ライフサイエンスコーパス: statistics

1 armacological manipulations and spike timing statistics.

2 nalysis of multiple traits with GWAS summary statistics.

3 del naturally accounts for these 'universal' statistics.

4 AE reports was analyzed with weighted kappa statistics.

5 heir versatility when facing different input statistics.

6 d genes, of which 97 were detected from both statistics.

7 not apparent through typical differentiation statistics.

8 variables is one of the fundamental tasks in statistics.

9 correlated with the lesion site using t-test statistics.

10 e that can be described by the Bose-Einstein statistics.

11 preservation of non-classical photon-number statistics.

12 regression derived from summary association statistics.

13 that it also impacts mixed model association statistics.

14 possible donors, leading to ambiguous donor statistics.

15 FCCA substantially outperforms the ten other statistics.

16 y than actually exists according to national statistics.

17 ical quantum states that exhibit non-Abelian statistics.

18 arch times and improving accuracy of E-value statistics.

19 (now NHS Digital) and the Office of National Statistics.

20 ere calculated using competing risk survival statistics.

21 calizing genetic risk variants using summary statistics.

22 r alignment as a vector field using Circular Statistics.

23 ggest different conclusions from the summary statistics.

24 rimental observations under several stimulus statistics.

25 otocol agreement was assessed by using kappa statistics.

26 als, metabolites' VIP values, and univariate statistics.

27 of methods that analyse summary association statistics.

28 red by inherent limits of pathway enrichment statistics.

29 e, or the article did not include sufficient statistics.

30 carcinoma incidence rates and our log-based statistics.

31 ssessed discrimination improvement through c-statistics.

32 mewhat correlated, or highly correlated test statistics.

33 d after six evaluations) using nonparametric statistics.

34 ctural damage were assessed with voxel-based statistics.

35 covariance between traits using GWAS summary statistics.

36 pproximate the significance of Bayesian-type statistics.

37 sistent with improved estimation of baseline statistics.

38 tive to abundance changes than other ranking statistics.

39 e findings can be explained by environmental statistics.

40 microvascular and cardiovascular outcomes, C-statistics 0.54-0.62, slopes 0.06-1.12) and the American

41 rate internal and external discrimination (C-statistics 0.55-0.84 internally, 0.57-0.79 externally) a

42 non-fatal myocardial infarction or stroke, C-statistics 0.61-0.66, slopes 0.30-0.39).

43 m) showed the overall best discrimination (C-statistics, 0.70; 95% confidence interval [95% CI], 0.67

44 ngiographic indices was particularly weak (C statistics: 0.524 for DSVE and 0.511 for DSQCA).

45 UGENE that (1) is applicable to GWAS summary statistics; (2) considers both cis- and trans-eQTLs; (3)

46 A bin-based clustering method that uses statistics accumulated in bias exchange metadynamics tra

47 st and coma from publicly reported mortality statistics after percutaneous coronary intervention.

48 Consistent with national prevalence statistics among adults, breast, prostate, and lung canc

49 MR imaging data and the Tract-Based Spatial Statistics analytic pipeline to first analyze fractional

50 ic data repository for GWAS data and summary statistics and already includes published data and resul

51 merged from the synergy of computer science, statistics and biology.

52 in application to collaboration networks in statistics and computer science and to Wikipedia network

53 Statistics and detailed information are generated and di

54 in both systems, and show that both the slip statistics and dynamics are independent of the scale and

55 l datasets, we calculated population genetic statistics and evaluated population structure, and for R

56 chi2 Statistics and Fisher exact tests were used to evaluate

57 evant cell types and genes from GWAS summary statistics and gene expression data.

58 observer agreement was estimated using kappa statistics and Gwet second-order agreement coefficient.

59 Data were analysed with descriptive statistics and in the intention-to-treat population.

60 A combination of Fermi-Dirac statistics and k.p theory with consideration of quantum

61 al evaluation of the data behind the summary statistics and may be valuable for promoting transparenc

62 t of symptom report was analyzed using kappa statistics and McNemar tests.

63 Descriptive statistics and mixed models analyses assessed difference

64 Descriptive statistics and multivariate logistic regressions were co

65 Data analyses included descriptive statistics and multivariate random intercept logistic re

66 images are usually poor because of low count statistics and noise.

67 genes, visualize results and provide summary statistics and other reports using a single command.

