ライフサイエンスコーパス: statistical analysis

1 earest neighbors, replacement and method for statistical analysis).

2 st and linear regression model were used for statistical analysis.

3 r excluding hypothyroidism patients from the statistical analysis.

4 se with downstream packages for reproducible statistical analysis.

5 ents with complete data were included in the statistical analysis.

6 ing a solid foundation for a new large-scale statistical analysis.

7 and Wilcoxon signed-rank tests were used for statistical analysis.

8 (NMR) spectroscopy, followed by multivariate statistical analysis.

9 cted through a process of expert opinion and statistical analysis.

10 nalysis of variance and t test were used for statistical analysis.

11 nt data matrix urged the use of multivariate statistical analysis.

12 and linear regression analysis were used for statistical analysis.

13 ber of RDT-negative ACT-treated cases limits statistical analysis.

14 Stereopsis was log transformed for statistical analysis.

15 test and paired Student t test were used for statistical analysis.

16 olomics techniques combing with multivariate statistical analysis.

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

18 -up as a reference standard and subjected to statistical analysis.

19 mics must be appropriately addressed through statistical analysis.

20 xcessive impact of the stronger peaks in the statistical analysis.

21 and linear mixed-effect models were used for statistical analysis.

22 on observed minimum surface temperature and statistical analysis.

23 -measures analysis of variance were used for statistical analysis.

24 y detected at mammography were excluded from statistical analysis.

25 high-resolution data amenable to multilevel statistical analysis.

26 test for multiple comparisons were used for statistical analysis.

27 Student t test and chi(2) test were used for statistical analysis.

28 t-based miRNA expression data for subsequent statistical analysis.

29 criptive statistics and t test were used for statistical analysis.

30 ding AL, age and gender under control in the statistical analysis.

31 uilt upon redefining the fundamental unit of statistical analysis.

32 3414 keratoplasty cases were included in the statistical analysis.

33 were recorded and submitted to multivariate statistical analysis.

34 an R script for graphical visualization and statistical analysis.

35 etabolome-wide internal standardization, and statistical analysis.

36 .21; p=0.41), thus precluding further formal statistical analysis.

37 o millions of model simulations required for statistical analysis.

38 onate sample, with a subsequent quantitative statistical analysis.

39 id freezing step, which were separated using statistical analysis.

40 R Statistical Software was used for statistical analysis.

41 gression trees (CART) analyses were used for statistical analysis.

42 agreement coefficient analyses were used for statistical analysis.

43 For statistical analysis, a simple (from a clinical perspect

44 The data were subjected to statistical analysis allowing differentiating between th

45 These indices lend themselves to statistical analysis and are system-independent in that

46 ombines genome-based model construction with statistical analysis and calibration to experimental dat

47 tion approach greatly increases the power of statistical analysis and correctly identifies pathways k

48 pectrometry (DESI-MS) imaging validated with statistical analysis and correlating pathology.

49 selections combined with deep sequencing and statistical analysis and enables the direct, scalable di

50 rates the impact of information recovery via statistical analysis and full mapping in spectroscopic s

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

52 pothesis significance testing that dominates statistical analysis and inference.

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

54 Statistical analysis and machine learning effectively gu

55 Data processing, statistical analysis and metabolite annotation are execu

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

57 a (FASTQ files) as input, performs automated statistical analysis and presents results in a user-frie

58 Following statistical analysis and stringent filtration, we identi

59 st to optimistic estimates based on regional statistical analysis and theoretical approaches.

60 turn influence the outcome of the associated statistical analysis and validation.

61 Bioconductor provide a generic framework for statistical analysis and visualization, as well as speci

62 oying rigorous experimental designs, careful statistical analysis, and clearly described intervention

63 pants, and inclusion of sex-based reporting, statistical analysis, and discussion of data.

64 the software simplifies data representation, statistical analysis, and visualization.

65 scriminant analysis (PLS-DA), a multivariate statistical analysis approach which serves to first find

66 We discuss how the statistical analysis can guide further development of th

67 The statistical analysis cannot establish causality.

68 For statistical analysis, chi(2) test, Fisher exact test, Ma

69 Statistical analysis combining air quality data and mete

70 e not masked to intervention allocation, but statistical analysis commands were constructed masked to

71 Statistical analysis comprised a random-effects model wi

72 Statistical analysis could not be done.

73 e can be easily extended to include advanced statistical analysis, data visualization and data integr

74 Statistical analysis demonstrated a lack of regional ass

75 uctose and, in combination with multivariate statistical analysis, detect glucose accurately in the 1

76 Methodological quality and reporting of statistical analysis did not substantially differ by sel

77 Statistical analysis did not support differentiating the

78 by bringing in an expert in study design and statistical analysis, Dr Rebecca Betensky, a Professor o

