戻る
「早戻しボタン」を押すと検索画面に戻ります。

今後説明を表示しない

[OK]

コーパス検索結果 (left1)

通し番号をクリックするとPubMedの該当ページを表示します
1                                              Pearson and Spearman correlations were assessed.
2                                              Pearson and Spearman rank correlation coefficients of th
3                                              Pearson chi square and Wilcoxon-Mann-Whitney tests were
4                                              Pearson chi(2) and Fisher tests were used to assess the
5                                              Pearson coefficients for correlation among the indices r
6                                              Pearson correlation analysis of the HBQ toxicity measure
7                                              Pearson correlation analysis on the average concentratio
8                                              Pearson correlation analysis resulted in network integra
9                                              Pearson correlation and analysis of variance with Tukey-
10                                              Pearson correlation and multiple linear regression were
11                                              Pearson correlation between SUVARG of the whole biopsy s
12                                              Pearson correlation coefficients (r), corrected for atte
13                                              Pearson correlation coefficients between observed and Go
14                                              Pearson correlation coefficients of perfusion values for
15                                              Pearson correlation coefficients were used to assess rel
16                                              Pearson correlation coefficients were used to evaluate t
17                                              Pearson correlation coefficients were used to evaluate t
18                                              Pearson correlation coefficients with corresponding p-va
19                                              Pearson correlation was calculated for LBMADP, LBMMR-AC,
20                                              Pearson correlation, analysis of variance, and intraclas
21                                              Pearson correlations between relative signal changes and
22                                              Pearson correlations between tumor DWI and quantitative
23                                              Pearson correlations were used to compare the reference
24                                              Pearson correlations were used to investigate the effect
25                                              Pearson correlations, bias, and Cohen kappa were compute
26                                              Pearson R and linear correlation coefficients were calcu
27                                              Pearson's correlation coefficient (rho) is the most comm
28                                              Pearson's correlation, linear regression analysis for cl
29                                              Pearson's or Spearman's rank correlation coefficient wer
30 baseline was strong (r = 0.7436, p < 0.0001, Pearson's correlation coefficient).
31 s at the rate of -0.37% per month (P < 0.01, Pearson = -0.57).
32 rs at the rate of 0.41% per month (P < 0.01, Pearson = 0.71), while demethylation of primarily non-in
33 of consciousness-impairing seizures (p<0.01, Pearson's correlation) and was associated with impairmen
34 presence of lymph node metastases (P = .022; Pearson chi(2) test).
35 nd 87.8% in the nonstented group (P = 0.034, Pearson chi-square 1-tailed test).
36 with reduction in persephin and pentraxin 3 (Pearson correlation coefficients = 0.682 and 0.638, P =
37 rov-Smirnov test; 2) Mann-Whitney U test; 3) Pearson chi(2) test; 4) Kruskal-Wallis test; and 5) regr
38 leave-one out cross-validation r(2) of 0.46 (Pearson correlation coefficient = 0.68), effectively pre
39 nd DSN, our predicted response reached a 0.6 Pearson correlation coefficient with observed responses
40 ding values for CAF were 83.7% versus 82.8% (Pearson's correlation: 0.94).
41                                            A Pearson correlation coefficient of 0.82 with an RMSE of
42                                            A Pearson correlation of 0.968 was obtained between serum
43 tions and sequence information, we achieve a Pearson's R(2) of 0.362 for predicting the results of ch
44 te-of-the-art empirical methods, achieving a Pearson correlation of 0.57 and an RMSE of 1.09 kcal/mol
45 he random forest training, which generates a Pearson correlation coefficient >0.8 between the predict
46  bins) of vascular connectome and HVPG had a Pearson correlation of 0.977 (root mean squared error, 1
47 onal cTACE during the same period by using a Pearson chi(2) test.
48 d dose and tumor reduction was found, with a Pearson correlation coefficient (R(2)) of 0.64 for tumor
49 s showed a strong linear association, with a Pearson correlation coefficient between 0.703 and 0.962.
