ライフサイエンスコーパス: statistical analysis

1 index, in addition to a joint histogram for statistical analysis.

2 ression and Poisson regression were used for statistical analysis.

3 e analyses that require peak integration for statistical analysis.

4 nd 53 of them were selected for multivariate statistical analysis.

5 l curves and the Wilcoxon test were used for statistical analysis.

6 tests and Spearman correlation were used for statistical analysis.

7 the middle of the day, which is supported by statistical analysis.

8 lthough the low number of events limited the statistical analysis.

9 zed by GC-MS, then subjected to multivariate statistical analysis.

10 ine lipidome as demonstrated by multivariate statistical analysis.

11 a repairs in male patients were included for statistical analysis.

12 e figure structure with the study design and statistical analysis.

13 ctrum of the yolk lipid extract with the QDA statistical analysis.

14 erent disease measures across centers in the statistical analysis.

15 nents in formats suitable for ecological and statistical analysis.

16 rs of incident depression using spatial scan statistical analysis.

17 outcomes, to assessing the risk of bias and statistical analysis.

18 e masked until the database was released for statistical analysis.

19 ollections, resulting in minor errors in the statistical analysis.

20 ation, and logistic regression were used for statistical analysis.

21 rmutation being the method of choice for the statistical analysis.

22 ere masked to patient allocation until after statistical analysis.

23 xact, and Mann-Whitney U tests were used for statistical analysis.

24 Student t and chi(2) tests were used for statistical analysis.

25 Regression modelling was used for statistical analysis.

26 gs and after 1 and 5 years were subjected to statistical analysis.

27 nces in the AEP, corroborating findings from statistical analysis.

28 Spearman rank correlation test was used for statistical analysis.

29 A random-effects model was used for statistical analysis.

30 eps to clean and standardize the data before statistical analysis.

31 ate, and multivariate analyses were used for statistical analysis.

32 alculated a stimulation map using voxel-wise statistical analysis.

33 r excluding hypothyroidism patients from the statistical analysis.

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

35 3414 keratoplasty cases were included in the statistical analysis.

36 Regression modelling was used for a statistical analysis.

37 ble working correlation matrix were used for statistical analysis.

38 and quantification, data normalisation, and statistical analysis.

39 scopic analysis of blood serum with advanced statistical analysis.

40 both compound identification and downstream statistical analysis.

41 ube-ligature suture dissolves) were used for statistical analysis.

42 of the minimum angle of resolution units for statistical analysis.

43 ed-design analyses of variance were used for statistical analysis.

44 obstruction severity were evaluated by using statistical analysis.

45 ow-level fetal variants were identified by a statistical analysis adjusted for NGS read count and fet

46 In addition to fundamental statistical analysis, advanced statistics such as the ex

47 d bioinformatic pipeline including stringent statistical analysis and 3D visualization.

48 rescence cell images allows high-dimensional statistical analysis and accurate classification with de

49 Statistical analysis and comparison with related viruses

50 pothesis significance testing that dominates statistical analysis and inference.

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

52 Descriptive statistical analysis and multiple logistic regression we

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

54 s their interpretations that largely rest on statistical analysis and phenotypic observations.

55 Drawing on statistical analysis and regression modeling of census m

56 In this work, we combine statistical analysis and stochastic mathematical modelin

57 gpubr package in R is automatically used for statistical analysis and the production of publication q

58 takes ~2 h to complete, from installation to statistical analysis and visualization, for a dataset of

59 revisions relate to data analysis (including statistical analysis) and reporting but do not tell inve

60 s well as improvements in search algorithms, statistical analysis, and computational cost to achieve

61 mental approaches, machine-learning-assisted statistical analysis, and experiment-informed mathematic

62 A combination of computational modeling, statistical analysis, and kinetic model fitting was used

63 procedure selection, duration of follow-up, statistical analysis, and publication requirements regar

64 he two radiologists was evaluated with kappa statistical analysis, and the difference between EA and

65 ificant differences in HX-MS measurements, a statistical analysis approach is needed.

66 more, we validated the ability of the hybrid statistical analysis approach, presented in a companion

67 tion of LIBS technique with machine learning statistical analysis approaches constitute a very powerf

68 ce as significant) associated with different statistical analysis approaches.

69 dy, to evaluate the reliability of different statistical analysis approaches.

