ライフサイエンスコーパス: statistical

1 General intelligence is a statistical abstraction, not a cognitive trait, and we a

2 s, a strong process-outcome link exists) and statistical adjustment can be made for differences in pa

3 Statistical adjustments were made in intention-to-treat

4 To compare survival outcomes, we used a statistical algorithm to select a subset of patients fro

5 Statistical algorithms, geNorm and Normfinder were used

6 plot, Cq analysis, NormFinder and BestKeeper statistical algorithms.

7 rify the interdependency of the two factors, statistical analyses (two-way ANOVA) were performed.

8 Here, using statistical analyses and simulation results of groundwat

9 There are a number of statistical analyses developed in the social sciences th

10 Our statistical analyses included single variant analysis fo

11 normalization, hence the power of subsequent statistical analyses is likely to increase.

12 These results are based on statistical analyses of a spatially resolved data set on

13 ons of the sea-ice cover record, preliminary statistical analyses of one short-term and two long-term

14 The statistical analyses of the PA imaging results demonstra

15 Statistical analyses showed equivalence of psychodynamic

16 We used bioinformatics/statistical analyses to confirm association between impr

17 Statistical analyses used linear regression models to pr

18 Using the ELISA results, statistical analyses using nonparametric signed rank tes

19 Statistical analyses were performed by using GraphPad so

20 egrate single-cell RNA sequencing and robust statistical analyses with in vivo lineage tracing to def

21 In-depth statistical analyses, including mixed effects repeated m

22 milar between these two periods according to statistical analyses.

23 d implementing these alternative methods for statistical analysis and inference, all other strategies

24 pothesis significance testing that dominates statistical analysis and inference.

25 ally decreases the amount of data usable for statistical analysis and leads to increased uncertaintie

26 After data pre-treatment, statistical analysis and pathway enrichment, we have ide

27 The statistical analysis cannot establish causality.

28 -Gilford Progeria syndrome were included for statistical analysis from a total of 84 patients who hav

29 Data visualisation and statistical analysis identified significant chemical cha

30 Statistical analysis included a 2-sample t test to compa

31 Statistical analysis included descriptive statistics, ca

32 perresolution results, we apply multivariate statistical analysis methods and 3D reconstruction appro

33 Leveraging recent developments in the statistical analysis of high-dimensional data, we develo

34 We show how this framework leads to a new statistical analysis of neural activity recorded during

35 This miniperspective describes the statistical analysis of the calculated physicochemical p

36 Multivariate statistical analysis of the metabolomics data revealed t

37 A statistical analysis of the Protein Data Bank reveals th

38 thod used to determine metastatic burden and statistical analysis of the results, as well as provide

39 Statistical analysis of their concentration changes show

40 Multivariate statistical analysis of their observed DART-HRMS spectra

41 he hypothetical role of trade routes through statistical analysis on the geo-referenced major trade r

42 of guidance covering the required content of statistical analysis plans (SAPs) to support transparenc

43 Statistical analysis shows significant increases in 12 t

44 from the rats were analysed by multivariate statistical analysis to investigate metabolic perturbati

45 ated with an ASD diagnosis but also that the statistical analysis used here offers tremendous potenti

46 The statistical analysis was adjusted for hospital and for r

47 Statistical analysis was conducted from January 1 to Jun

48 Statistical analysis was performed by Kruskal-Wallis and

49 Statistical analysis was performed using Wilcoxon rank-s

50 Postmatching statistical analysis was performed with conditional logi

51 Statistical analysis was performed with Friedman test.

52 Statistical analysis was performed with the chi(2) test,

53 Statistical analysis was performed with the Statistical

54 Statistical analysis was then applied in the form of non

55 Statistical analysis was used to correlate interobserver

56 nalysis by LC-MS and multivariate/univariate statistical analysis were used to identify differences i

57 method and Cox regression were used for the statistical analysis.

58 3414 keratoplasty cases were included in the statistical analysis.

59 r excluding hypothyroidism patients from the statistical analysis.

60 tly, many new approaches, study designs, and statistical and analytical methods have emerged for stud

61 we develop a statistical pipeline to assess statistical and biological significance while managing t

62 lectronically searched for terms relating to statistical and clinical significance.