50 ylation values were highly correlated with a Pearson correlation coefficient of 0.9 in leave-one-tiss
51  DNA-RNA (R-loop) complex structures, with a Pearson correlation coefficient ranging from 0.775 to 0.
52 f islets and (111)In-exendin-3 accumulation (Pearson r = 0.98).
53 k correlation coefficient) and measured ADC (Pearson correlation coefficient) in six prostates ex viv
54 ions and use of observation-only admissions (Pearson correlation coefficient = 0.01) or discharge to
55                        Correlation analysis (Pearson correlation) was performed to analyse the associ
56 2) was used to perform correlation analysis (Pearson's coefficient) and the Mann-Whitney U test.
57     Bland-Altman 95% limits of agreement and Pearson correlation coefficients were calculated.
58                  T-tests, chi (2), ANOVA and Pearson Correlation tests were performed, with p < 0.05
59 egression for internal validation of BFV and Pearson correlation and Bland-Altman analysis for intero
60 Bonferroni-corrected pairwise comparison and Pearson correlation were used for statistical evaluation
61 in the range of 0.10-13.0 was confirmed, and Pearson correlation was observed at 0.995 (n = 50; 95% c
62  assess MMI station internal consistency and Pearson's moment correlation co-efficient to explore ass
63                          Yates corrected and Pearson chi(2) tests were used to evaluate categoric var
64        We used Spearman rank correlation and Pearson product moment correlation (r ) and descriptive
65 um test, Spearman rank order correlation and Pearson product moment correlation using SigmaStat softw
66 al comparisons between or within groups, and Pearson and Spearman rank correlation was used to compar
67                          The Cohen kappa and Pearson correlation coefficient R were used to determine
68 h was evaluated using the designed model and Pearson correlation between storage times with quality o
69 cy (mean unsigned error of 1.76 kcal/mol and Pearson correlation of 0.48); however, the reparametriza
70 nt (mean unsigned error of 0.81 kcal/mol and Pearson correlation of 0.75).
71 was calculated using a Bland-Altman plot and Pearson correlation coefficient (PCC).
72 ariable mixed effects linear regressions and Pearson correlations were performed using STATA14.
73                                 Spearman and Pearson tests on the correlations between intrinsic stab
74                 Second, through Spearman and Pearson tests we comprehensively investigate how differe
75                   Wilcoxon rank-sum test and Pearson correlation analyses were performed.
76 ta were analyzed with the Student t test and Pearson correlation.
77 g the Student t test, Fisher exact test, and Pearson correlation.
78 sts, concordance and Bland-Altman tests, and Pearson correlations were used to evaluate degeneration,
79  1-way analysis of variance, chi2 tests, and Pearson correlations.
80 al analysis of variance, post hoc Tukey, and Pearson correlation test.
81 n rank sum test for continuous variables and Pearson chi2 test or Fisher exact test for categorical v
82 ed statistically by analysis of variance and Pearson rank correlation test.
83 orrelated with annual temperature anomalies (Pearson correlation coefficient 0.882, p = 0.005).
84 tional and morphological parameters applying Pearson's correlation coefficient.
85 ds ratio estimates for incident IHD in ARIC (Pearson correlation [r]=0.62), indicating that the 2 IHD
86 elocity of the second palmar digital artery (Pearson coefficient: 0.621; p < 0.05).
87  of radiation on mutation rates estimated as Pearson's product-moment correlation coefficient was ver
88      Traditional association methods such as Pearson chi-square test and Fisher Exact test are single
89 ed rank tests and rank sum tests, as well as Pearson correlation analysis.
90 t tests and Mann-Whitney U tests, as well as Pearson r and Spearman rho for correlations.
91 rrelation with the spectrophotometric assay (Pearson's r 0.918-0.957) and was less influenced by haem
92                                  We assessed Pearson's correlation with a comprehensive measure for c
93 ich was correlated with hospital attendance (Pearson correlation coefficient [PCC] = 0.76).
