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1 Student attendance at clinical and tutorial-based activi
2 Student attendance is thought to be an important factor
3 Student body racial and ethnic diversity within US medic
4 Student body URM proportions were not associated with wh
5 Student dormitory rooms tended to have higher levels of
6 Student food selection data were collected daily from Ja
7 Student nurses cite unsatisfactory placement experiences
8 Student nurses' clinical assessment was divided into 3 t
9 Student paired t tests based on a logarithmic scale were
10 Student paired t-test confirmed a statistically signific
11 Student perceptions of antimicrobial coursework and actu
12 Student responses also suggest the labs were helpful in
13 Student self-report of whether he or she ever used e-cig
14 Student t and chi tests were used for univariate analysi
15 Student t test for continuous variables and contingency
16 Student t test statistics were applied to report signifi
17 Student t test was used for statistical analysis, with P
18 Student t test was used for the comparison of the FDs of
19 Student t test was used to compare attenuation and SNR m
20 Student t test was used to determine any demographic dif
21 Student t test, chi(2), and multiple logistic regression
22 Student t test, chi2 test, and multivariate regression a
23 Student t tests and chi(2) tests were performed to compa
24 Student t tests were performed to assess significance be
25 Student t tests were used to determine differences in rC
26 Student t tests were used to perform comparisons.
27 Student use of profanity (52%; 22/42), frankly discrimin
28 Student's t tests demonstrate significant differences (p
29 Student's t tests for equality of means were used to ass
30 Student's t-test and Ranking-PCA analyses were performed
31 Student's t-test was applied to compare vascular enhance
32 Student's t-test was used to determine statistical signi
33 Student's t-test, moderated t-tests, non-parametric test
34 Student's t-tests, chi(2) analyses, and linear and logis
35 Student's two-sample t test for normally distributed var
36 /-455 (mean+/-se wt vs. TSP1(-/-)); P<0.001, Student's t test] and impaired neuronal differentiation
38 men with BCRL, namely 24+/-19 mmHg (P=0.014, Student's unpaired t test), and correlated negatively wi
39 sing anti-Rho-SPION-Ran, eyedrops, P = 0.03, Student's t test), and gliosis in Muller cells (at 6 mo,
40 ed that changed at least 1.5 fold (p < 0.05, Student's t-test) in abundance between transgenic (tBN)
41 2 +/- 0.12, 0.82 +/- 0.11 and 0.84 +/- 0.10; Student's paired t-test, t = 2.79, P = 0.02; t = 2.80, P
43 - 1.61 days, Degrees of freedom (df) = 2960, Student's t (t) = 3.2 (P = .0014), and mean duration of
45 pplication of traditional methods, such as a Student's t-Test or a 2-way ANOVA, in these situations g
49 server performance was determined by using a Student t distribution; P values less than .05 indicated
51 us section orientations were analyzed with a Student t test for independent groups and a repeated-mea
53 nalysis was performed using chi(2) analysis, Student t test, Kaplan-Meier survival analysis with the
55 re made with a combined fold change >/=2 and Student's t-test p-value < 0.05 to denote significance;
57 t comparisons were analyzed using chi(2) and Student t tests, logistic regression (predictive), and g
60 for violations of Cochran's assumptions) and Student's t test for continuous variables (Mann-Whitney
63 lysis of variance, chi(2), Fisher exact, and Student t tests, as well as logistic regression and rece
66 for each age group in 1-year intervals, and Student t tests for unpaired data were performed to comp
69 ed estimating equation regression model, and Student t tests were used to obtain limits of agreement
84 ernational Society for Computational Biology Student Council (ISCB-SC) and its Regional Student Group
85 ernational Society for Computational Biology Student Council (ISCB-SC), Regional Student Groups (RSGs
90 test, and tumour number and area compared by Student's t-test in outwardly healthy mice at approximat
92 re compared between the 2 patient groups, by Student's t-test, chi-square analysis, and Mantel-Haensz
95 essed proteins (at least +/-1.5-fold change; Student's t test, P < 0.05) were identified by mass spec
100 score differences among cases and controls (Student t test) and the risk of developing MS comparing
102 mprehensive Assessment Test; and Exceptional Student Education placement owing to orthopedic, speech,
104 DE concentrations were significantly higher (Student's paired comparisons t test, alpha = 0.05) in se
107 collected by the Programme for International Student Assessment (PISA), including the mathematics and
108 nal Society for Computational Biology (ISCB) Student Council Regional Student Groups (RSGs) activitie
110 demographic comparisons with age were made (Student t test, Satterthwaite test), and proportion conf
111 actions with their schools' American Medical Student Association (AMSA) PharmFree Scorecard and avera
115 ealth School Physical Activity and Nutrition Student Questionnaire measured physical activity behavio
119 a were compared by using the Mann-Whitney or Student t test, and correlations were performed by using
126 fferences were analyzed by means of a paired Student t test and repeated two-way analysis of variance
139 en groups were performed by using the paired Student t test for continuous variables and the McNemar
148 metabolite levels were evaluated with paired Student t tests, cluster-based analyses, and multivariab
152 (2-tailed) was used to compare proportions, Student t test and Wilcoxon rank-sum test were used to c
154 y Student Council (ISCB-SC) and its Regional Student Group (RSG) program, takes time and energy.