68 records from the National Center for Health Statistics and population counts from the US Census Bure

69 records from the National Center for Health Statistics and population counts from the US Census Bure

70 Initial data analyses relied on descriptive statistics and stratified analyses.

71 By linking visualizations of both statistics and structures, users can gain more insights

72 Data were analyzed using descriptive statistics and supplemented with Bayesian ordinal model-

73 nterreader agreement was assessed with kappa statistics and the intraclass correlation coefficient (I

74 id substitution matrices from the prediction statistics and use them to predict effects of mutations

75 ality with data from the Office for National Statistics and used to generate lifetime risks of revisi

76 of a well-known concept in systems biology, statistics, and control theory-that of parameter structu

77 US Census Bureau, National Center for Health Statistics, and Human Mortality Database to estimate cou

78 Net reclassification, C statistics, and integrated discrimination improvement we

79 epts, including graphical models, sufficient statistics, and message-passing, and then describe how t

80 tive and negative likelihood ratios (LRs), C statistics, and other operating characteristics.

81 oach involving paleoenzymology, evolutionary statistics, and protein structural analysis, we could tr

82 structure, assessed with tract-based spatial statistics, and reduced thalamic volume (p < 0.0001), an

83 definition, patient and hospital adjustment, statistics, and sensitivity analyses.

84 ensus Bureau, the National Center for Health Statistics, and the Human Mortality Database from 1980 t

85 ally, the VarMatch software provides summary statistics, annotations and visualizations that are usef

86 aluate performance, the QRFCCA and ten other statistics are applied to the whole genome sequencing da

87 Pancreatic cancer statistics are dismal, with a 5-year survival of less th

88 ell distributions whose ground truth summary statistics are known.

89 In each case, forcing statistics are non-Gaussian, with long tails correspondi

90 ousands of neighborhoods and show that their statistics are scale-dependent and point to the critical

91 that aggregate the results and calculate the statistics, are solved with a double-linked tree.

92 nce were analyzed with uni- and multivariate statistics, as well as internal validation and propensit

93 group analyses examined differences in kappa statistics based on age, race, marital status, education

94 Comparison of this statistics-based description with new NMR experiments da

95 omplete solution for the problem of abuse of statistics, but methodological training needs to cover c

96 ed by using both multivariate and univariate statistics by using the clinical metadata to inform the

97 osition statistics calculation, read quality statistics calculation, quality filtering, homopolymer f

98 provided by VDJPipe include base composition statistics calculation, read quality statistics calculat

99 Statistical analysis included descriptive statistics, calculation of concordance, McNemar test res

100 ng additional genomic data with multivariate statistics can help identify cancer drivers and guide th

101 0 cities who responded to the mandatory 2001 Statistics Canada long-form census.

102 The cohort has been linked by Statistics Canada to the Canadian mortality database and

103 Provincial live births were obtained from Statistics Canada.

104 Tract-based spatial statistics compared white matter structure between patie

105 litated through diagnostic plots and summary statistics computed over regions of the genome with vary

106 dom search model based on measured locomotor statistics could not reproduce the centered nature of th

107 ypothesis using all England Hospital Episode Statistics data (1998-2012), within which we identified

108 Vital statistics data were used to determine the cause of deat

109 Hospital Episode Statistics data were used to identify patients admitted

110 ion of Diseases-10 codes in Hospital Episode Statistics data, linked to the Office for National Stati

111 arnings were estimated using Bureau of Labor Statistics data.

112 strialised countries with high-quality vital statistics data.

113 tional Health Service (NHS) Hospital Episode Statistics database from 2006 to 2015.

114 es were identified from the Hospital Episode Statistics database.

115 y records obtained from the Finland national statistics database.

116 ident stroke (C statistic, 0.695 vs 0.670; C statistics difference, 0.025; 95% CI of difference, -0.0

117 incident CHD (C statistic, 0.735 vs 0.703; C statistics difference, 0.032; 95% CI of difference, 0.00

118 incident CHD (C statistic, 0.733 vs 0.690; C statistics difference, 0.043; 95% CI of difference, 0.00

119 the artificial atom visualises photon-state statistics, distinguishing coherent, one- and two-photon

120 ture Organization of the United Nations [FAO Statistics Division Database (FAOSTAT)], the Australian

121 w-frequency functional variants, using novel statistics, DVxy and SVxy.

122 association between repertoire-level summary statistics (e.g., diversity) and patient outcomes for se

123 pesticide concentrations reported as summary statistics [e.g., geometric means (GM)].

124 , diffusion tensor imaging and network-based statistics-each with specific longitudinal processing pr

125 ynamics are making measurements of transport statistics even more important.

126 ring the same time period were obtained from Statistics Finland.

127 ment was 1-19% and >/= 20%, respectively (88 statistics, five studies).