94 .05) coinciding with loss of autoregulation (Pearson coefficient 0.19 --> 0.32, P < 0.05).
95 tion and quantification, yielding an average Pearson's correlation coefficient of 0.90 for IRC and of
96 elated with the thickness of the fluid band (Pearson product moment correlation, 0.39).
97 ng positive linear correlation with the BCM (Pearson r = 0.82).
98                                    Malig BJ, Pearson DL, Chang YB, Broadwin R, Basu R, Green RS, Ostr
99 rted compliance, and audits were analyzed by Pearson correlation.
100                        This was confirmed by Pearson's correlation matrices implying that lipid oxida
101 tinal vein occlusion (RVO) were evaluated by Pearson correlation and linear regression.
102 etween CRT findings and MPRI was examined by Pearson correlations, logistic regression, and sensitivi
103                         Biometricians led by Pearson agreed and developed statistical genetic approac
104       Statistical analyses were performed by Pearson's chi-squared test for categorical variables and
105 ompartments information, with the ranking by Pearson correlation coefficient (PCC) calculated from ge
106  with a two-sided Pvalue of .05 to calculate Pearson correlation coefficients and multiple regression
107 in rates were low overall (3.7% [95% Clopper Pearson confidence interval [CI]: 2.3%, 5.6%]) and did n
108 ral patency was evaluated by using a Clopper-Pearson exact binomial test.
109 se rates and their two-sided 90% CI (Clopper-Pearson method) were provided.
110      By using binomial distribution, Clopper-Pearson confidence intervals (CIs) were calculated for o
111 ence intervals (CIs) were estimated (Clopper-Pearson method).
112 eter maneuver was estimated with the Clopper-Pearson method.
113 ich 95% CIs were calculated with the Clopper-Pearson method.
114 e to changes in total protein concentration (Pearson r = -0.69; p < 0.0001).
115  variance (ANOVA), Holm-Bonferroni corrected Pearson correlations, multivariate regression modeling,
116  group, many indices were highly correlated (Pearson correlation coefficient |r| >/= 0.80), making it
117 tures of each dataset are highly correlated (Pearson's correlation coefficient, r approximately 0.75-
118 e rate of disturbance was highly correlated (Pearson's r = 0.96) with mining activity.
119 ir residential address is highly correlated (Pearson's R of 0.9).
120 nd ACE levels were significantly correlated (Pearson correlation coefficient, 0.205; P = .001, 2-side
121 grey matter atrophy are strongly correlated (Pearson's R = -0.69, P < 1 x 10(-7)), and significant gr
122  situ measurements were strongly correlated (Pearson's r = 0.61-0.74, all P < 0.01).
123 SA level 24 hours after PAE were correlated (Pearson r = 0.64, P = .014).
124 d with those derived from FD by correlation (Pearson), regression (Passing-Bablok), deviation (Bland-
125 ' FEV1 % values were tested for correlation (Pearson) to questionnaire-based estimates of health.
126 logical exposure was tested for correlation (Pearson) to the FEV1 % values.
127  fibroids had a strong negative correlation (Pearson's r=-0.68 or beyond) between collagen and methyl
128  detected had a strong positive correlation (Pearson) with fractional area change and cardiac output
129                                Correlations (Pearson r) between imaging data and clinical scores (Exp
130                                Correlations (Pearson r) were computed to evaluate associations betwee
131 etter than random, with modest correlations (Pearson's r < 0.28), consistent with complex trait genom
132                    Significant correlations (Pearson's, alpha = 0.05) between congener-specific conce
133 X, Chen Z, Soria CS, He H, Wang G, Caruso D, Pearson C, Biswal S, Zuckerman B, Wills-Karp M, Wang X.
134 superior accuracy when using disparate data (Pearson correlation of 0.91).
