ライフサイエンスコーパス: statistic

1 after discharge was assessed with the kappa statistic.

2 each condition was assessed using the kappa statistic.

3 railty was assessed using the weighted kappa statistic.

4 modalities and compared by using the Bennett statistic.

5 ith heterogeneity assessed using Cochran's Q statistic.

6 distribution of the Fisher combination test statistic.

7 morbidity Index (CCI) by using the Harrell c statistic.

8 d by using the linearly weighted Cohen kappa statistic.

9 armacological manipulations and spike timing statistics.

10 pproximate the significance of Bayesian-type statistics.

11 sistent with improved estimation of baseline statistics.

12 del naturally accounts for these 'universal' statistics.

13 tive to abundance changes than other ranking statistics.

14 e findings can be explained by environmental statistics.

15 nalysis of multiple traits with GWAS summary statistics.

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

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

18 AE reports was analyzed with weighted kappa statistics.

19 heir versatility when facing different input statistics.

20 not apparent through typical differentiation statistics.

21 variables is one of the fundamental tasks in statistics.

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

23 preservation of non-classical photon-number statistics.

24 regression derived from summary association statistics.

25 that it also impacts mixed model association statistics.

26 possible donors, leading to ambiguous donor statistics.

27 FCCA substantially outperforms the ten other statistics.

28 y than actually exists according to national statistics.

29 ical quantum states that exhibit non-Abelian statistics.

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

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

32 of methods that analyse summary association statistics.

33 mewhat correlated, or highly correlated test statistics.

34 ssessed discrimination improvement through c-statistics.

35 d after six evaluations) using nonparametric statistics.

36 ctural damage were assessed with voxel-based statistics.

37 covariance between traits using GWAS summary statistics.

38 tion of amputation with ACR (difference in c-statistic 0.058, 95% CI 0.045-0.070).

39 Both the ADHERE (C statistic 0.66 and 0.67, 0.64, and 0.64) and GWTG (C sta

40 clinical and echocardiographic parameters (C statistic 0.71 versus 0.69; P=0.005).

41 c 0.66 and 0.67, 0.64, and 0.64) and GWTG (C statistic 0.74 and 0.73, 0.71, and 0.70) HF risk scores

42 high-risk (3.4 months, >16 points) groups (C-statistic 0.75, P < 0.001).

43 safe discharge in the development cohort (C statistic 0.84, 95% CI 0.82-0.86) and in the validation

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

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

46 andard clinical assessment, as measured by C statistic (0.96, 95% CI 0.92-0.98 for PLASMIC vs 0.83, 0

47 ung cancer screening eligibility criteria (c-statistic = 0.66 [0.64 to 0.69]).

48 score (C statistic = 0.78, bias-corrected C statistic = 0.77) was superior to other published risk m

49 tive performance of the point-based score (C statistic = 0.78, bias-corrected C statistic = 0.77) was

50 = 0.84 [0.82 to 0.86]; optimism-corrected c-statistic = 0.83; pFEV1 = 3.4 x 10(-13)).

51 y on the basis of questionnaire variables (c-statistic = 0.84 [0.82 to 0.86]; optimism-corrected c-st

52 r concordance being substantial to high (AC1 statistic, 0.62-0.82) for 5 of 6 signs assessed.

53 ly improved prediction of incident stroke (C statistic, 0.695 vs 0.670; C statistics difference, 0.02

54 d malnutrition showed good discrimination (C-statistic, 0.73) and calibration.

55 d a greater association with incident CHD (C statistic, 0.733 vs 0.690; C statistics difference, 0.04

56 xpressed as the COmorbidity Point Score 2 (C-statistic, 0.737; 95% CI, 0.728-0.747; p < 0.001) or the

57 0.747; p < 0.001) or the Elixhauser index (C-statistic, 0.748; 95% CI, 0.739-0.757) instead of the Ch

58 were highly predictive of HCC recurrence (C statistic, 0.77).

59 s were confirmed in the validation cohort (c-statistic, 0.828).

60 universal calculator for 30-day mortality (c-statistic: 0.79 vs 0.68; Brier score: 0.020 vs 0.021), 9

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

62 cohort of 202 kidney recipients with ABMR (C-statistic=0.79).

63 ad excellent discrimination (concordance (c)-statistic [95% CI] = 0.85 [0.82 to 0.87]).

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

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

66 hybridization found by simulations and the D-statistic among genera and inside the main clades of Dip

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

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

69 dation set, the original HCT-CI had better C statistic and AUC estimates compared with the AML comorb

70 of confounding control, compared with the C statistic and goodness-of-fit tests.

71 Heterogeneity was assessed by the Cochran Q statistic and quantified by the I(2) statistic.Twelve st

72 c image features to metagenes by using the t statistic and the Spearman correlation metric with multi

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

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

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

76 Statistics and detailed information are generated and di

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

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

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

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

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

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

83 Descriptive statistics and mixed models analyses assessed difference

84 Descriptive statistics and multivariate logistic regressions were co

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

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

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

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

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

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

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

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

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

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

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

96 ents with CKD; however, the changes in the C statistic are small.

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

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

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

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

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

102 tection is proposed by using a Bayesian-type statistic based on the shortest Hamiltonian path, and th

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

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

105 regression models that weighted each summary statistic by its inverse variance.