63 biases and uncertainties that impose several statistical and computational challenges to the reliable

64 ocus of these challenges has been to develop statistical and computational methods for epidemiologica

65 In collaboration with the ARLG's Statistical and Data Management Center (SDMC), the LC ha

66 Increasingly, the statistical and epidemiologic literature is focusing bey

67 sentations of phylogenetic, epidemiological, statistical and evolutionary analysis results that are d

68 Statistical and machine learning approaches predict drug

69 Statistical and machine learning approaches were applied

70 analysis of data at such scales has brought statistical and machine learning methods into the mainst

71 s in biology will be driven by mathematical, statistical, and computational methods being absorbed in

72 We present QNB, a statistical approach for differential RNA methylation an

73 We describe a robust statistical approach to identify loci within genes that

74 We developed a flexible Bayesian statistical approach to quantify allele-specific express

75 Newer statistical approaches are prone to failure of model con

76 In this article, we summarize several statistical approaches that can be used to test for GxE

77 Yet, statistical artifacts commonly plague the analysis of re

78 Existing computational algorithms lack statistical assessment of domain predictions and are com

79 promotion versus protection, thereby linking statistical association to biological mechanism.

80 , selected on the basis of their strength of statistical association, proximity to annotated gene mod

81 However, GWA relies exclusively on statistical association, so functional validation is nec

82 er one understands stereotypes as generic or statistical beliefs about groups, skepticism remains abo

83 There was also a statistical benefit for eyes complicated by PCR, and IC

84 demonstrate the benefits of high-resolution statistical bioinformatics in clinical microbiome studie

85 possible in the absence of complete data and statistical certainty: there is a place for well-informe

86 data patterns and with new computational and statistical challenges.

87 cal adiabatic potential curves explains this statistical character revealing a chaotic distribution f

88 uct cell type classification models, various statistical classification algorithms are compared, and

89 We developed a statistical classification framework that could diagnose

90 sis of nonaffective psychoses (International Statistical Classification of Diseases and Related Healt

91 cause, surgical (defined using International Statistical Classification of Diseases and Related Healt

92 to the Swedish version of the International Statistical Classification of Diseases version 8, 9, or

93 through incentivizing collaboration, sharing statistical code, and creating more decentralized data s

94 act of immutable time on the measurement and statistical comparison of patients' ICU LOS.

95 cant features objectively, since traditional statistical comparisons without multi-testing correction

96 ough the use of clonal assays, combined with statistical computation, to quantify the yield of granul

97 We demonstrate that statistical concepts developed for discovery proteomics

98 scientific claims with verifiable levels of statistical confidence.

99 Using statistical controls, we determined that repeats occurre

100 ing bird migration but have mainly relied on statistical correlative analysis of tracking data.

101 Our results therefore pave the way towards a statistical description of heterogeneous calcium oscilla

102 There was no statistical difference between the two groups in terms o

103 There was no statistical difference in the age-adjusted or multivaria

104 There was no statistical difference in the choroidal thickness betwee

105 g into language, infants must discern subtle statistical differences about people and voices in order

106 tenoids and ascorbic acid were analyzed, not statistical differences between both crops were found.

107 Although no statistical differences in overall survival rates among

108 tium isotope ratio is evidenced in the final statistical discrimination of the origin of hams.

109 As a result, the statistical dispersion of the nanodot molecular occupanc

110 Is there a universal statistical distribution describing how many items are t

111 when its acoustic features differed from the statistical distribution of context song features, but n

112 verters (ADCs) and electron multipliers, the statistical distribution of the mass peak intensity can

113 nge adaptation in response to changes in the statistical distribution of their input stimuli.

114 onsiderations, data analysis challenges, and statistical epidemiological approaches must be addressed

115 and discriminant analysis were used for the statistical evaluation of obtained experimental data.

116 Experimental and statistical evaluations suggest that using ML algorithms

117 e associations; however, there was no strong statistical evidence for heterogeneity between them (all

118 The statistical features of the giant component consisting o

119 the selection of related gene pairs based on statistical filtering of GWAS results, and text-mining f

120 that combines dynamical error correction and statistical filtering techniques.