135 y were closely correlated with cone density (Pearson r: 0.72 and 0.70, respectively, P < .01).
136 ely correlated with high population density (Pearson's r 0.52, 95% CI 0.34-0.66).
137  and 1.25% LCA were significantly dependent (Pearson chi(2), P = .006 and P = .026).
138 ed colonies show no significant differences (Pearson Coefficient) in terms of their biological featur
139 capacity of lung for carbon monoxide [Dlco], Pearson r = -0.45, P = .003), SGRQ score (Pearson r = 0.
140 Fe-tCDTA Pearson R, 0.99; P = .0003; Fe-DTPA Pearson R, 0.97; P = .003).
141 lated to the degree of J-ST point elevation (Pearson R, 0.81; P<0.001).
142 cipitation and temperature, with elevation (|Pearson r| > 0.986), so the effects of these climatic va
143 ompared to the basic RHIPE in the Euclidean, Pearson and Spearman correlations.
144                                Fisher exact, Pearson chi(2), and Student t tests were applied as indi
145 cally validated ELISA resulting in excellent Pearson and intraclass correlation coefficient of 0.998
146 orbent assay (ELISA), resulting in excellent Pearson correlation and intraclass correlation coefficie
147  or discharge to a skilled nursing facility (Pearson correlation coefficient = 0.05).
148 ssociations between (11)C-PiB and (18)F-FDG (Pearson's r = 0.16 +/- 0.09, P < 0.001) and (18)F-AV1451
149  -0.69, P < .001; percentage predicted FEV1, Pearson r = -0.67, P < .001; diffusing capacity of lung
150 ve findings and/or histopathologic findings (Pearson correlation coefficient [r] and Cohen kappa coef
151 gnificantly with global cerebral blood flow (Pearson r = 0.70, p < 0.01).
152 ar correlation with the alpha-cell fraction (Pearson r = -0.76).
153 1 second [FEV1]/forced vital capacity [FVC], Pearson r = -0.69, P < .001; percentage predicted FEV1,
154 gnificantly correlated with H2O2 generation (Pearson's r = 0.91), no correlation was observed between
155  and AMFM measurements was moderate for GGR (Pearson's correlation r = 0.60, P < 0.0001; mean differe
156 ETN63C8/MA-ETN61C1-HRP ELISA revealed a good Pearson's r (+0.974) but a poor intraclass correlation c
157            For (3), "genetic only" model has Pearson's correlation of 0.15 to predict progression in
158 -out data showed low levels of bias and high Pearson correlation coefficients for calcification (-0.0
159 oposed topological approach has a 84% higher Pearson correlation coefficient than the current state-o
160  and correlated negatively with ECFC homing (Pearson r = -0.6930, P = 0.0002).
161  (HRM) and showed high concordance with HRM (Pearson correlation is 0.92).
162                                           In Pearson correlation analysis of the development cohort,
163                Statistical methods including Pearson's correlation, linear regression, and relative i
164  correlated with biomarkers of inflammation (Pearson's r >/= 0.37) and predicted all-cause mortality
165  because the predictors are intercorrelated (Pearson's r > 0.5).
166 d strong, significant ROI-based intersubject Pearson correlations with R1,DED/R1,PiB and with (18)F-F
167 from Luanda, the later the date of invasion (Pearson's r 0.60, 95% CI 0.52-0.66).
168                    In this issue of the JCI, Pearson et al. describe 25,270 MHC class I-associated pe
169 127, p < 0.001) and directly with %LTL<3 kb (Pearson's r = 0.085; p = 0.001).
170 uditory Verbal Learning Test-Total Learning (Pearson r = 0.33; P = .02), respectively.
171 : health, education, and standard of living (Pearson correlation of 0.84-0.86).
172 omen, age was inversely associated with LTL (Pearson's r = -0.127, p < 0.001) and directly with %LTL<
173  PET correlated significantly with net MATV (Pearson r = 0.65, P = 0.0001) and net TLA (r = 0.60, P =
174 dicted and actual tumor burden measurements (Pearson r = 0.5658, P < 0.0001).
