ライフサイエンスコーパス: correlation coefficient

1 as strong (r = 0.7436, p < 0.0001, Pearson's correlation coefficient).

2 motor indices of nystagmus (P > .1, Spearman correlation coefficient).

3 Agreement was quantified as the intraclass correlation coefficient.

4 k test, Wilcoxon rank sum test, and Spearman correlation coefficient.

5 were negatively correlated using the Pearson correlation coefficient.

6 of target was assessed by using the Pearson correlation coefficient.

7 bserver agreement was assessed by intraclass correlation coefficient.

8 lations were assessed with the Spearman rank correlation coefficient.

9 g radiologists was measured using intraclass correlation coefficient.

10 ET/CT, when available, using the concordance correlation coefficient.

11 reement was assessed by using the intraclass correlation coefficient.

12 r mean, and the correlation with the Pearson correlation coefficient.

13 by using nonparametric tests and the Pearson correlation coefficient.

14 g parameters were evaluated with the Pearson correlation coefficient.

15 er reliability was assessed using intraclass correlation coefficients.

16 ransformed before calculation of the Pearson correlation coefficients.

17 the largest magnitude of difference between correlation coefficients.

18 agreement, kappa statistics, and intraclass correlation coefficients.

19 by kappa coefficients (kappa) and intraclass correlation coefficients.

20 was associated with systolic blood pressure (correlation coefficient 0.08, p < 0.001, in both ELSA an

21 ditionally associated with apolipoprotein B (correlation coefficient 0.13, p = 0.001) and lipoprotein

22 ; both p < 0.001), high-density lipoprotein (correlation coefficient 0.16 and -0.14, respectively; bo

23 0.001), low-density lipoprotein cholesterol (correlation coefficient 0.30 and 0.14, respectively; bot

24 ctively; both p < 0.001), and triglycerides (correlation coefficient 0.43 and 0.46, respectivly; both

25 in both ELSA and NPHSII), total cholesterol (correlation coefficient 0.46 and 0.34 in ELSA and NPHSII

26 h broth microdilution MIC (MICBMD, Matthew's correlation coefficient 0.887), align with the internati

27 linearity range between 0.5 and 3mg/kg, with correlation coefficient 0.99, limit of detection (LOD) r

28 to be linear in the range of 6-16mug/mL with correlation coefficient 0.9979 and 0.9993 respectively.

29 tween 1.4.10(-7) and 8.5.10(-9)gL(-1) with a correlation coefficient 0.9998.

30 ater and inter-rater reliability (intraclass correlation coefficients 0.98 and 0.97, respectively).

31 Moreover, predicted HSEalpha has a higher correlation coefficient (0.46) to the stability change b

32 ear range 0.03-600 ng/mL) with a good linear correlation coefficient (0.9999), a high detection limit

33 d Pearson's r (+0.974) but a poor intraclass correlation coefficient (+0.528) as the result of undere

34 ficient 0.13, p = 0.001) and lipoprotein(a) (correlation coefficient -0.11, p < 0.001).

35 use of observation-only admissions (Pearson correlation coefficient = 0.01) or discharge to a skille

36 harge to a skilled nursing facility (Pearson correlation coefficient = 0.05).

37 ith Delirium Rating Scale-Revised-98 scores (correlation coefficient = 0.64).

38 modified Advocacy-Inquiry Scores (intraclass correlation coefficient = 0.87) was excellent.

39 ized" EZ reflectivity assessment (intraclass correlation coefficient = 0.986, coefficient of variatio

40 ted extremely well with the predicted value (correlation coefficient = 0.99).

41 assessed by flow reversal method (intraclass correlation coefficient =0.931; P<0.001) over both itera

42 evels were significantly correlated (Pearson correlation coefficient, 0.205; P = .001, 2-sided), but

43 mmendations correlated with the effect size (correlation coefficient, 0.22; 95% CI, 0.35-0.10; P < .0

44 rls, a weak association was noted (Pearson's correlation coefficient, 0.34; 95% CI, 0.20-0.47; P < 0.

45 en age and BMI Z-scores was noted (Pearson's correlation coefficient, 0.50; 95% confidence interval [

46 sence and from good to excellent (intraclass correlation coefficient, 0.69-0.99) for quantitative ves

47 nded best with pathology volumes (intraclass correlation coefficient, 0.72; P < .001).