121 ern the true causal variant(s), a variety of statistical fine-mapping methods have been proposed to p

122 unique to each individual twin gave the best statistical fit for the number of teeth in both age cate

123 om the same block of data, thus reducing the statistical fluctuations in the sample and greatly enhan

124 Using a convex statistical formulation, we have found that platelet usa

125 We present a statistical framework and an analysis tool, RiboDiff, to

126 practical, and provides a broadly effective statistical framework for persistence diagram TDA analys

127 Using a statistical framework to analyze single-cell transcripto

128 We answer this question by developing a statistical function which describes the probability dis

129 hat often requires supporting data from both statistical genetics and clinical genomics.

130 Natural Diversity Resource (CeNDR) to enable statistical genetics and genomics studies of C. elegans

131 Moderate-to-substantial statistical heterogeneity was noted.

132 luded, rather than the results of a test for statistical heterogeneity.

133 cations-the replications permit conventional statistical hypothesis testing.

134 cal manipulations on white matter tracts for statistical inference and to study the white matter geom

135 d high-dimensional nature of microbial data, statistical inference cannot offer reliable results.

136 Using the latest advances in Bayesian statistical inference for intractable models, we fitted

137 We propose a statistical inference method for tumor phylogenies from

138 rth's logistic regression provides a concise statistical inference process and reduces spurious assoc

139 Permutation tests were used to test the statistical influence of concurrent baseline diagnoses o

140 e visual system's ability to extract summary statistical information from groups of similar objects-o

141 On simulated data with main effects and statistical interactions, we compare accuracies on holdo

142 right standing position, however, due to the statistical intractability of the more realistic models,

143 We suggest that statistical learning not only provides a framework for s

144 We show that after statistical learning of specific face sequences, the low

145 Using statistical machine-learning approaches, we showed that

146 se data prompt reconsideration of Diagnostic Statistical Manual 5 criteria for "Catatonic Disorder Du

147 DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, 4th Edition) PTS

148 s were 18 years or older, had Diagnostic and Statistical Manual of Mental Disorders-5 opioid use diso

149 We used statistical maps from the studies included where availab

150 We pose and solve a statistical mechanical model of gas adsorption in a poro

151 atomistic simulation techniques and quantum/statistical mechanics methods to understand how thermal

152 provides a route toward the development of a statistical mechanics model that correlates connectivity

153 f microscale thermophoresis measurements and statistical mechanics models exposed the inherent limita

154 traditional kinetic-theory-based, macroscale statistical mechanics models, are used to rigorously der

155 rom lattice-field theory and non-equilibrium statistical mechanics to introduce a generic theoretical

156 Using statistical mechanics, a random-binder model without fit

157 off-target scoring tools, indicate that the statistical mechanics-based approach provides more relia

158 pe based on simple decision rules drawn from statistical mechanics.

159 phase transition in an Ising-like model from statistical mechanics.

160 We present a statistical method for determining whether phenotypicall

161 q-value is a widely used statistical method for estimating false discovery rate (

162 Here we adopt an alternative statistical method that substitutes space for time to es

163 Here we present a novel adaptive statistical method to simultaneously address both proble

164 Here we propose a novel statistical method, finding batch effect (findBATCH), to

165 We have developed a novel statistical method, Phantom, to investigate gene set het

166 d implementation of innovative and practical statistical methodologies and by educating research coll

167 Using appropriate statistical methodology, we report null associations.

168 le approach facilitates the dissemination of statistical methods and codes to independent researchers

169 There is a need to develop efficient statistical methods and computational algorithms to cons

170 he long-term benefits were coherent by all 3 statistical methods and persisted among patient subgroup

171 the misapplication and misinterpretation of statistical methods and tests are long-standing and wide

172 power to identify risk variants compared to statistical methods based on smaller number of GWAS data

173 bias has not previously been highlighted and statistical methods designed to minimize such biases hav

174 Existing statistical methods extract insufficient information fro

175 Statistical methods included discrete-time survival anal

176 -boosted model and compared with traditional statistical methods using 2 independently derived logist

177 easures of hand function using 2 independent statistical methods.

178 erties that distinguish it from better-known statistical methods.

179 hould extend beyond 7 d and use time-varying statistical methods.