175 MAF correlated with volumetric measurements (Pearson r = 0.59, p < 0.001), and this correlation impro
176  correlation with conventional ELISA method (Pearson's r = 0.987).
177 ificant correlation between the two methods (Pearson's correlation coefficient 0.978 (p < 0.001), R S
178  that it can accurately predict methylation (Pearson's correlation coefficient r = 0.79) for the majo
179 P < .001), and distance walked in 6 minutes (Pearson r = -0.47, P = .002).
180 o year with excess cardiovascular mortality (Pearson correlation coefficients >/=0.75, P </= .05 for
181 atios for the 2 programs was nonsignificant (Pearson product moment correlation, rho = 0.4465; P = .0
182  and in girls, a weak association was noted (Pearson's correlation coefficient, 0.34; 95% CI, 0.20-0.
183 tion between age and BMI Z-scores was noted (Pearson's correlation coefficient, 0.50; 95% confidence
184  to obtain reliable statistical inference of Pearson's chi-square test for the [Formula: see text] co
185          Thereafter, several models based on Pearson correlation coefficients were calculated.
186                         An approach based on Pearson's coefficient analysis was developed to collecti
187 thin-hospital correlation across operations (Pearson rho: intestinal-hysterectomy = 0.50, intestinal-
188 class correlation coefficients, 0.86-0.99 or Pearson product moment correlation coefficient = 0.96).
189 l consistency (Spearman's rank-order, rs, or Pearson's correlation coefficients, rp), and coefficient
190 essed by using the Wilcoxon rank sum test or Pearson chi(2) test prior to matching and by using condi
191 d in terms of temporary or chronic outcomes (Pearson's r 0.981 [0.973-0.987]).
192 the manual microscopy counts with an overall Pearson correlation of 0.96 across the three sample type
193 013, results were highly correlated overall (Pearson's r 0.992 [95% uncertainty interval 0.989-0.994]
194  compare different lung function parameters, Pearson correlation coefficient and Fisher z transformat
195                        We calculated partial Pearson correlations between 617 metabolites and 55 food
196                              We used partial Pearson correlations and linear regression to identify s
197 , P < 0.001) and (18)F-AV1451 and (11)C-PiB (Pearson's r = 0.18 +/- 0.09, P < 0.001).
198 rsely correlated with total amyloid plaques (Pearson r = -0.48; P < .01) and tangles (Pearson r = -0.
199 els after cART interruption in vaccinees (r [Pearson's correlation coefficient] = -0.69, P = 0.002, a
200 igen levels and tumor-to-liver volume ratio (Pearson correlation coefficients, 0.105 and 0.113, respe
201 ults were evaluated using linear regression, Pearson correlation, Cohen kappa measurement, coefficien
202 AL (r = 0.9651 and r = 0.9613, respectively, Pearson correlation).
203 ncipal component analysis weighting schemes (Pearson correlation coefficient, r=0.98).
204 with the Mattis Dementia Rating Scale score (Pearson r = 0.50; P = .03) and inversely correlated with
205 ], Pearson r = -0.45, P = .003), SGRQ score (Pearson r = 0.67, P < .001), and distance walked in 6 mi
206 elation was validated in the validation set (Pearson correlation values of 0.36 and 0.44; P < .01).
207                      At the optimal setting, Pearson correlation coefficients were calculated to asse
208 ng general linear modeling, and side-to-side Pearson correlation coefficients were calculated.
209 the "burstiness" of approximately 20 Hz SM1 (Pearson r approximately 0.65) and peripheral fluctuation
210 a well for the cooling portion of the spray (Pearson correlation coefficient R >/= 0.994), but the su
211 s: mutual information, chi-square statistic, Pearson correlation, and one conservation metric: joint
212  SUV) + (2 x SD) correlated best with STBHP (Pearson rho = 0.68; P < 0.001; mean difference +/- SD, 1
213 ut not with the response to the 5/99 strain (Pearson's correlation,-0.06; P=0.43).