48 amily correlation for QAT burden (intraclass correlation coefficient, 0.73 in NF1-affected first-degr

49 ne-induced coronary flow reserve (intraclass correlation coefficient, 0.922; P<0.001).

50 fficient of variation, 0.8%-5.2%; intraclass correlation coefficient, 0.93-0.98) in all parameters.

51 MR elastography than with biopsy (intraclass correlation coefficient, 0.95 vs 0.89).

52 accurate K1 values (R(2) = 0.94; intraclass correlation coefficient, 0.96).

53 d thick CT images were very good (intraclass correlation coefficient, 0.963 and 0.899, respectively).

54 minal measurements were reliable (intraclass correlation coefficient, 0.98; 95% confidence interval:

55 ell correlated with infused dose (intraclass correlation coefficient, 0.98; P < .001).

56 els and tumor-to-liver volume ratio (Pearson correlation coefficients, 0.105 and 0.113, respectively;

57 ere inversely correlated with study quality (correlation coefficient, -0.06; 95% CI, 0.01 to -0.12; P

58 . 0.88); test-retest reliability (intraclass correlation coefficient=0.66 vs. 0.61); convergent valid

59 aring glasses in adults was high (intraclass correlation coefficient, 1.00; 95% CI, 0.999-1.00).

60 by the pressure and water content with high correlation coefficients (98.4% and 97.5%, respectively)

61 with the measurements registering interclass correlation coefficients above 0.9.

62 After optimization, the method showed correlation coefficients above 0.99, LOQs ranged between

63 Model preference is assessed and correlation coefficients across times are calculated to

64 Regression analysis, correlation coefficient analysis, and test-retest valida

65 rformance of Q1VarPred in terms of Matthew's correlation coefficient and area under the receiver oper

66 erver agreement was quantified by intraclass correlation coefficient and Bland-Altman analysis.

67 d reproducibility was assessed by intraclass correlation coefficient and Bland-Altman analysis.

68 Data were compared using Pearson's correlation coefficient and Bland-Altman plots.

69 different lung function parameters, Pearson correlation coefficient and Fisher z transformation were

70 al distribution was evaluated with Pearson's correlation coefficient and Spearman's rho.

71 istance was assessed by using the intraclass correlation coefficient and the coefficient of variation

72 These models showed good correlation coefficients and allowed for activity estima

73 The proposed method obtains both higher correlation coefficients and better canonical loading pa

74 External validity was confirmed by the correlation coefficients and Bland and Altman plots of t

75 LNK in comparison with MESA, we used Pearson correlation coefficients and Bland-Altman plots.

76 Intraclass correlation coefficients and coefficients of variation f

77 images according to metrics such as overall correlation coefficients and differences in distances of

78 el DTN time and D2B time using Spearman rank correlation coefficients and hierarchical linear regress

79 the measures and HIV incidence with Spearman correlation coefficients and linear regression analysis.

80 s across diagnosis and calculated intraclass correlation coefficients and median odds ratios to quant

81 , and retinoids were assessed using Spearman correlation coefficients and non-parametric tests were u

82 This study uses correlation coefficients and spectral analysis to invest

83 hypotheses were performed and reported with correlation coefficients and unstandardized beta coeffic

84 using the Wilcoxon signed-rank test, Pearson correlation coefficient, and Bland-Altman analysis.

85 The correlation coefficient, and limits of detection (LOD) a

86 a's overlap index, as well as the intraclass correlation coefficient, and performed fold change analy

87 The coefficient of variation, intraclass correlation coefficient, and pooled standard deviation w

88 formed with the t test, chi(2) test, Pearson correlation coefficient, and receiver operating characte

89 our SCCA methods identify better or similar correlation coefficients, and better canonical loading p

90 with linear regression analyses, intraclass correlation coefficients, and coefficients of variation.

91 The TER's SEs and correlation coefficient are computed.

92 LDA using the correlation coefficients as variables to discriminate sa

93 a strong linear association, with a Pearson correlation coefficient between 0.703 and 0.962.

94 The best-fit alpha is determined by the best correlation coefficient between AI rd and cfPWV.

95 a similar periodic, decaying pattern of the correlation coefficient between major groove widths infe

96 In cohort 2, PVEC increased the correlation coefficient between mesial temporal cortex S

97 s independent of mRNA amount and impacts the correlation coefficient between protein and mRNA levels.