106 that estimates the distribution of the test statistic by using the saddlepoint approximation.

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

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

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

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

111 We found that a network statistic called the sample degree correlation (SDC) ove

112 0 cities who responded to the mandatory 2001 Statistics Canada long-form census.

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

114 Provincial live births were obtained from Statistics Canada.

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

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

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

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

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

120 arnings were estimated using Bureau of Labor Statistics data.

121 strialised countries with high-quality vital statistics data.

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

123 es were identified from the Hospital Episode Statistics database.

124 y records obtained from the Finland national statistics database.

125 ith no measurable exposure (Wald chi(2) test statistic [df] = 6.58 [1], P = 0.01; 95% confidence inte

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

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

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

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

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

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

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

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

134 [95% confidence interval (CI): 1.5, 3.3; 15 statistics, five studies] in homes of farmers who applie

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

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

137 The weighted Kappa (kappa) statistic for agreement between automated noninvasive mo

138 provement Projects data and calculated the C statistic for both the RAI-A (0.823) and RAI-C (0.824),

139 The C statistic for discriminating between participants with v

140 The C-statistic for incident chronic kidney disease was 0.636

141 The C-statistic for this model increased from 0.68 to 0.73 whe

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

143 We calculated descriptive statistics for all variables.

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

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

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

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

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

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

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

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

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

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

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

155 dent of the REVEAL equation, improving the C statistic from area under the curve 0.83 (for REVEAL ris

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

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

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

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

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

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

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

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

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

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

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

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

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

169 5 tests were added to the base model, the c-statistic improved from 0.74 to 0.79 (P=0.001), signific

170 The model's C-statistic improved to 0.721 (95% CI, 0.711-0.730) when t

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

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

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

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

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

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

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

178 subcomponents so the use of a single summary statistic is insufficient to characterize the nature of

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

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

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

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

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

184 We introduce a family-based association statistic (LT-Fam) that is robust to this problem.

185 lity threshold-based mixed model association statistic (LTMLM) to address case-control ascertainment

186 e in MLPT children compared with controls (t statistic mean difference, -3.6 (95% CI, -5.8 to -1.4),

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

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

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

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

191 We developed a robust statistic (NetSig) that integrates protein interaction n

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

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

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

195 ion of CAC score led to an increase in the C statistic of 0.02 (95% CI, 0-0.09; P < .001) for predict

196 ecords model to our study sample yielded a C statistic of 0.589 for the validation set.

197 tate dehydrogenase level, yielded a better C statistic of 0.66 and AUC of 0.69 for 1-year mortality.

198 ty among the cohort was 9.7% for the SHFM (C statistic of 0.66) and 17.5% for the MAGGIC risk calcula

199 and 17.5% for the MAGGIC risk calculator (C statistic of 0.69).

200 The model had good discrimination, with a C-statistic of 0.76 and 0.75 in the derivation and validat

201 (hazard ratio=1.90 [1.21-2.99]; P=0.005), C statistic of 0.77 (0.65-0.89).

202 urrence risk was produced with a concordance statistic of 0.83.

203 he scores to produce a combo-MORAL, with a c-statistic of 0.91 for predicting recurrence.

204 inatory ability with an optimism-corrected C statistic of 70.1%.

205 ts of the Khairy et al risk model, and the C statistic of the final noninvasive risk model was determ

206 C-statistic of the model was 0.71.

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

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

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

210 2 diabetes and CHD were derived from summary statistics of 2 separate genome-wide association studies

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

233 Statistics on the reliability and duration for different

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

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

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

237 evalence of DPO was compared with the chi(2) statistic or Fisher exact test, and multivariate analysi

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

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

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

241 RV extension combines the single-variant GDT statistic over a genomic region of interest.

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

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

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

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

246 esting correction tremendously decreases the statistic power.

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

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

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

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

251 +/-12%), which are notable considering these statistics represent errors over 30 days following treat

252 Network-based statistics revealed a significant increase of structural

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

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

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

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

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

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

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

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

261 stics for a gene set or apply a multivariate statistic that accounts for intergene correlations.

262 For each strategy we provide a statistic that can be applied to extended families.

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

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 the explained risk statistic to calculate the relative contribution of each

267 ontinuous variables We used the Higgins I(2) statistic to evaluate heterogeneity.

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

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

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

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

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

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

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

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 chran Q statistic and quantified by the I(2) statistic.Twelve studies (n = 370), 8 in adults and 4 in

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

282 levance, which is calculated as an average F-statistic value across different time steps, with redund

283 e compute relevance of a gene by averaging F-statistic values calculated across individual time steps

284 I, 0.79-0.88); the 10-fold cross-validated C statistic was 0.83.

285 The model C statistic was 0.84 (95% CI, 0.79-0.88); the 10-fold cros

286 A network-based statistic was used to assess structural connectivity dif

287 The C statistic was used to quantify discrimination, and model

288 Statistics was performed with Prism 7 software and stude

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

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

291 Comparative statistics were employed to determine significance, and

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

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

294 Summary statistics were obtained from the International FTD Geno

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

296 Descriptive statistics were used to define patient characteristics,

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

298 pected copy number is more powerful than the statistic with the probe intensity measurements regardle

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

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