180 top eigenvectors are compared using several statistical metrics to quantify similarity/overlap of hi

181 e the initial charge separation yields a 3:1 statistical mixture of D(+*)-(3)(A(-*)-R(*)) and D(+*)-(

182 The mechanistic statistical model based on ecological diffusion led to i

183 th a variety of different structures using a statistical model based on residue-residue co-evolution

184 cancer tissues and cell lines using a global statistical model connecting protein pairs, genes and an

185 hically using interpolation and by fitting a statistical model describing the position and width of t

186 A strong statistical model has been established between RS format

187 But the module-based statistical model has not been adequately addressed for

188 A statistical model including additive genetic factors and

189 Finally, we develop a statistical model that incorporates the uncertainty in i

190 Applying a track-pattern-based statistical model to 22 Coupled Model Intercomparison Pr

191 We develop a statistical model to predict June-July-August (JJA) dail

192 gm of uniting simulation and experiment in a statistical model to study the structure of protein exci

193 nseling, and genetic ancestry predicted by a statistical model, were compared for concordance.

194 t motion, the stretched exponential, and the statistical model.

195 ng the directionality of these links through statistical modeling and verifying our findings with com

196 Our results show that statistical modeling extends the scope and potential of

197 This study demonstrates that combining statistical modeling with public RNA-seq data can be pow

198 However, forecasts from statistical models (e.g. species distribution models) ra

199 treating hypothetical data distributions and statistical models as if they reflect known physical law

200 The statistical models developed to objectively analyze the

201 tabolite composition of carrots and to build statistical models for prediction purposes.

202 tative approaches that apply mechanistic and statistical models in a systems-wide approach are illumi

203 Statistical models indicated that increasing atmospheric

204 the stochastic dynamics of state-of-the-art statistical models of neuronal spiking activity.

205 We developed statistical models relating seasonal temperature and pre

206 Automated brain mapping algorithms and statistical models were used to evaluate the relationshi

207 red by the piecemeal development of relevant statistical models.

208 wo different environments with two different statistical models.

209 aring analytical variances to variances from statistical Monte Carlo simulations.

210 Statistical network analysis revealed that competitive a

211 t has been made to develop the theory behind statistical network models.

212 ous nucleotide diversity (piS), avoiding the statistical non-independence between the two quantities.

213 We develop a statistical nondeterministic model, capable of modeling

214 ch as wind or rain, are characterized by the statistical occurrence of their constituents.

215 in the IL-enriched extracts and multivariate statistical optimization was performed to define the con

216 Statistical analysis was performed with the Statistical Package for the Social Sciences (SPSS), vers

217 63) to compare performances of conventional statistical parametric (based on Nakagami distribution)

218 Constructing ultrasound statistical parametric images by using a sliding window

219 9, which was higher than 0.79 obtained using statistical parametric imaging.

220 9) using voxel- and region-level analyses in statistical parametric mapping.

221 C (HCC22) to determine the LABMELD for which statistical parity was achieved for our composite outcom

222 -specificity of cognitive processes with the statistical pattern of variance in behavioural measures

223 This means that inferences of statistical patterns of language in acoustics are biased

224 Using principles from statistical physics and information theory, we derive ep

225 Here, we develop a statistical pipeline to assess statistical and biologica

226 istance- and orientation-dependent, all-atom statistical potential derived from side-chain packing, n

227 rge-scale inference sets a high bar for both statistical power and biological interpretability.

228 We discuss approaches for improving statistical power and describe one solution: an inexpens

229 = 0.85, p = 2.2 x 10(-16)), indicating that statistical power prevents identification of AH in other

230 ingly specific subphenotypes while retaining statistical power to detect genetic associations.

231 treat-to-target trial designs had poor (<5%) statistical power to detect the HTEs, despite large samp

232 However, prior studies had limited statistical power to examine sex-specific effects, and f

233 12 phenotypes shows that graph-GPA improves statistical power to identify risk variants compared to

234 global and local tests, exhibiting improved statistical power while retaining similar, and reliable

235 Due in part to limited statistical power, most studies identify only small numb

236 pic effects of genetic variants can increase statistical power, provide important information to achi

237 While guidance on statistical principles for clinical trials exists, there

238 gly on exploratory analysis; the more formal statistical properties obtained under idealized assumpti

239 one in computational neuroscience to analyze statistical properties of neuronal dynamics and in neuro

240 new multivariable linear model for GFR using statistical regression analysis.

