain activity precisely cod

293 as reflects unsupervised learning of stimuli statistics, whereas choice bias results from supervised

294 ignals, preventing acquiring sufficient data statistics while maintaining temporal and energy resolut

295 essed with clinical parameters using routine statistics, while the diagnostic capacity of individual

296 demonstrate that combining multiple spatial statistics with a maximum likelihood approach better pre

297 andard descriptive analyses included summary statistics with percentages and means.

298 amples of up to 2 cm(2) , pairing multiscale statistics with traits representing axes of resource tra

299 Our analysis shows that k-gram statistics with visibility graph motifs produce fast and

300 Q_Young Person versions have goodness-of-fit statistics within the interval 0.5, 1.5 and person separ