70 riments, isotopic labeling measurements, and statistical analysis, as well as best practices develope

71 Engineering (FE) instead of the traditional statistical analysis based on Classification trees and l

72 According to the statistical analysis based on texture feature extraction

73 Here, we demonstrate a hybrid statistical analysis, based on volcano plots, that combi

74 The statistical analysis cannot establish causality.

75 were evaluated, together with two methods of statistical analysis, chi-squared goodness of fit and on

76 Statistical analysis compared the neutropenic (n = 159)

77 comprising peak filtering, MS searching and statistical analysis components, highly customized for i

78 The statistical analysis confirms that enzymes significantly

79 Applying statistical analysis, correlations between the chromatog

80 The statistical analysis (descriptive, sequence pattern anal

81 Statistical analysis disclosed a stochastic deterministi

82 Statistical analysis disclosed an overall observed agree

83 Nevertheless, the results of the statistical analysis do not allow us to recommend forgoi

84 Statistical analysis employed a 2 (Treatment Arm) X 3 (T

85 The Multivariate statistical analysis employed produced principal factors

86 The statistical analysis estimates the relative risk of the

87 Multivariate statistical analysis extracted twenty-one volatile marke

88 Statistical analysis failed to demonstrate differences b

89 Multivariate statistical analysis followed by examination of signific

90 r industrial) was combined with multivariate statistical analysis, following both an untargeted and a

91 other bioinformatics tools or for downstream statistical analysis for biological discoveries.

92 The statistical analysis for finding the correlated matrix o

93 Statistical analysis for positive predictive values was

94 nomes, it performs high-level or genome-wide statistical analysis for single feature and coupled feat

95 Our statistical analysis found that an additional 100 upwind

96 visualization tightly with state-of-the-art statistical analysis framework.

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

98 he results obtained have been submitted to a statistical analysis from which it was extracted that th

99 ity control (QC) of analytical data prior to statistical analysis has become increasingly important,

100 Statistical analysis identified all significant disease

101 Data visualisation and statistical analysis identified significant chemical cha

102 ing for future applications of the dynamical statistical analysis in exercise physiology and cardiolo

103 d the results were subsequently subjected to statistical analysis in order to compare their performan

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

105 Statistical analysis included Cox proportional hazard mo

106 Statistical analysis included descriptive statistics, ca

107 Statistical analysis included Kaplan-Meier survival curv

108 Statistical analysis included Mann-Whitney U and Kruskal

109 Statistical analysis included non-parametric tests for i

110 Statistical analysis included paired-sample t test, Cox

111 Statistical analysis included receiver operating charact

112 Statistical analysis included regarding correlation betw

113 Statistical analysis included separate mixed-effects mod

114 Statistical analysis included the paired t test and odds

115 Statistical analysis included Wald and modified chi(2) t

116 Multivariate statistical analysis indicated that Psidium guajava L. (

117 Statistical analysis indicated the lack of significant d

118 Statistical analysis indicates that this large drop was

119 When patient selection and statistical analysis involve multiple potentially hetero

120 tative nature of the data are presented, and statistical analysis is discussed.

121 A particular challenge impeding statistical analysis is the difficulty of distinguishing

122 By performing a statistical analysis, it was found that the TEAC value s

123 Remarkably, our statistical analysis led to the identification of a well

124 Statistical analysis localizes the TRIM5alpha binding in

125 eover, RAMES technology combined with PLS-DA statistical analysis may allow taxonomic identification

126 On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage

127 Off-sample ion images confound and hinder statistical analysis, metabolite identification and down

128 Co-inertia analysis (CIA) is a multivariate statistical analysis method that can assess relationship

129 While there are many causes related to statistical analysis, methodology or insufficient report

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

131 Experimental data were analyzed using statistical analysis methods, including the t-test and p

132 sets, staged screening designs, and advanced statistical analysis methods.

133 ied, we evaluated prespecified PRO concepts, statistical analysis, missing data and sensitivity analy

134 analysis, NMR was coupled with multivariate statistical analysis (MVSA), namely Principal Component

135 Twelve implants were considered for the statistical analysis (n = 12).

136 Our statistical analysis of 11 mobility issues in the survey

137 classification scheme derived from in-depth statistical analysis of a large multinational patient co

138 odological contribution is complemented by a statistical analysis of a spiked model similar to that e

139 Statistical analysis of alignments of large numbers of p

140 his breaking point was confirmed by a global statistical analysis of chronic study animals at PND90 a

141 From the statistical analysis of clones induced at multiple embry

142 mind us more generally that conclusions from statistical analysis of data are conditional on a hypoth

143 We developed a statistical analysis of data combined from many pixels o

144 A systematic and statistical analysis of data from 11 proteins (6391 amin

145 ading-in, preprocessing, quality control and statistical analysis of DNA methylation data.We demonstr

146 Statistical analysis of dual-color MINFLUX images demons

147 Statistical analysis of evolutionary-related protein seq

148 rends analysis and modelling study, we did a statistical analysis of existing trends in cervical canc

149 In the statistical analysis of genome-wide association data, it

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

151 Moreover, statistical analysis of historic eruption occurrence sug

152 ular approach to quantify this impact is the statistical analysis of historical climate and crop data

153 Here, we show that statistical analysis of historical data did not provide

154 Our framework enabled statistical analysis of intercalary cell behaviors in wi

155 The statistical analysis of intraperitoneal OVASC-1 tumor bu

156 Multivariate statistical analysis of LC-MS data was used to identify

157 sion model that is specifically designed for statistical analysis of longitudinal data, which solves

158 effect models are the standard workhorse for statistical analysis of longitudinal data.