128 [95% confidence interval (CI): 1.5, 3.3; 15 statistics, five studies] in homes of farmers who applie

129 Results were analyzed by descriptive statistics followed by generalized estimating equation r

130 merization in three aspects: ensemble growth statistics following models for step-growth polymerizati

131 cal methods that either summarize gene-level statistics for a gene set or apply a multivariate statis

132 We calculated descriptive statistics for all variables.

133 Using the device, we obtain cell-cycle statistics for C. elegans vulval development, a paradigm

134 The C statistics for colorectal (C = 0.607), colon (C = 0.603)

135 sed both topological and distance-based tree statistics for comparison between simulated and observed

136 ncies, such that there is often insufficient statistics for downstream calculations.

137 Receiver operator characteristics and C statistics for each measure predicting postoperative mor

138 , were extracted from composite lesion-level statistics for each patient and tracked throughout treat

139 retrospective analysis of hospital admission statistics for encephalitis for individuals aged 0-19 ye

140 and offsets of alpha waves, and employ these statistics for exploration and quantification of neurofe

141 ls of European ancestry, we obtained summary statistics for four independent single nucleotide polymo

142 ith nonlaboratory-based risk factors only (C statistics for laboratory-based model 0.717 [95% confide

143 The C statistics for not worsening or obtaining at least a sma

144 Simple kappa/weighted kappa statistics for severity of H/Ma: all fields 0.61/0.69, f

145 We calculated C statistics for the new model and did a comparative asses

146 C statistics for the sex-specific risk scores in the CCF v

147 ides a more principled implementation of the statistics for unpaired datasets.

148 k factors led to a significant increase of C statistics from 0.74 to 0.83 (P=0.037), a net reclassifi

149 Meta-analysis of the summary statistics from 19 cohorts identified in CYP2R1 the low-

150 Here we analyzed summary statistics from 56 complex traits (average N = 101,401)

151 ith BMI and T2D by incorporating the summary statistics from existing GWASs of these two traits.

152 METHODS AND Summary statistics from several genome-wide association studies

153 a single lattice site can switch the photon statistics from super-thermal to sub-thermal, or vice ve

154 essential to the understanding of the result statistics from the analyses.

155 We used summary statistics from the GEFOS consortium for lumbar spine (n

156 It does so by extracting summary statistics from the input.

157 imer's disease were calculated using summary statistics from the largest Alzheimer's disease genome-w

158 genome-wide association study (GWAS) summary statistics from the Psychiatric Genetics Consortium (PGC

159 ic has progressed, where distance-based tree statistics have more power early in an epidemic.

160 talink (CPRD) and linked to Hospital Episode Statistics (HES) and Office for National Statistics (ONS

161 METHODS AND We used English Hospital Episode Statistics (HES) data collected between April 2009 and M

162 Enquiry (HIPE, 1979-85) and Hospital Episode Statistics (HES, 1990-2011).

163 equency drifts governed by random-walk-noise statistics.High-quality optical resonators have the pote

164 re and poor outcome cohorts were assessed (C statistics, Hosmer-Lemeshow test).

165 As revealed by multivariate statistics, i.e., principal component analysis (PCA) and

166 False discovery rate-based statistics identified a higher prostaglandin reductase 2

167 e hypothesis that infants extract crossmodal statistics implicitly while adults learn them when task

168 AnnoPred is trained using GWAS summary statistics in a Bayesian framework in which we explicitl

169 We present an analysis of color statistics in a large databank of natural images curated

170 rate a heightened sensitivity for crossmodal statistics in infants and a change in learning mode from

171 t with theory, we find evidence of power-law statistics in the tail of C. crescentus cell-size distri

172 rizes the joint distribution of the two test statistics in two-dimensional space.

173 Descriptive statistics, incidence rates, Kaplan-Meier survival curve

174 elated neural networks with realistic firing statistics indicate that this change in the correlation

175 nventories (annualized regional and national statistics) indicate the need for better understanding t

176 cording to current World Health Organization statistics, it still kills over 100,000 people a year, m

177 We used national mortality statistics (Jan 1, 2011, to Dec 31, 2013), hospital moni

178 equencing file and calculates four different statistics: k -mer frequency, 16S abundance, prokaryotic

179 were approved for CPRD and Hospital Episodes Statistics linkage, and were registered with their gener

180 utes to both the genetics literature and the statistics literature, and has a potential to be extende

181 -genome PRSs when using area under the curve statistics, logistic regression, and linear mixed model.