241 hen testing only the null hypothesis; and 3) statistical reification, treating hypothetical data dist

242 Here, satellite data are used to derive a statistical relationship between interannual variations

243 g for the bioaccessible Pb fraction improves statistical relationships with children's BLLs.

244 es due to difficulties in handling issues of statistical reliability and robustness, often leading to

245 nd evidence for serial dependence in summary statistical representations.

246 fluctuation imaging analysis, which employs statistical resampling to measure the Eph receptor aggre

247 Consequently, we uncover statistical results in origami, finding the entropy of c

248 We tested a single statistical shape to describe time trends in Europe, whi

249 erimental measures of recovery over indirect statistical signatures, such as spatial variance or auto

250 No loci met the Bonferroni-adjusted level of statistical significance (0.0024).

251 ween disease and HC, and across diseases for statistical significance (fold change>/=1.5 and false di

252 Both the statistical significance and effect size of the HLA sign

253 sed on arterial blood pressure did not reach statistical significance for predicting outcome measured

254 The postinduction CS maintained independent statistical significance in Cox models when adjusted for

255 All secondary end points reached statistical significance in the ferric citrate group, in

256 diversity of shareholders contributes to the statistical significance of local patterns, while homoph

257 nts required rescue medication, both showing statistical significance of the study drug compared to p

258 tism spectrum disorder (ASD), we find strong statistical significance that the affected are more simi

259 p and employed a conventional P < 5 x 10(-8) statistical significance threshold.

260 Although statistical significance was not achieved, blue light fi

261 Statistical significance was replicated for BIRC2 (p = 0

262 trategy can increase sensitivity and improve statistical significance without increasing cost.

263 although only results for BRAFV600E achieved statistical significance.

264 favour of the active group but did not reach statistical significance.

265 (OR, 1.17 [95% CI, 0.51-2.71]) did not reach statistical significance.

266 3, respectively), with nodule number meeting statistical significance.

267 ticipants a smaller response failed to reach statistical significance.

268 edure for clustered data were used to assess statistical significance.

269 o control, although the latter did not reach statistical significance.

270 We then used statistical simulations, informed by the administrative

271 IBM SPSS statistical software (version 22) was used to perform co

272 extracted and analyzed with the use of Stata statistical software.

273 cement-learning mechanism that infers latent statistical structure in dynamic task environments to pr

274 zed based on identical assumptions about the statistical structure of the sensory environment.

275 A statistical study of the cracking behavior as a function

276 nes are now included in the database; (iv) a statistical summary of global gene structure information

277 Furthermore, we observe a statistical symmetry breaking upon varying the cavity lo

278 The second strategy exploits statistical symmetry for a further reduction of [Formula

279 he non-equilibrium (detailed balance broken) statistical system and uncover how switching policy affe

280 licy-makers should therefore consider use of statistical techniques such as inverse odds of sampling

281 genetic epidemiology and argue for retaining statistical testing as an important part of the tool kit

282 The noninferiority margin was 5 letters, and statistical testing for noninferiority was based on a 1-

283 Because of statistical testing hierarchical rules, the 50-mug patch

284 veloped as a two-part process involving: (1) statistical testing in order to determine the number of

285 Statistical testing included analysis of variance, t tes

286 models with features identified by different statistical tests further demonstrated the advantage of

287 Statistical tests of direct cause and effect relationshi

288 All statistical tests were 2-sided.

289 new LASSO method has the ability to perform statistical tests.

290 accuracy assessment algorithm comprised four statistical tools to assess the performance of the study

291 c log-ratio transform to allow off-the-shelf statistical tools to be safely applied to microbiota sur

292 ng to a fixed circuit topology, and utilizes statistical tools to identify generic properties of the

293 IR spectra by novel pattern-recognition and statistical tools, to determine E. coli susceptibility w

294 cy assessment algorithm, using four distinct statistical tools, to evaluate the clinical accuracy of

295 le composition was evaluated by multivariate statistical tools.

296 Thus, in LRMS, both computational effort and statistical uncertainties associated with the correction

297 In addition we explore the statistical variability of the HSI as a function of the

298 n of clinical failures with ALMANACH, within statistical variability, by a margin of 3%.

299 tocols and instruments), and algorithmic and statistical variation created by selection of data proce

300 were analyzed by LC-HRMS and a comprehensive statistical workflow was designed.