159 ion of the pile-up approach that can aid the statistical analysis of looping interactions.

160 Combined statistical analysis of metal isotopes and sedimentary s

161 the methylation state, or carry-out a joint statistical analysis of methylation patterns at four CpG

162 We present a statistical analysis of nearshore waves observed during

163 ely used PAC methods in one package, (3) the statistical analysis of PAC measures, and (4) extended P

164 Statistical analysis of particle trajectories has helped

165 Our statistical analysis of patient samples unequivocally su

166 construction is supported by evidence from a statistical analysis of pigment granule volumes of all p

167 This Review aims to characterise the statistical analysis of PRO data from pivotal lung cance

168 ess this gap, we have carried out a Bayesian statistical analysis of QVOA reliability on 75 split sam

169 R language has been used for the statistical analysis of radon time series (RTS) data.

170 Statistical analysis of resulting hyperpolarized (13)C d

171 Statistical analysis of single cell RNA-sequencing (scRN

172 n order to develop a systematic tool for the statistical analysis of such hypergraph, we propose a ge

173 Topological and statistical analysis of the ALS-PIN and retrovirus-PIN i

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

175 stationary density profiles through a robust statistical analysis of the condensate component, as a f

176 Statistical analysis of the Ig repertoire provided measu

177 Multivariate statistical analysis of the metabolomics data revealed t

178 In addition, we developed a pipeline for the statistical analysis of the MS dataset to automatically

179 Statistical analysis of the network performance included

180 Statistical analysis of the nonlinear behavior encoded i

181 A statistical analysis of the Protein Data Bank reveals th

182 From a statistical analysis of the regression model and by usin

183 A statistical analysis of the relationship between the pri

184 ependent quantitative trait loci mapping and statistical analysis of the relationships between the Gl

185 Statistical analysis of the resolvable dwell times revea

186 ectron diffraction coupled with multivariate statistical analysis of the resulting data.

187 Statistical analysis of the results was performed using

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

189 Statistical analysis of the spectra was performed using

190 Statistical analysis of their concentration changes show

191 Multivariate statistical analysis of their observed DART-HRMS spectra

192 maging one brain per day to provide a robust statistical analysis of these imaging data.

193 Statistical analysis of these indels shows significant e

194 Statistical analysis of thickness change as a function o

195 In this work, we performed statistical analysis of twin shapes viewing along three

196 lectron backscatter diffraction (EBSD) based statistical analysis of twinning microstructures and cry

197 s, predicted outcomes are used in subsequent statistical analysis, often without accounting for the d

198 s difficult to analyse by either traditional statistical analysis or modern machine learning methods.

199 modeling, experimental characterization, and statistical analysis our system, demonstrating single-ru

200 Univariate and multivariate statistical analysis overlap identified haptoglobin-rela

201 The HRQOL statistical analysis plan prespecified eight aspects of

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

203 egarding how to handle non-PH in pre-defined Statistical Analysis Plans, trial publications, and regu

204 erimental design, randomization schemes, and statistical analysis plans, while neglecting social cont

205 Statistical analysis plays a significant role in studyin

206 By means of statistical analysis (principal component analysis-linea

207 i.e. biological) process and the form of the statistical analysis produce major conceptual and operat

208 Nose method in combination with multivariate statistical analysis provided an effective and rapid too

209 Multivariate statistical analysis revealed 15 significant differentia

210 The statistical analysis revealed considerable heterogeneity

211 Statistical analysis revealed lognormal distributions of

212 Statistical analysis revealed significant correlations b

213 Statistical analysis revealed significant differences in

214 Statistical analysis revealed that red shift of fluoresc

215 Statistical analysis showed a highly significant correla

216 The statistical analysis showed significant differences betw

217 Statistical analysis showed soil parameters to affect el

218 Statistical analysis showed that echolucent, high-stenos

219 Moreover, statistical analysis showed that the identified angles p

220 Statistical analysis showed that the most consistent app

221 Statistical analysis showed that the obtained by design

222 The statistical analysis showed that the roasting does not a

223 Regarding the different varieties, statistical analysis showed that there were no significa

224 Statistical analysis shows significant increases in 12 t

225 Our statistical analysis shows that GEDDs are present both i

226 Our statistical analysis shows three main findings.

227 asily integrated with microplate readers and statistical analysis software.