182 Still, SNP-level summary statistics made available here afford the best-available

183 ages best practices in applying multivariate statistics methods to perform comparative studies of ess

184 tics data, linked to the Office for National Statistics mortality data for England, to establish caus

185 We used Vital Statistics mortality data to examine whether a spike in

186 Network Based Statistics (NBS) also revealed strong and consistent evi

187 was evaluated by using survival analysis, C-statistics, net reclassification improvement, and integr

188 traits with publicly accessible GWAS summary statistics (Ntotal approximately 4.5 million), we identi

189 promoters, and 28% in introns, with similar statistics observed in L1 arrest larvae.

190 The analyses were performed using summary statistics obtained for single-nucleotide polymorphisms

191 , and to Z-statistics or P-values as summary statistics obtained from either a single GWAS or a meta-

192 C statistics of 0.65 for not worsening, 0.68 for at least

193 The MACE/death and the SAE model had C statistics of 0.72 and 0.70, respectively, in the deriva

194 ior to Milan at predicting recurrence with c-statistics of 0.82 and 0.87, compared with 0.63, respect

195 2 diabetes and CHD were derived from summary statistics of 2 separate genome-wide association studies

196 find remarkable similarities in the babbling statistics of 5-6-month-old human infants and juveniles

197 We used summary statistics of 81 well-powered GWASs of cognitive, medica

198 work is consistent with the stationary-state statistics of a broad class of resource-limited communit

199 Simple statistics of central tendencies and variability were ca

200 hical cluster analysis, performed on summary statistics of each individual across their recording dur

201 Here we instead explore the statistics of events that completely sterilise an Earth-

202 The tests can be constructed with summary statistics of existing dispersion and burden tests for s

203 rends observed experimentally, including the statistics of filament fluctuations, and mechanical resp

204 TPP-PDI, when the data are corrected for the statistics of having two electron acceptors.

205 Using BOLD fMRI, we show that the natural statistics of human speech, in which voices co-occur wit

206 ffect of mRNA properties on the dynamics and statistics of its spatial distribution.

207 icient for sliding rough contacts, given the statistics of junction clusters sizes.

208 Applying this approach to the GWAS summary statistics of putamen volume in the ENIGMA cohort, a tot

209 glasses - we show evidence that not only the statistics of slips but also their dynamics are remarkab

210 duced dynamical model can reproduce the full statistics of spatial molecular configurations-opening p

211 ring transient properties constrained by the statistics of the 5C data.

212 Summary statistics of the associations of the five SNPs with AD

213 varying the network topology the spike train statistics of the central node can be tuned to have a ce

214 We focus on the spiking statistics of the central node, which fires in response

215 Through statistics of the measured single-molecule spectra, we i

216 relationship between the relaxation and the statistics of the probability flux associated with devic

217 eural value coding dynamically adapts to the statistics of the recent reward environment, introducing

218 to the mammalian premotor cortex-alters the statistics of the syllable sequences, suggesting that HV

219 We focus on the search duration and the statistics of the trajectories traced on the board.

220 -A-R(-), but its yield is controlled by spin statistics of the uncorrelated A(-*)-R(*) radical pair,

221 el accommodates for this underestimation, if statistics of the volume variation are well characterize

222 ion to enable users to better understand the statistics on brain structures.

223 The temporal trends agree with statistics on CP importation in Sweden or local industri

224 A novel algorithm using outlier statistics on RNA-sequencing junction expression identif

225 Statistics on the reliability and duration for different

226 spital administrative data (Hospital Episode Statistics) on all NHS outpatient specialist visits and

227 ode Statistics (HES) and Office for National Statistics (ONS) mortality records.

228 rom 1997 to 2012, to the Office for National Statistics (ONS) national mortality register.

229 data browsing resources provide only summary statistics or aggregate allele frequencies.

230 claim of universality includes only the slip statistics or also the slip dynamics.

231 ait GWAS methods that exploit either summary statistics or individual-level data have been developed,

232 e applied to mixed types of traits, and to Z-statistics or P-values as summary statistics obtained fr

233 However, multi-dimensional statistics overcame this extreme intra-group variability

234 Using GWAS summary statistics (P-values) for SNPs along with reference gene

235 Descriptive statistics, paired and multiple group comparisons, and r

236 ure using a combination of population branch statistics (PBS) and number of segregating sites by leng

237 nducted using the National Center for Health Statistics' period linked birth/infant death data set fi

238 with quality assessment, peptide and protein statistics, protein quantification, and exploratory data

239 se Control and Prevention's Web-Based Injury Statistics Query and Reporting System database and compa

240 se Control and Prevention's Web-based Injury Statistics Query and Reporting System.

241 cohort area under the curve and concordance statistics ranged from 0.66 to 0.67 for ischemic heart d

242 de diversity metrics, linkage disequilibrium statistics, recombination rates, a battery of neutrality

243 We collected data from the US Cancer Statistics registry, which covers 97% of the population,

244 capturing both neural and synaptic activity statistics relevant to BBCI conditioning protocols.