98 nder differing regimes of vessel density the correlation coefficient between the measure of spatial o

99 The Pearson correlation coefficient between the two techniques in al

100 effects for PC and WSPC, explaining the low correlation coefficient between the two traits.

101 The Spearman correlation coefficient between this metric and measured

102 The highest (Spearman rho) correlation coefficients between anterior and posterior

103 hat tat-pMElux (R>0.9) had consistently high correlation coefficients between CFU and relative biolum

104 Spearman correlation coefficients between energy-adjusted intakes

105 Pearson correlation coefficients between observed and Google-pre

106 excellent Pearson correlation and intraclass correlation coefficient, both being 0.99 for serum and p

107 The SEs of TERs and their correlation coefficient can be employed to conduct the h

108 rror (SEE) = 24.470 cm(2), p < 0.001), Lin's correlation coefficient (CCC) was 0.785; and the limit o

109 The Wilcoxon signed-rank test, concordance correlation coefficient (CCC), and analysis of variance

110 ectively; P=0.18 and 0.62, respectively, for correlation coefficient comparison) and performed equall

111 The intraclass correlation coefficient for absolute agreement was 0.95

112 e enhancement (P < .001), and the intraclass correlation coefficient for ADCs was 0.788 (P < .001).

113 sing high-performance liquid chromatography (correlation coefficient for glucose R(2)=0.998, for lact

114 The pooled correlation coefficient for graft thickness vs BCVA was

115 The concordance correlation coefficient for pre- and posttreatment measu

116 ernal consistency reliability and intraclass correlation coefficient for test-retest reliability.

117 The correlation coefficient for the combined data set includ

118 Correlation coefficients for ASCOv1 versus ESMO, ASCOv2

119 a showed low levels of bias and high Pearson correlation coefficients for calcification (-0.096 mm(2)

120 ng-term averages and to calculate intraclass correlation coefficients for each parameter.

121 Spearman's correlation coefficients for nasal EPX and pharyngeal EP

122 The interrater and intrarater intraclass correlation coefficients for scale were consistently nea

123 Interobserver agreement (intraclass correlation coefficient) for ARI index was 0.78.

124 sing summary-level data require the pairwise correlation coefficients ([Formula: see text]) of the va

125 agreement was excellent, with an intraclass correlation coefficient greater than 0.75 for both T1 an

126 an assessment was generally good (intraclass correlation coefficient > 0.7), and average time to appl

127 asures at either uptake interval (intraclass correlation coefficient > 0.97 and R(2) > 0.98).

128 nd during therapy (R(2) >/= 0.94; intraclass correlation coefficient > 0.97).

129 nd during therapy (R(2) >/= 0.94; intraclass correlation coefficient > 0.97).

130 ty of measurements was excellent (intraclass correlation coefficient >0.947).

131 ith excess cardiovascular mortality (Pearson correlation coefficients >/=0.75, P </= .05 for 4 differ

132 th the experiment (R(2)> 0.99, Spearman rank correlation coefficients >0.9) and the model is predicti

133 erobserver agreement according to intraclass correlation coefficients >0.90 for all parameters.

134 ), and maximum slope enhancement (intraclass correlation coefficient, >0.9).

135 Additionally, all measures had an intraclass correlation coefficient higher than 0.99.

136 0.1-3.98 ng/mL for sulfonamides, with linear correlation coefficients higher than 0.97.

137 orizontal and vertical deviation (intraclass correlation coefficient horizontal 0.83, 95% confidence

138 Intraclass correlation coefficient (ICC) and Bland-Altman plots wer

139 Intraclass correlation coefficient (ICC) and coefficient of reliabi

140 atability were assessed using the intraclass correlation coefficient (ICC) and coefficient of repeata

141 Intraclass correlation coefficient (ICC) assessed with mixed-model

142 robustness was evaluated with the intraclass correlation coefficient (ICC) at 31-50 external sites pe

143 Intraclass correlation coefficient (ICC) between graders was calcul

144 Intraclass correlation coefficient (ICC) for these gradings was 0.9

145 Intraclass correlation coefficient (ICC) was used to assess reprodu

146 cent confidence intervals and the intraclass correlation coefficient (ICC) were calculated and adjust

147 variance, two-sample t test, and intraclass correlation coefficient (ICC) were used.

