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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
51 2.9, p = 0.0003], and 0.70 for BNP plus MPO [chi-square test = 15.87, p = 0.0004]).
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
57         In a Cox proportional hazards model (chi-square test = 89.4) adjusting for baseline character
58  with high significance (P < 0.0001, Pearson chi-square test) an embryonically lethal phenotype of ho
59                                              Chi-square tests, ANCOVA, and multiple regression analys
60  group with similar injury grade (p < 0.005, chi square test and Student's t test).
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
64                                  We used the chi-square test and I to assess for statistical heteroge
65 ng the Mantel-Haenszel correlation statistic chi-square test and logistic regression.
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<
71                                              Chi-square tests and cox-regression was used to determin
72 onal psychotherapy were compared by means of chi-square tests and life table and random effects model
73 italopram and placebo were compared by using chi-square tests and linear modeling.
74                                              Chi-square tests and logistic regression analyses were u
75                  Results were analyzed using chi-square tests and logistic regression analysis.
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
79  providers were compared across groups using chi-squared tests and analysis of variance.
80                                              Chi-squared tests and multivariate Cox regression analys
81  CpG island methylator phenotype (p = 0.036, Chi square test), and resistant cell lines harbored meth
82 cluded analysis of variance, Mantel-Haenszel chi-square test, and logistic regression.
83  treatment thresholds were then assessed via chi-square tests, and associations between the decision
84 nopause were determined by Student's t test, chi-square tests, and Fisher's exact test.
85 nts with sepsis were compared using t tests, chi-square tests, and logistic regression; p values less
86                        Analysis of variance, chi-square tests, and proportional hazards models were u
87 ce of each component based on a conventional chi-squared test approach.
88 ociation with the PTPN22 SNP was analyzed by chi-square test as implemented in Stata software.
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
92            There was an association (P=0.04, chi-square test) between infusion type and positive find
93 ums compared MIC distributions by unit type; chi-square tests compared agents and antibiotic classes.
94 fferences between groups were performed with chi-square test, Fisher exact test, and t tests.
95           Statistical analysis, with Pearson chi-square tests, Fisher exact test, and multiple logist
96                                              Chi-square tests, Fisher exact tests, and multivariate l
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
100        Change over time was tested using the chi-square test for categorical, Wilcoxon test for non-p
101 aracteristic curve = 0.934) and calibration (chi-square test for goodness-of-fit = 9.31, p = 0.317) o
102                             A simple, better chi-square test for interference in two-factor crosses i
103 blished previously (prediction group) by the chi-square test for proportions.
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
106                                              Chi-square test for trend was used to detect changes in
107 exposure to secondhand smoke (P<0.001 by the chi-square test for trend) that was confirmed by a decre
108 4, 16% in 2005, and 21% in 2006 (P < 0.0001, chi-square test for trend).
109 004, 2005, and 2006, respectively (P = 0.04, chi-square test for trend).
110  1998 and to 0.5 percent in 1999 (P<0.001 by chi-square test for trend).
111  did those receiving placebo (P = .04 by the chi-square test for trend).
112  resuscitation events over time evaluated by chi-square test for trend.
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
118 ges sweetened with LCSs were tested by using chi-square tests for trend and F tests.
119 istical analyses were performed by Pearson's chi-squared test for categorical variables and student's
120 betes risks (Hosmer-Lemeshow goodness-of-fit chi-squared test for each model: P < 0.001).
121 etes induced a significant shift (P < 0.001, chi-squared test for trend) towards increased neuronal c
122 ired Student t tests for continuous data and chi-squared tests for categorical data.
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
125                Statistical analysis included chi-square tests, Kaplan-Meier survival curves, and Cox
126 rigin) and nontransmitted alleles (using the chi-square test of heterogeneity).
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
129 ategorical variables were compared using the chi-square test or Fisher exact test.
130 ere determined, and comparisons were made by chi-square test or t-test.
131 les between groups was analyzed by using the chi-square test or the Fisher's exact test, and p < .05
132 ll as perception of risk were analysed using Chi-square test or Univariate Fisher's exact test.
133 ither MOR1 mRNA (202/497 vs. 44/86, P > 0.2, chi-square test) or DOR1 mRNA (555/651 vs. 132/138, P >
134                                              Chi-square tests, ORs, and mixed-effects models were use
135 and 7.4%, respectively) than in adult (2.6%; chi-square test, P < 0.0001) patients.
136 as 91.0%, with significantly lower accuracy (chi-square test, P < 0.0001).
137  across studies in each resistance category (chi-squared test, p<0.00001, I(2) varied from 95% to 100
138 4% of eyes with PKP, and 8% of control eyes (chi-square test; P = 0.01).
139 s, 76% of PKP eyes, and 80% of control eyes (chi-square test; P = 0.41).
140          Sample proportions were compared by chi square test, quantitative variables with Student t t
141                                            A chi-square test rejects the null hypothesis that membran
142 rs were assessed using Wilcoxon rank sum and chi-square tests, respectively.
143 for cervical LCR or culture; Mantel-Haenszel chi-square test result, 8.58; P = 0.003).
144                                            A chi-square test showed fewer positive reactions for DBS
145 ng Student's t-test, Mann-Whitney U test, or chi-square test (significance, p < .05).
146 95]%, 'Scrambled' = 59 [42 to 95]%; Friedman Chi-squared test statistic 6.5, p = 0.04; visit 2 median
147 00]%, 'Scrambled' = 28 [13 to 63]%; Friedman Chi-squared test statistic 8.4, p= 0.02).
148                                              Chi-square test, Student's t test, and Cox regression we
149  Data analysis included Fisher's exact test, chi-square test, Student's t-test, analysis of variance,
150                                          The chi-square test, Student's t-test, and Mann-Whitney U-te
151     Statistical analysis was performed using chi-square test, t test, and analysis of variance.
152     Subsequent statistical analyses involved chi-square test, t test, and logistic regression modelin
153                                              Chi-square tests, t tests, and multiple regression were
154                                         With chi-square tests, the distribution of terminal digit for
155                                  We used the chi-square test to determine whether any of the studied
156 red before and after the policy change using chi-squared tests to identify potentially confounding co
157  for children with NI with a Mantel-Haenszel chi-square test using all 4 y of data combined.
158 xperienced greater mortality rates (p =.001, chi-square test using Fisher's exact method) and increas
159                                            A chi square test was used for statistical analysis.
160 for all continuous variables and the Pearson chi-square test was used for categorical variables.
161                                              Chi-square test was used for statistic analysis between
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
164                   In the Correlation step, a Chi-square test was used to select potential prognostic
165                                              Chi-squared test was conducted to discover which treatme
166             The other significant factor (by chi-square test) was the presence of the shared epitope
167                            Here, using a 2x3 chi-square test, we describe a relationship between geno
168                                              Chi square tests were carried out to test the associatio
169                             Mann-Whitney and Chi-square tests were conducted to evaluate significant
170             One-way analysis of variance and chi-square tests were used for statistical analysis.
171                                  T-tests and chi-square tests were used to determine if there were di
172                                              Chi-square tests were used to evaluate difference in per
173                                              Chi-square tests were used to examine differences from p
174 3% of cases and 7.2% of controls; P = 0.044, chi-square test) were more common in cases than in contr
175 ful strabismus surgery were analyzed using a chi-square test with an alpha of 0.05.
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

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