228 The methods apply mutual information, statistical analysis, structure clustering and other pri

229 ls, two follow-up articles and two secondary statistical analysis studies) were considered for full t

230 ormative features that can impede subsequent statistical analysis such as biomarker discovery and met

231 ombined electrophysiology, optogenetics, and statistical analysis suggested that S-STD mechanism is i

232 We then employed a statistical analysis technique called structural equatio

233 Fifty-five patients were available for statistical analysis (test group, n = 28; control group,

234 of 243 virus-host combinations and report a statistical analysis that documents the associations bet

235 For statistical analysis the cause-specific hazard regressio

236 For statistical analysis the freely available R and the ggpu

237 For statistical analysis, the cause-specific hazard regressi

238 re, as we were unable to perform our planned statistical analysis, the primary objective was modified

239 Here we apply a statistical analysis to a large geochemical dataset of m

240 694) used population-level statistical analysis to argue that measles infection res

241 t information-theoretic models can go beyond statistical analysis to derive insightful kinetic inform

242 A, such as Metran, followed by comprehensive statistical analysis to determine the goodness of fit an

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

244 mp experiments, in combination with advanced statistical analysis, to show that octanoyl-CoA binding

245 In addition, we conducted a statistical analysis, together with a graphical investig

246 A set of integrated statistical analysis tools which enable users to identif

247 e number of genuine replicates, and when the statistical analysis treats all data points as independe

248 Statistical analysis used a linear mixed model, adjusted

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

250 Statistical analysis used the Mann-Whitney test for comp

251 rographs such as 2D-myelinating cultures and statistical analysis using R.

252 The statistical analysis was adjusted for hospital and for r

253 Unsupervised multivariate statistical analysis was applied to the data set.

254 Statistical analysis was based on cluster bootstrap anal

255 The statistical analysis was carried out in the R platform u

256 Statistical analysis was carried out using multiple line

257 Statistical analysis was completed to identify whether t

258 Statistical analysis was conducted from January 1 to Jun

259 Statistical analysis was conducted using the Fine-and-Gr

260 The statistical analysis was conducted with multivariable li

261 Statistical analysis was done by Comprehensive Meta-Anal

262 Statistical analysis was done by employing unpaired two-

263 Sample-size was estimated was statistical analysis was done using analysis of variance

264 Subsequent statistical analysis was done.

265 Statistical analysis was performed between systems and b

266 Statistical analysis was performed by Kruskal-Wallis and

267 Statistical analysis was performed by using a chi(2) tes

268 Statistical analysis was performed by using linear mixed

269 Statistical analysis was performed by using one-tailed t

270 Statistical analysis was performed by using the Student

271 Statistical analysis was performed comparing results bef

272 Statistical analysis was performed on an intention-to-tr

273 Statistical analysis was performed on an intention-to-tr

274 Statistical analysis was performed on volatiles, quality

275 Statistical analysis was performed to assess the perform

276 A multivariate statistical analysis was performed to find the dependenc

277 Statistical analysis was performed using a linear mixed-

278 e pain scores were not normally distributed, statistical analysis was performed using a nonparametric

279 Statistical analysis was performed using random effects

280 Statistical analysis was performed using SPSS software v

281 Statistical analysis was performed using the McNemar tes

282 Statistical analysis was performed using Wilcoxon rank-s

283 Postmatching statistical analysis was performed with conditional logi

284 Statistical analysis was performed with Friedman test.

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

286 Statistical analysis was performed with the Statistical

287 Statistical analysis was performed with the Wilcoxon ran

288 Statistical analysis was then applied in the form of non

289 Though advanced statistical analysis was used more commonly in high-impa

290 Statistical analysis was used to correlate interobserver

291 Benefiting from analytical modeling and statistical analysis, we address error propagation and p

292 Using advanced multivariate statistical analysis, we also showed that qPCR-negative

293 earchers to run most routines in fundamental statistical analysis, we developed an interactive GUI; i

294 ions of forest lands along with multivariate statistical analysis, we found that there were significa

295 Both visualization and statistical analysis were performed for analyzing the ob

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

297 Software was used for statistical analysis with a P value of less than .05 con

298 A linear regression model was used for statistical analysis with study site as a covariate.

299 d implement highly standardised and readable statistical analysis workflows.

300 r the ontological VIO modeling and VIO-based statistical analysis would contribute to the enhanced va