79 Statistical analysis entailed calculating percentages, r

80 The primary statistical analysis examined changes in total distribut

81 Statistical analysis (Fisher's exact test) indicated the

82 Statistical analysis for this study used data collected

83 Mixed-model statistical analysis found no difference in the associat

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

85 ns; however, without robust multidimensional statistical analysis, general discrimination criteria ha

86 subdivided into 2 groups preoperatively for statistical analysis: Group 1, cone located within the c

87 Using these data, our statistical analysis identified 46, 69, and 82 AEs signi

88 Multivariate statistical analysis identified 79 differentially expres

89 Data visualisation and statistical analysis identified significant chemical cha

90 h systematic errors that may severely affect statistical analysis if the data are not properly calibr

91 by Langbein and Puppe address our choice of statistical analysis in assigning preference between set

92 one) on the complexities of study design and statistical analysis in the papers we are considering.

93 format ready for multivariate and integrated statistical analysis in the R environment.

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

95 Statistical analysis included chi-square tests, Kaplan-M

96 Statistical analysis included data pooling, meta-regress

97 Statistical analysis included descriptive statistics, ca

98 Statistical analysis included multiple logistic regressi

99 Statistical analysis included use of the two-sample t te

100 e microchimerism data present challenges for statistical analysis, including a skewed distribution, e

101 Using Multivariate statistical analysis, Ingenuity pathway analysis softwar

102 Moreover, statistical analysis is often complicated by various con

103 d mass spectrometer, ambient ionization, and statistical analysis is suitable for on-site real-time f

104 The results were subjected to statistical analysis (Kruskal-Wallis test, cluster analy

105 (18)F-FDG PET brain imaging with advanced statistical analysis may provide a tool to facilitate th

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

107 Although several statistical analysis methods have been proposed for semi

108 ination of machine learning and multivariate statistical analysis methods to provide further partitio

109 For the statistical analysis, mixed models for repeated measures

110 -mass spectrometry (GC-qMS) and multivariate statistical analysis (MVA).

111 Statistical (analysis of covariance) and clinical effect

112 We also present a complementary statistical analysis of 13 data sets of phytoplankton an

113 A statistical analysis of 203 high-throughput screens was

114 Here we provide a statistical analysis of 250 spontaneous transitions betw

115 Statistical analysis of 57 correct and 171 incorrect art

116 yte concentration at each pixel, and finally statistical analysis of all 8000+ concentration predicti

117 ecord review and risk factors identified via statistical analysis of all discharges during this perio

118 ghput acyclical classifiers and hierarchical statistical analysis of big data.

119 itration experiments into a global analysis, statistical analysis of binding parameters and graphical

120 metabolomics analyses routines: multivariate statistical analysis of both solution and HRMAS data pro

121 screening as the primary outcome measure for statistical analysis of change in mood over study period

122 anged states are objectively identified from statistical analysis of density distributions.

123 This approach is based on statistical analysis of distances among elastically alig

124 In this study we first describe a statistical analysis of DNA methylation data (both cross

125 l groupings of GO terms and genes as well as statistical analysis of enriched functions.

126 To substantiate this claim, we performed a statistical analysis of expression data in different tra

127 This makes statistical analysis of extinction and rediscovery chall

128 ed from all centres, using whole-brain-based statistical analysis of FA maps, confirmed the most sign

129 We compare statistical analysis of growth kinetics and shape evolut

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

131 Indeed, rigorous statistical analysis of high-throughput FG screening dat

132 abolite imaging of live Euglena gracilis and statistical analysis of intracellular metabolite distrib

133 nd ProStaR are software tools to perform the statistical analysis of label-free XIC-based quantitativ

134 Here, statistical analysis of large data sets reveals that whe

135 entire cell cycle, our method allows for the statistical analysis of locus position and motion, the s

136 Cardinal is an R package for statistical analysis of mass spectrometry-based imaging

137 pulation, MDK99, which can be evaluated by a statistical analysis of measurements performed manually

138 truction of Unobserved States (PICRUSt), and Statistical Analysis of Metagenomic Profiles (STAMP).

139 eveloped two methods: the first one based on statistical analysis of multicolor lineage tracing, allo

140 les to efficient, scalable, and reproducible statistical analysis of multiomics data and enhances dat

141 ylation linkage, as well as the simultaneous statistical analysis of multiple sample groups.

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

143 Statistical analysis of observational data.

144 sed the program SPSS version 20.0.0. for the statistical analysis of our data.

145 associated collective chemotaxis behavior by statistical analysis of over a thousand swimming traject

146 have been developed for post-quantification statistical analysis of proteomics data, most of them ar

147 on; however, more rigorous approaches to the statistical analysis of qPCR data are needed.