148 by the Cohen kappa statistic and intraclass correlation coefficient (ICC) with corresponding 95% con

149 difference (PD), the absolute PD, intraclass correlation coefficient (ICC), and coefficient of variat

150 Using the intraclass correlation coefficient (ICC), the scale was tested for

151 oefficient of variation (CV), and intraclass correlation coefficient (ICC).

152 oducibility was assessed with the intraclass correlation coefficient (ICC).

153 sed with kappa statistics and the intraclass correlation coefficient (ICC).

154 ility was analyzed by calculating intraclass correlation coefficient (ICC).

155 coefficient of variation (CV) and intraclass correlation coefficient (ICC).

156 variability of FCT measurement by intraclass correlation coefficient (ICC).

157 tions; test-retest reliability by intraclass correlation coefficient (ICC); convergent validity by co

158 Intraclass correlation coefficients (ICC) and Bland-Altman plots we

159 Intraclass correlation coefficients (ICC) and mixed effect models w

160 ighly agreed with sonomicrometry (intraclass correlation coefficient [ICC], 0.89 and ICC, 0.90, both

161 Intraclass correlation coefficients (ICCs) and Bland-Altman analysi

162 linear mixed models to calculate intraclass correlation coefficients (ICCs) as a measure of within-p

163 Evaluation of intraclass correlation coefficients (ICCs) between antibodies to qu

164 We calculated intraclass correlation coefficients (ICCs) of biomarkers measured i

165 and child samples, we calculated intraclass correlation coefficients (ICCs) to assess triclosan repr

166 Intraclass correlation coefficients (ICCs) were calculated for the

167 Associations with melanoma and intraclass correlation coefficients (ICCs) were evaluated for the p

168 Intraclass correlation coefficients (ICCs) were used to assess agre

169 Intraclass correlation coefficients (ICCs) were used to assess agre

170 Two-way single-measure intraclass correlation coefficients (ICCs) were used to assess inte

171 kappa Values, intraclass correlation coefficients (ICCs), and Bland-Altman limits

172 between readers was assessed with intraclass correlation coefficients (ICCs).

173 ere made for each method by using intraclass correlation coefficients (ICCs).

174 assess reproducibility (kappa and intraclass correlation coefficients [ICCs]).

175 However, correlation coefficients in hospitals' paired monthly ch

176 Correlation coefficients in the comparison of obtained v

177 andard errors (SE) of the measures and their correlation coefficient is not described, and thus the s

178 he same DNA sequence, the periodicity of the correlation coefficient is not observed.

179 ce between breeds of fine-scale LD patterns (correlation coefficient <0.21), and even between discret

180 mploying conjugate Fisher transformations of correlation coefficients, MAGIC features fast computatio

181 structural clustering data gave a Matthews' correlation coefficient (MCC) of 0.53 (accuracy, 75%).

182 High correlation coefficients (mean +/- SD: 0.93 +/- 0.03) an

183 0(-5) - 6.5x10(-10)molL(-1) histidine with a correlation coefficient of (0.998) and a detection limit

184 .5x10(-6) to 1.9x10(-9)molL(-1) 2-CNP with a correlation coefficient of (0.999) and a detection limit

185 tracked the diastolic BP changes well, with correlation coefficient of -0.80 +/- 0.02 (mean +/- SE)

186 ging from 79 mL to 487 mL with an intraclass correlation coefficient of 0.23 (interquartile range, 0.

187 ubjects (n = 22), NFI and AHI had a Spearman correlation coefficient of 0.44 (p = 0.04).

188 hemoglobin differences showed an intraclass correlation coefficient of 0.47 within individual patien

189 A Pearson correlation coefficient of 0.82 with an RMSE of 0.92 kca

190 onded in 87% of the cases with an intraclass correlation coefficient of 0.84 (95% confidence interval

191 uantification, yielding an average Pearson's correlation coefficient of 0.90 for IRC and of 0.96 for

192 excellent reproducibility with an intraclass correlation coefficient of 0.903 (95% CI, 0.867-0.928).

193 coupled with mass spectrometer exhibited the correlation coefficient of 0.92, providing a good confid

194 m and 4 neurons in the hidden layer with the correlation coefficient of 0.96 and 0.99 were respective

195 The results matched well with the correlation coefficient of 0.97.

196 ion over the range of 0.05-60.0 mg/kg with a correlation coefficient of 0.9838.