214 ed with the response to the 44/76-SL strain (Pearson's correlation,0.64; P<0.001) but not with the re
215 for precuneus, P < 0.0001) than with SUVRCB (Pearson r: from 0.51 for temporal lobe [P = 0.002] to 0.
216            VT correlated better with SUVRWM (Pearson r: from 0.63 for posterior cingulate to 0.89 for
217 Results were analyzed with cross tabulation, Pearson chi(2) test, and Mann-Whitney U test.
218 e and were compared by means of a one-tailed Pearson correlation test.
219                                   Two-tailed Pearson correlation analysis was performed to determine
220 es (Pearson r = -0.48; P < .01) and tangles (Pearson r = -0.55; P = .01) in the brain.
221 rved for gadopentetate dimeglumine (Fe-tCDTA Pearson R, 0.99; P = .0003; Fe-DTPA Pearson R, 0.97; P =
222 ith the Stroop Color-Word Interference Test (Pearson r = 0.58; P < .01) and the Auditory Verbal Learn
223  was performed with the t test, chi(2) test, Pearson correlation coefficient, and receiver operating
224 rmed by using the Wilcoxon signed-rank test, Pearson correlation coefficient, and Bland-Altman analys
225                              Wilcoxon tests, Pearson correlation coefficients, and linear regressions
226                      Globally, we found that Pearson's correlation is greater than 0.6 between effect
227                                          The Pearson correlation (r) of zone diameters was strongest
228                                          The Pearson Correlation and Bland-Altman analysis were perfo
229                                          The Pearson correlation coefficient (PCC) between predicted
230                                          The Pearson correlation coefficient between experimental dat
231                                          The Pearson correlation coefficient between the two techniqu
232                                          The Pearson correlation coefficient was 0.99 at the state le
233                                          The Pearson correlations between the ACQ and other asthma qu
234                                          The Pearson linear correlation coefficient was used to asses
235                                          The Pearson product moment correlation coefficient was calcu
236 rformed by using nonparametric tests and the Pearson correlation coefficient.
237 nd moderate for voriconazole (0.60), and the Pearson correlation of MICs was strongest for fluconazol
238  second retention times of two blobs and the Pearson's correlation coefficient of the two mass spectr
239 ffinity prediction models by calculating the Pearson correlation between predicted and experimental b
240    Tracking was assessed with the use of the Pearson correlation coefficient, and multivariate linear
241 re log-transformed before calculation of the Pearson correlation coefficients.
242 cal significance was determined by using the Pearson chi(2) test and was expressed as odds ratios and
243      Upstaging rates were compared using the Pearson chi(2) test.
244 ematoma expansion were assessed by using the Pearson chi(2) test.
245         Correlation was determined using the Pearson coefficient (r) for SUV and size and the Spearma
246 tatistical analyses were performed using the Pearson correlation and Student's t test.
247  a male sex hormone, testosterone, using the Pearson correlation coefficient (PCC) analysis.
248 I) and other prognostic factors by using the Pearson correlation coefficient (r).
249 bserver's scores was calculated by using the Pearson correlation coefficient (r).
250 nd depth of target was assessed by using the Pearson correlation coefficient.
251  values were negatively correlated using the Pearson correlation coefficient.
252 ere studied in multiple tissues by using the Pearson correlation.
253 expression, which is mostly detected via the Pearson correlation coefficient, has played an important
254 hin each participant, were assessed with the Pearson correlation coefficient r.
255 e test scores, and time to recovery with the Pearson correlation coefficient.
256 elow -950 HU (RA-950) were assessed with the Pearson correlation coefficient.
257  test for mean, and the correlation with the Pearson correlation coefficient.
258 e test scores, and time to recovery with the Pearson correlation coefficient.