155 Biology Student Council (ISCB-SC), Regional Student Groups (RSGs) have helped organise workshops in
156 le reviews events undertaken by the Regional Student Groups (RSGs) in India and Argentina, the proble
157 of Nephrology Foundation for Kidney Research Student Scholar Grant Program, Centers for Disease Contr
159 f three different feature selection schemas (Student t test, Wilcoxon rank sum test and genetic algor
160 and 30.8+/-1.7%, respectively [mean+/-SEM]; Student's unpaired t-test df=10, t=-1.357, p=0.453); thi
163 robability distributions, such as the skewed Student [Formula: see text] used here, when making forec
170 failure were compared by means of two-tailed Student t test, with differences considered significant
178 as performed by using the Fisher exact test, Student t test, and Wilcoxon signed-rank test, depending
180 cluded Fisher's exact test, chi-square test, Student's t-test, analysis of variance, and stepwise lin
183 hniques were compared by using paired tests (Student t test, Wilcoxon test, or McNemar test, accordin
196 tudies--the Human Microbiome Project and the Student Microbiome Project--we show that gut and mouth m
197 as determined with kappa statistics, and the Student t test was used to assess differences in the mea
204 wo-way analysis of variance, followed by the Student t test with post hoc Bonferroni correction.
213 ompared between cases and controls using the Student t and chi(2) tests and analysis of variance.
217 tistical analysis was performed by using the Student t test and one-way analysis of variance for the
218 ement differences were assessed by using the Student t test and the F test; P < .05 was considered to
220 ualitative scores were compared by using the Student t test for independent samples, and SNR profiles
221 ween the regimens were compared by using the Student t test for unpaired samples; for intraindividual
222 compared between animal cohorts by using the Student t test, and receiver operating characteristic (R
224 coronal diameters of the thorax by using the Student t test, Fisher exact test, and Pearson correlati
238 cant differences were evaluated by using the Student t, analysis of variance, Wilcoxon, and Tukey Hon
243 rmed using a 1-way analysis of variance, the Student t test, chi test, and Mann-Whitney test where ap
244 repeated measures analysis of variance, the Student t test, chi(2) test, and correlation analysis.
248 d myocardial fibrosis was evaluated with the Student t test and multivariable regression analysis.
250 Statistical analyses were performed with the Student t test for continuous bivariate comparisons, the
251 Statistical analysis was performed with the Student t test, analysis of variance, and Pearson correl
252 rences in mean DeltaR2* were tested with the Student t test, and diagnostic accuracy was tested by ca
253 Statistical analysis was performed with the Student t test, chi(2) analysis, and mixed-model analysi
254 istical significance was determined with the Student t test, the paired t test, a mixed random effect
260 in was upregulated in the monosomy 3 tumors (Student's t-test, P = 0.003 and P = 0.005, respectively)
263 ompared between the groups using an unpaired Student's t-test or an equivalent nonparametric test.
268 images were performed by using the unpaired Student t test for continuous variables and the chi(2) t
274 groups were statistically assessed by using Student t and chi(2) tests corrected for multiple compar
279 nd control cohorts, were identified by using Student two-tailed paired and unpaired t test, respectiv
282 Univariate analysis was completed using Student's t test, Wilcoxon rank-sum test, and analysis o
285 intragroup comparisons were performed using Student t test, and P <0.05 was considered statistically
286 sitive correlation ([0.18 correlation value] Student's t value [173 degrees of freedom] = 2.39; P = 0
287 itive correlation ([0.338 correlation value] Student's t value [173 degrees of freedom] = 4.69; P <0.
288 y (healthy group: [-0.23, correlation value] Student's t value [73 degrees of freedom] = 1.99; P = 0.
289 mal versus nonoptimal ACS care were made via Student t test for continuous variables and chi(2) test
290 ted and compared between the two studies via Student t tests for mean location, using a >5% cutoff fo
297 each legume group and the control group with Student's t test.Of the 355 infants enrolled, 291 infant
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