197 tions from 2.5x10(3) to 2x10(4)cells/mL with correlation coefficient of 0.9937 and detection limit of

198 howed excellent agreement with an intraclass correlation coefficient of 0.996 (95% CI, 0.995-0.997; P

199 esulting in excellent Pearson and intraclass correlation coefficient of 0.998 and 0.983, respectively

200 erval between -0.9 mm to 2.5 mm; inter-class correlation coefficient of 0.998).

201 2-0.320 mg L(-1) of sulfite (as SO2), with a correlation coefficient of 0.9989.

202 ed ranging from 0.05 to 1500microgL(-1) with correlation coefficient of 0.999.

203 rameter showed a very good linearity, with a correlation coefficient of 1.00 for all detected standar

204 caffeine in the range of 0.5-20microM with a correlation coefficient of about 0.9987.

205 ent concentrations of MB and achieved a high correlation coefficient of R(2)=0.997.

206 efficient of variation), and linearity (mean correlation coefficient of r2 = 0.99).

207 tive correlation on formation of acrylamide (correlation coefficient of r=0.95 and 0.94 respectively

208 An algorithm for computing the correlation coefficient of TERs between two CIS algorith

209 tention times of two blobs and the Pearson's correlation coefficient of the two mass spectra, respect

210 predictive model was capable of achieving a correlation coefficient of up to 0.70 on cross-validatio

211 vidual temporal trends of PFOA in serum with correlation coefficients of 0.82-0.94.

212 d at the neighborhood level, with intraclass correlation coefficients of 6% for telomere length, 3.4%

213 Correlation coefficients of height-for-age z score with

214 Pearson correlation coefficients of perfusion values for white m

215 independent sample set giving strong linear correlation coefficients of prediction (rPred)>0.91 and

216 s simulations, demonstrated that the average correlation coefficients of the proposed RSA based param

217 Pearson and Spearman rank correlation coefficients of the TC and BC incidences wer

218 duct yield exhibiting systematic errors with correlation coefficients of, respectively, 0.18, 0.37 an

219 nts information, with the ranking by Pearson correlation coefficient (PCC) calculated from gene expre

220 correlated with hospital attendance (Pearson correlation coefficient [PCC] = 0.76).

221 ence method based on lactate oxidase enzyme (correlation coefficient r > 0.9).

222 ied by both tests showed strong correlation (correlation coefficient r = 0.99) across the quantifiabl

223 participant, were assessed with the Pearson correlation coefficient r.

224 We also observed a high correlation coefficient (R = 0.884) between our method a

225 Correlation coefficient (R(2)) and limit of detection (L

226 -oxidizable analogs were less active, with a correlation coefficient (R(2)) of IC50versus log of auto

227 ng labeled and unlabeled OSCs were exhibited correlation coefficient (R(2)) ranged from 0.9989 to 0.9

228 multivariate calibration NN model obtaining correlation coefficient (R(2)) values of 0.982 and 0.999

229 on line was VFALBIA = 0.698 VFACT + 29.521, (correlation coefficient (r) = 0.789, standard estimate o

230 n square error of prediction (RMSEP) and the correlation coefficient (R).

231 ther prognostic factors by using the Pearson correlation coefficient (r).

232 e pathogens in environmental samples, a high correlation coefficient (R=0.994) for Legionella spp., w

233 ange from 0.5 to 25microgmL(-1), with a high correlation coefficient (r=0.994, p<0.001) and low limit

234 Pearson correlation coefficients (r), corrected for attenuation

235 reported as standardized mean differences or correlation coefficients (R), respectively.

236 sions for midpoint depth and side cut angle (correlation coefficient, r = -0.063 and -0.067, respecti

237 ach dataset are highly correlated (Pearson's correlation coefficient, r approximately 0.75-0.85).

238 validated method showed good linearity with correlation coefficients, r(2)>0.9990 for all the analyt

239 the full set of identified MUs (intra-class correlation coefficients ranged between 0.63-0.99 and 0.

240 pollutants in blood; significant Kendall tau correlation coefficients ranged from -0.18 (Dacthal and

241 A poor correlation (correlation coefficients ranged from -0.286 to 0.478) wa

242 Intraclass correlation coefficients ranged from 0.61 for morphology

243 (R-loop) complex structures, with a Pearson correlation coefficient ranging from 0.775 to 0.886 for

244 mation and the presence of nearby tumor with correlation coefficients ranging from 0.196 to 0.384 (P

245 We estimated correlation coefficients ranging from 0.522 to 0.962 bet

246 performance, with accuracy and the Mathew's correlation coefficient reaching 74.62% and 0.49, respec

247 ed the Heckman selection model to estimate a correlation coefficient (rho) between the 2 model error

248 gmentations from clinical experts and a mean correlation coefficient (rho) of 0.98 (p < 0.001) for se

249 ing a linear mixed-effect model and Spearman correlation coefficient (rho).