148 Statistical analysis of RP values was performed using th

149 , we elucidate the origin of randomness by a statistical analysis of SCR events, which do not follow

150 Statistical analysis of single-molecule trajectories and

151 nomeRunner web server to automate systematic statistical analysis of SNP sets within a regulatory con

152 ic), without a global map of realms based on statistical analysis of species across all higher taxa.

153 Statistical analysis of the approximately 10(4) single-s

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

155 ion of superresolutive optical methods and a statistical analysis of the data based on a recent theor

156 quantification followed by multivariate and statistical analysis of the data found that microsamplin

157 d here we review methods for its recovery by statistical analysis of the data.

158 A dedicated statistical analysis of the DICOM images was developed a

159 individuals with mature gonads and conducted statistical analysis of the expected long-distance downs

160 We present here a statistical analysis of the first contact time distribut

161 ed spatial statistics to obtain a voxel-wise statistical analysis of the fractional anisotropy data.

162 ion are conducted for global sensitivity and statistical analysis of the major risk metrics: CO2/wate

163 Multivariate statistical analysis of the metabolomics data revealed t

164 Statistical analysis of the obtained data demonstrated t

165 Through the statistical analysis of the oscillatory component of a s

166 Statistical analysis of the output then allows a quantit

167 tional data from AtCruA ISD-YFP fusions with statistical analysis of the physiochemical properties of

168 m non smokers by univariate and multivariate statistical analysis of the profiling data, and 62 bioma

169 A statistical analysis of the Protein Data Bank reveals th

170 Statistical analysis of the radiocarbon record shows tha

171 of the prehistoric human population based on statistical analysis of the radiocarbon record.

172 ance, there is currently no consensus on the statistical analysis of the resulting data.

173 Statistical analysis of the results obtained from repeti

174 A statistical analysis of the results reveals two main fin

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

176 Based on a statistical analysis of the stability changes for all va

177 Statistical analysis of the surface atom density suggest

178 The statistical analysis of the variables tested was conduct

179 Statistical analysis of their concentration changes show

180 Multivariate statistical analysis of their observed DART-HRMS spectra

181 he labs were grouped in four clusters by the statistical analysis of their performances.

182 We perform a detailed statistical analysis of their speed, survival, direction

183 Isobologram-based statistical analysis of this combination demonstrated su

184 A simple statistical analysis of this limited membrane proteomic

185 Statistical analysis of transposon insertion distributio

186 n recovering forests is estimated based on a statistical analysis of tropical and temperate studies o

187 Univariate statistical analysis of variance (ANOVA) established tha

188 Much of the statistical analysis of X-chromosomal information is com

189 In this article, we first make a statistical analysis on the CtCV of 5473 fresh cells fro

190 The statistical analysis on the database of the Study of Add

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

192 posed method, we also present the results of statistical analysis on the Study of Addiction: Genetics

193 For statistical analysis, paired t tests and a Wilcoxon sign

194 For statistical analysis, participants with full data on bot

195 alyses have been recalculated using the same statistical analysis pipeline released via GitHub as par

196 planned interim analysis of cohort 1 and the statistical analysis plan for the primary endpoint was a

197 sets, data dictionary, case report file, and statistical analysis plan from the original trial access

198 on-to-treat analysis based on a prespecified statistical analysis plan included all participants elig

199 The statistical analysis plan specified that if the between-

200 egative findings for the primary outcome and statistical analysis plan, this lower incidence was not

201 es were prespecified in the protocol and the statistical analysis plan.

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

203 Trial registration, protocols, and statistical analysis plans are critically important in e

204 d raw data were processed using multivariate statistical analysis (Principal Component Analysis, PCA)

205 I suggest that statistical analysis probably would find slower life his

206 rch, methodological quality and reporting of statistical analysis process in the field of cancer base

207 Statistical analysis reveal that cuff contacts placed ci

208 Statistical analysis revealed 34-88 enriched proteins in

209 Statistical analysis revealed a close association betwee

210 Statistical analysis revealed a significant relationship

211 X2 tumors not being pretreated by pHIFU, and statistical analysis revealed averaged 34.5% enhancement

212 Compared with the controls, statistical analysis revealed lower qAF8 values in the o

213 The statistical analysis revealed significant differences (P

214 Statistical analysis revealed similar metabolic changes

215 Statistical analysis revealed that freshly-distilled and

216 differences in conjunction with multivariate statistical analysis reveals a significant change to the

