コーパス検索結果 (1語後でソート)
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 jects but not in any Caucasians (P = 0.0005, chi square test).
2 anti-CCP antibody-negative RA (P = 0.01, by chi-square test).
3 ees (26.8%) showed an increase (P < 0.001 by chi-square test).
4 can and 11% of Hispanic students (P = 0.001, chi-square test).
5 harbored predominantly serotype c (P = 0.05, chi-square test).
6 only 4% of tTA/TAg/ER-alpha mice (P = 0.014, chi-square test).
7 or DOR1 mRNA (555/651 vs. 132/138, P > 0.3, chi-square test).
8 nd Comp groups were significant (P < 0.0001, chi-square test).
9 than that expressing MOR1 mRNA (P < 0.0001, chi-square test).
10 ion (80% and 62.5%, respectively; p = 0.004, chi-square test).
11 e superior (rated as "excellent") (P < 0.05, chi-square test).
12 (18%) of 50 in the control group (p < 0.001, chi-square test).
13 onventional-ventilation group (P=0.85 by the chi-square test).
14 ons (53.0% vs 35.4%, respectively; P<0.0001, chi-square test).
15 ile were the same (p=0.007, likelihood ratio chi-square test).
16 nger counterparts (p<0.001, likelihood ratio chi-square test).
17 e points; 95% CI, -3.3 to 2.8; P=0.88 by the chi-square test).
18 e points; 95% CI, -3.0 to 6.7; P=0.45 by the chi-square test).
19 ce interval [CI], -4.0 to 5.6; P=0.75 by the chi-square test).
20 ezetimibe group (1% vs. 5%, P = 0.04 by the chi-square test).
21 All comparisons were analyzed by chi square test.
22 cate significant crossover interference in a chi-square test.
23 were analyzed by descriptive statistics and chi-square test.
24 by using the c statistic and Hosmer-Lemeshow chi-square test.
25 yzed using Fisher's exact test and Pearson's chi-square test.
26 ar regression, Wilcoxon's rank sum test, and chi-square test.
27 data was analyzed using the Fisher exact or chi-square test.
28 ties were compared using a two-way ANOVA and Chi-square test.
29 st, Mann-Whitney U test, or likelihood ratio chi-square test.
30 physical activity was assessed by using the Chi-square test.
31 with 1-way analysis of variance (ANOVA) and chi-square test.
32 Dosing methods were compared using McNemar's chi-square test.
33 y with sepsis volume level were evaluated by chi-square test.
34 yocardial infarction and were analyzed using chi square tests.
35 nonparticipants were examined by t-tests and chi-square tests.
36 Analyses included descriptive statistics and chi-square tests.
37 esults were compared using Fisher's exact or chi-square tests.
38 Statistical comparisons are made using chi-square tests.
39 e expected ratio of 1:2:1 by goodness-of-fit chi-square tests.
40 e cases were compared by using the Tukey and Chi-Square Tests.
41 awareness among clinicians were assessed by chi-square tests.
42 etween antibiotic prescription cohorts using chi-square tests.
43 We assessed for associations using chi-square tests.
44 en cases and controls was conducted by using chi-square tests.
45 valence was compared across FRS strata using chi-square tests.
46 lyzed using Cochran-Mantel-Haenszel tests or chi-square tests.
47 parent McKrae (6.1 versus 11.8%; P = 0.0025 [chi-square test]).
48 peptide (univariate and multivariable model chi-square test: 105.0 and 48.4; both p < 0.0001) and se
49 nts (area under the curve 0.66 for BNP only [chi-square test = 12.9, p = 0.0003], and 0.70 for BNP pl
50 ility provided significant additional value (chi-square test = 13.1, p = 0.004) to baseline predictor
52 York Heart Association functional class IV (chi-square test: 18.8 and 9.6; p < 0.0001 and p = 0.0020
53 ving less interventricular mechanical delay (chi-square test: 29.8 and 8.8; p < 0.0001 and p = 0.0029
54 ase as the cause of ventricular dysfunction (chi-square test: 34.9 and 7.4; p < 0.0001 and p = 0.0066
55 the FBF group, and 85.7% in the SF-M group (chi-square test = 4.13, P = 0.02; one-tailed test with t
56 .0001) and severity of mitral regurgitation (chi-square test: 44.0 and 17.9; both p < 0.0001) at 3 mo
58 with high significance (P < 0.0001, Pearson chi-square test) an embryonically lethal phenotype of ho
61 ion among certified nursing assistants using chi square tests and binomial logistic regression models
62 ditional association methods such as Pearson chi-square test and Fisher Exact test are single test me
63 Statistical analysis for rejection used the chi-square test and for graft survival used the log-rank
66 Statistical analyses performed included the chi-square test and multivariate regression analysis.
67 Data were analyzed with unpaired t-tests, Chi-square test and Receiver Operating Characteristic (R
68 istinguished NSAID treatment from placebo by chi-square test and that had a placebo response rate of
69 ional logistic regression analysis using the chi-square test and the Cox proportional hazards model.