245 lished genome-wide association study summary statistics replicated established risk loci and yielded

246 +/-12%), which are notable considering these statistics represent errors over 30 days following treat

247 Network-based statistics revealed a significant increase of structural

248 ublished models and our new model, using the statistics root-mean-squared-error (RMSE) and median res

249 According to the recent statistics, Salmonella is still an important public heal

250 We used geospatial scan statistics, SaTScan, version 9.4, to analyze nonmedical

251 nicity in this population (in which national statistics show 98% are white British) and maternal weig

252 sensitivities to shifts in seasonal rainfall statistics, showing that co-occurring species may diverg

253 titative representation of up to 4 arbitrary statistics simultaneously in a tree format by mapping st

254 s from 2008 to 2013, linked with state vital statistics, stratifying hospitals on the basis of comple

255 ization tool for brain scientists to compare statistics such as effect sizes from meta-analysis resul

256 The model provides supplementary statistics such as the correlation among event types and

257 Descriptive statistics summarised the sample and survey responses.

258 The National Vital Statistics System (NVSS), administered by the federal go

259 as a cause of death, from the National Vital Statistics System during 1999-2012.

260 ogy, and End Results Program, National Vital Statistics System, National Health and Nutrition Examina

261 tensor imaging (DTI) and tract-based spatial statistics (TBSS).

262 We propose two multivariate two-part statistics that accommodate missing values and combine d

263 We provide principled statistics that compute probabilities reminiscent of tra

264 iHMM is primarily intended for audiences in statistics, the idea is powerful and the iHMM's breadth

265 adical prostatectomy (RP), using descriptive statistics, the Kaplan-Meier method, and multivariable C

266 We used descriptive statistics to assess whether the prevalence of each risk

267 le-ancestry GWASs, we used published summary statistics to calculate polygenic risk scores for eight

268 eometric morphometrics and phenotypic matrix statistics to compare rates of craniofacial evolution an

269 ics, with linkage to the Office for National Statistics to create a comprehensive dataset for mortali

270 used to calculate hazard ratios (HRs) and C statistics to determine predictive and discriminatory va

271 We used polymer statistics to estimate a global KD value for p53 binding

272 rce R package 'twoddpcr', which uses Poisson statistics to estimate the number of molecules in such t

273 lysed using graph analysis and network-based statistics to explore baseline characteristics of patien

274 nation processes, and we unravel the mixture statistics to obtain a picture of the time evolution of

275 PSI values were discriminated by the spatial statistics to quantify variation of riparian condition i

276 ive hundred simulations to obtain sufficient statistics to reveal the subtle effects of changes in th

277 use hydrodynamic modelling and multivariate statistics to show that shallow coastal areas are extrem

278 s simultaneously in a tree format by mapping statistics to the color and size of tree nodes and edges

279 an optimization of the postsynaptic response statistics toward a given mean with minimal variance.

280 were obtained from the UK Small Area Health Statistics Unit and supplied by the Health and Social Ca

281 igher (0.79 in women and 0.81 in men) than C statistics using other tools in women (0.70 for Duke Tre

282 Statistics was performed with Prism 7 software and stude

283 for data processing and robust confirmatory statistics was used in order to differentiate between th

284 GM-based spatial statistics was used to compare neurite orientation dispe

285 The C-statistics were 0.662 for ADA fasting glucose clinical c

286 Descriptive statistics were calculated.

287 e decoupling approach (71% vs. 21%) when the statistics were correlated.

288 Comparative statistics were employed to determine significance, and

289 Data mining and multivariate statistics were employed to evaluate the generated lipid

290 stion, and receiver operating characteristic statistics were generated to compare questionnaire items

291 Summary statistics were obtained from the International FTD Geno

292 In Somerville, correlation and error statistics were typically acceptable, and all models pre

293 etric, and mixed effects logistic regression statistics were used throughout the study.

294 Descriptive statistics were used to define patient characteristics,

295 Univariate and bivariate statistics were used to describe the subtypes.

296 Descriptive statistics were used to evaluate agreement among surgeon

297 -Whitney U, chi(2), and analysis of variance statistics were used.

298 2 cannot perform meta-analysis of correlated statistics, which are found in recent research designs,

299 rivacy-preserving approaches to disclose TDT statistics with a guarantee that the risk of family 're-

300 performed using random-effect nonparametric statistics with group whole brain T-maps from individual

301 Data were extracted from Hospital Episode Statistics, with linkage to the Office for National Stat