217 The statistical analysis reveals new possible markers for th

218 Statistical analysis reveals that both FOXM1 and KIF20A

219 A statistical analysis reveals that the collapse size is a

220 The longitudinal statistical analysis showed a significant improvement of

221 Statistical analysis showed strong correlation between (

222 Statistical analysis showed that roasting and non-defatt

223 Statistical analysis showed that the bacterial community

224 Statistical analysis showed that the following factors w

225 Statistical analysis showed there was no significant dif

226 Statistical analysis shows significant increases in 12 t

227 The statistical analysis shows that in the specimens with de

228 A statistical analysis shows that knowledge of trg and m a

229 For statistical analysis, Student t test, Mann-Whitney U tes

230 ker investigations, joined with multivariate statistical analysis, such as PLS-DA (Partial Least Squa

231 Phylogenetic and statistical analysis suggested that identical sequences

232 iques, including univariate and multivariate statistical analysis, supervised learning, correlation n

233 A range of multivariate statistical analysis techniques, including principal com

234 ination with established scoring methods and statistical analysis, test the performance of 32 differe

235 ent, gene family abundance calculations, and statistical analysis (three levels of analyses are provi

236 t test and Mann-Whitney U test were used for statistical analysis to compare differences between the

237 ance and paired-sample t tests were used for statistical analysis to compare PET reconstruction error

238 on, we have used fluorescence microscopy and statistical analysis to develop a quantitative model of

239 Raman spectroscopy was applied with advanced statistical analysis to discriminate between Caucasian (

240 e been proposed to improve epsilon(c), but a statistical analysis to establish baseline epsilon(c) le

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

242 pect of this paper is the application of the statistical analysis to real site rock core contaminant

243 activated light microscopy with quantitative statistical analysis to visualize protein distribution i

244 t is possible to choose the most appropriate statistical analysis tool for a given simulated design.

245 To date, classical statistical analysis tools have being routinely applied,

246 rom the ongoing development of sophisticated statistical analysis tools that enable accurate inferenc

247 On statistical analysis, trait measurements taken at 20 wee

248 appeared to vary depending on the method of statistical analysis used and the cohort of assays inclu

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

250 Statistical analysis used Student's t test and multivari

251 Statistical analysis used Wilcoxon rank sum test, Kruska

252 The statistical analysis was adjusted for hospital and for r

253 ain reaction (RT-qPCR) assays and a thorough statistical analysis was conducted for the RT-qPCR data.

254 Statistical analysis was conducted from January 1 to Jun

255 Statistical analysis was conducted from January 1, 2016

256 Statistical analysis was conducted from July 20 to Septe

257 Statistical analysis was conducted using the Student t t

258 Statistical analysis was done using SPSS version 17.

259 Statistical analysis was performed by Kruskal-Wallis and

260 Statistical analysis was performed by using a two-propor

261 Statistical analysis was performed by using analysis of

262 Statistical analysis was performed by using multivariabl

263 Statistical analysis was performed by using the Student

264 Statistical analysis was performed by using the Wilcoxon

265 Statistical analysis was performed by using univariate a

266 Statistical analysis was performed for the following: (a

267 Statistical analysis was performed from July 16, 2015, t

268 Statistical analysis was performed from November 2, 2015

269 The statistical analysis was performed in January 2016.

270 Basic statistical analysis was performed including mean, media

271 Statistical analysis was performed on a per-protocol bas

272 Furthermore, a preliminary statistical analysis was performed on eight Euro 4-6 die

273 Statistical analysis was performed using a generalized e

274 Statistical analysis was performed using generalized est

275 Statistical analysis was performed using linear and pena

276 Statistical analysis was performed using software.

277 Statistical analysis was performed using SPSS Statistics

278 Statistical analysis was performed using SPSS version 22

279 Statistical analysis was performed using unpaired t-test

280 Statistical analysis was performed using Wilcoxon rank-s

281 Statistical analysis was performed with an unpaired t te

282 Postmatching statistical analysis was performed with conditional logi

283 Statistical analysis was performed with Friedman test.

284 Statistical analysis was performed with Spearman rank co

285 Statistical analysis was performed with SPSS V21.

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

287 Statistical analysis was performed with the Statistical

288 Statistical analysis was performed with the t test, chi(

289 Statistical analysis was performed with Wilcoxon signed

290 Statistical analysis was performed.

291 Descriptive statistical analysis was performed; textual data were an

292 Statistical analysis was then applied in the form of non

293 Statistical analysis was undertaken using Revman 5.

294 Statistical analysis was used to correlate interobserver

295 Using ad hoc statistical analysis, we determined outcomes in 438 pati

296 For our statistical analysis, we grouped these health focus area

297 ectronic properties together with regression statistical analysis, we identify a model for ligand suc

298 For statistical analysis, we used Bland-Altman and linear re

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

300 We found that statistical analysis with the expected copy number is mo