259 ons among parameters were evaluated with the Pearson correlation coefficient.
260 btained by both methods and compared through Pearson's correlation, linear Bayesian regression, and t
261 proximation improved with increasing time tl Pearson r exceeded 0.95 for a tl of 96 h or more in all
262 n time alignments, accurate mass tolerances, Pearson's correlation analysis, and peak height similari
263 aw score of the Sarcoidosis Assessment Tool (Pearson product moment correlation, 0.56 [0.01-0.85]).
264                                  Traditional Pearson correlation analysis treating the observed data
265  VT in the orbitofrontal cortex (uncorrected Pearson correlation r = 0.62; P = .005).
266 n between (18)F-AV1451 and (18)F-FDG uptake (Pearson's r = -0.49 +/- 0.07, P < 0.001) and less pronou
267 n HealthLNK in comparison with MESA, we used Pearson correlation coefficients and Bland-Altman plots.
268                                        Using Pearson's correlation coefficient, serum creatinine-to-s
269                     Data were analysed using Pearson chi(2), the Mann-Whitney U test, and binary logi
270 and eosinophil counts were assessed by using Pearson correlation analysis.
271 aclass correlation coefficients and by using Pearson correlation analysis.
272  CTDI(vol) and D(eff) as variables, by using Pearson correlation coefficients and P values to determi
273 parameters were correlated with age by using Pearson correlation coefficients.
274 ween density estimates was assessed by using Pearson correlation, linear regression, and Bland-Altman
275                  Data were analyzed by using Pearson correlation, linear regression, and nonlinear re
276  cross validation with ICA networks by using Pearson correlation.
277 arameter associations were assessed by using Pearson or Spearman correlation coefficient.
278                     Data were compared using Pearson's correlation coefficient and Bland-Altman plots
279  function measured by echocardiography using Pearson's correlation.
280 f their similarity of gene expression, using Pearson's correlation coefficient (CC).
281  Comparison of sCA and dCA parameters (using Pearson's r for continuous and Spearman's rho for ordina
282 (18)F-FDG uptake values, respectively, using Pearson correlations and regression analyses.
283 ences in proportions between subgroups using Pearson's chi(2) test.
284 died, 54-88% of the spatiotemporal variance (Pearson R(2) from cross-validation) was captured, with o
285  correlation with fibrosis measured ex vivo (Pearson r = 0.9038 and Spearman rho = 0.8107 [P = .0002
286  with the change in LV end-diastolic volume (Pearson's rho of 0.64, 0.59, and 0.66, respectively; P=0
287                                 The weighted Pearson correlation coefficient was calculated for hospi
288                                    Pair-wise Pearson's and polychoric correlations were calculated an
289 oth reducing and scavenging activities, with Pearson's coefficient of 0.90 and 0.91, respectively.
290                      Data were analysed with Pearson correlation (Excel, version 2010) and binary log
291     Categorical variables were analyzed with Pearson chi(2) tests or Fisher exact tests, while contin
292 rs, bacteria, and calcium were analyzed with Pearson correlation in a multiple regression model.
293 urveillance and VTE rates were assessed with Pearson correlation coefficients, and the postdischarge
294 binocular visual function were assessed with Pearson's correlations (r), as was the relationship betw
295 mitochondrial gene deletions consistent with Pearson marrow-pancreas syndrome (PS).
296  with normal distribution was evaluated with Pearson's correlation coefficient and Spearman's rho.
297 ical nerve conduction velocities (NCVs) with Pearson correlation analysis.
298 sion model corrected for overdispersion with Pearson chi(2) that included terms for treatment group,
299 9.9% after 6 months and 91.7% after 3 years (Pearson's correlation: 0.91).
300 l results and available measurements yielded Pearson correlation coefficients (R) >/= 0.8 at >/= 5 si

WebLSDに未収録の専門用語(用法)は "新規対訳" から投稿できます。
 
Page Top