250 n uveitis activity and sIL-2R (Spearman rank correlation coefficient [rho], 0.070, P = .27) nor uveit

251 was associated with genetic ITH (Spearman's correlation coefficient, rho = 0.24-0.41; P < 0.001).

252 anisms were poorly correlated (Spearman rank correlation coefficient [rs] = 0.12;P= 0.07).

253 parasitemia correlated with age (Spearman's correlation coefficient [rs] = 0.36; P < .0001).

254 ect classification (long axis: Spearman rank correlation coefficient, rs = 0.161 and P = .049; short

255 vel similarity measure, the stratum adjusted correlation coefficient (SCC), for quantifying the simil

256 nt and test-retest), reliability (intraclass correlation coefficients), sensitivity, and acceptabilit

257 Using Pearson's correlation coefficient, serum creatinine-to-serum cysta

258 The correlation coefficient, slope and intercept were calcul

259 gression coefficients [SRCs] and semipartial correlation coefficients squared [SPCCs2]) identified ke

260 opological approach has a 84% higher Pearson correlation coefficient than the current state-of-the-ar

261 gic evaluation were assessed with intraclass correlation coefficients, the Mann Whitney U test, and t

262 n Networks, Lasso regression, and Pear-son's correlation coefficient, then comparing the model networ

263 ndom effect in the model and used intraclass correlation coefficient to assess the proportion of outc

264 This is achieved by using the correlation coefficient to test the null-hypothesis, whi

265 Excellent linearity with correlation coefficient value of 0.94 was found for the

266 standards showed a good linearity with high correlation coefficient values (over 0.9989) and LOD and

267 ere observed for all regions, and intraclass correlation coefficient values (test-retest consistency)

268 that different subpopulations have distinct correlation coefficient values.

269 .0, p=0.0045), and the calculated intraclass correlation coefficient was 0.035.

270 The intraclass correlation coefficient was 0.035.

271 The Pearson product moment correlation coefficient was calculated for each pair of

272 The weighted Pearson correlation coefficient was calculated for hospitals' pa

273 Intraclass correlation coefficient was calculated to account for in

274 The intraclass correlation coefficient was calculated to determine agre

275 The correlation coefficient was found to be greater than 0.9

276 The intraclass correlation coefficient was greater than 0.8 in all meas

277 The Pearson linear correlation coefficient was used to assess correlation b

278 Spearman correlation coefficient was used to assess the associati

279 Spearman rank correlation coefficient was used to assess the relations

280 The intraclass correlation coefficient was used to assess within-patien

281 used to compare groups and the Spearman rank correlation coefficient was used to characterize the ass

282 t test, correlation analyses, and intraclass correlation coefficient were used to explore test-retest

283 Pearson's or Spearman's rank correlation coefficient were used to test the associatio

284 Compared with NICE QALYs, correlation coefficients were 0.45 (ASCOv1), 0.53 (ASCOv

285 Test-retest correlation coefficients were 0.7 for PPC and 0.5 for MC

286 Intra- and interexamination intraclass correlation coefficients were 0.996-0.998 and coefficien

287 The heritability and intrafamilial correlation coefficients were assessed for both W. bancr

288 Pearson R and linear correlation coefficients were calculated for AP and iodi

289 Spearman correlation coefficients were calculated to assess const

290 Spearman rank correlation coefficients were calculated to assess the r

291 lts from both MPI methods were compared, and correlation coefficients were calculated.

292 The intraclass correlation coefficients were excellent, from 0.972 to 0

293 PDFF, intra- and interexamination intraclass correlation coefficients were greater than or equal to 0

294 Correlation coefficients were pooled using random-effect

295 Pearson correlation coefficients were used to assess relationshi

296 Pearson correlation coefficients were used to evaluate the relat

297 Spearman correlation coefficients were used to test the associati

298 within-weeks reproducibility, the intraclass correlation coefficient with PDFF was higher than that w

299 Correlation coefficients with age were calculated (avera

300 similar convergent validity characteristics (correlation coefficients within 0.03 of each other).