70 0-44 and 45-59).The data were analyzed using Chi-square test and the significance level was set as p<
72 onal psychotherapy were compared by means of chi-square tests and life table and random effects model
76 ogical characteristics of the patients using chi-square tests and multivariate logistic regression an
77 tellite polymorphisms was investigated using chi-square tests and multivariate logistic regression an
78 ared response rates by treatment group using chi-square tests and multivariate logistic regression mo
81 CpG island methylator phenotype (p = 0.036, Chi square test), and resistant cell lines harbored meth
83 treatment thresholds were then assessed via chi-square tests, and associations between the decision
85 nts with sepsis were compared using t tests, chi-square tests, and logistic regression; p values less
89 than 20 mmHg at CRVO presentation (P = 0.02, Chi-square test) as well as in the ischemic CRVO group c
90 cidence of death within 24 h was compared by chi-square test between Definity and unenhanced procedur
91 re were no significant associations (P>0.05, chi-square test) between catheter type, side of catheter
93 ums compared MIC distributions by unit type; chi-square tests compared agents and antibiotic classes.
97 AC for each micronutrient tertile by using a chi-square test for binary variables and analysis of var
98 ntal finding, performed Fisher exact test or chi-square test for categorical variables between the co
99 nk sum test for nonnormally distributed, and Chi-square test for categorical variables were used in u
101 aracteristic curve = 0.934) and calibration (chi-square test for goodness-of-fit = 9.31, p = 0.317) o
104 reliable statistical inference of Pearson's chi-square test for the [Formula: see text] contingency
105 re 8%, 12% and 20%, respectively (two-tailed chi-square test for trend 5.61, p = 0.02, OR 0.34 for co
107 exposure to secondhand smoke (P<0.001 by the chi-square test for trend) that was confirmed by a decre
113 increased significantly with age (P = 0.001 [chi-square test for trend]) in women with a family histo
114 mple t test to compare continuous variables, chi-square testing for categorical comparisons, and the
115 ceiving A2 or A2B kidneys was performed with chi-square testing for categorical variables (Fisher's e
116 en male and female SCA cases using Pearson's chi-square tests for categorical variables, t tests for
117 =717) income were compared using t tests and chi-square tests for continuous and categorical variable
119 istical analyses were performed by Pearson's chi-squared test for categorical variables and student's
121 etes induced a significant shift (P < 0.001, chi-squared test for trend) towards increased neuronal c
123 first describe the flaws of the traditional (chi-squared) tests for both allelic and genotypic homoge
124 (P > 0.38 by Cox proportional hazards and by chi-square test) in the 66 high-dose patients (8 develop
127 more powerful in simulations than either the chi-square test of independence or the Kolmogorov-Smirno
128 compared via independent samples t tests and chi-square tests of factor scores, syndrome scores, and
131 les between groups was analyzed by using the chi-square test or the Fisher's exact test, and p < .05
133 ither MOR1 mRNA (202/497 vs. 44/86, P > 0.2, chi-square test) or DOR1 mRNA (555/651 vs. 132/138, P >
137 across studies in each resistance category (chi-squared test, p<0.00001, I(2) varied from 95% to 100
146 95]%, 'Scrambled' = 59 [42 to 95]%; Friedman Chi-squared test statistic 6.5, p = 0.04; visit 2 median
149 Data analysis included Fisher's exact test, chi-square test, Student's t-test, analysis of variance,
152 Subsequent statistical analyses involved chi-square test, t test, and logistic regression modelin
156 red before and after the policy change using chi-squared tests to identify potentially confounding co
158 xperienced greater mortality rates (p =.001, chi-square test using Fisher's exact method) and increas
160 for all continuous variables and the Pearson chi-square test was used for categorical variables.
162 survival and surgeon experience, the Pearson chi-square test was used to compare visual acuities, and
163 ffected sibling was available, the unmatched chi-square test was used to determine if a meiotic segre
174 3% of cases and 7.2% of controls; P = 0.044, chi-square test) were more common in cases than in contr
176 introduced for continuous data: a continuous chi-square test with test statistic T(CCS) and a test ba
177 at the simple association method such as the chi-square test yields a large number of false positives
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。