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381 protocols using sigmastat 3

1

Embryonic Development Protocol

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All experiments were completely randomized and repeated in triplicate. Specifically, embryos from three litters each group were analyzed as we previously described (8 (link)–10 (link)). For immunostaining, two to three embryos from each litter and four to five sections per embryo were stained, and an average for signal intensity was obtained for that litter. For immunoblotting, two to three embryos from a litter in each group were combined for a single run, and there were three runs per experiment. For RT-qPCR, two to three embryos per litter were combined, and three litters per group were analyzed. For cell culture studies, experiments were repeated in triplicate as we previously described (60 (link)). Data are presented as the means ± SEs. Student’s t test was used for two group comparisons. One-way analysis of variance (ANOVA) was performed for comparisons of more than two groups using SigmaStat 3.5 software. In ANOVA, a Tukey test was used to estimate the significance. Significant differences between groups in NTD incidence expressed by the number of embryos were analyzed by the chi-square test or Fisher’s exact test using SigmaStat 3.5 software. Differences were considered statistically significant when P < 0.05.
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2

Two-Way ANOVA and Holm-Sidak Analysis

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IBM SPSS Statistics 21 and Sigma Stat 3.5 were used for data analysis. Data were transferred to Sigma Stat 3.5 software and went through to two-way analysis of variance. In the cases where a significant difference was detected among groups, Holm-Sidak test was employed to determine which group was the source of difference.
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3

Statistical Analysis of Experimental Data

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Data are expressed as mean values ± the standard error of the mean (SEM) or box-whisker plots (created with SigmaStat 3.5: box = quartiles, whiskers = 10/90% percentiles). For statistical evaluation, data were first tested for normal distribution and equal variance (SigmaStat 3.5). Depending on this normality test, statistical comparisons were performed either using parametric (paired or unpaired t-test, ANOVA) or non-parametric tests (Mann–Whitney test) as indicated. The level of significance is indicated by asterisks (P < 0.05, ∗∗P < 0.01).
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4

Vascular Calcium Dynamics and Gene Expression Analysis

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Vessel diameter and Ca2+i responses with EGTA, nifedipine, and mibefradil vs. normal medium were analysed using ANOVA followed by the student–Newman–Keuls post hoc test in SigmaStat 3.1. Diameter and Ca2+i responses in Notch3−/− vs. wild-type and thapsigargin Ca2+i responses vs. normal medium were analysed using student’s t-test in SigmaStat 3.1. Gene expression was analysed using student’s t-test and Bonferroni’s correction. The genes were ordered after significance (Table A1), and the difference between the groups was expressed as Log2 fold-change (Log2FC). p < 0.05 was considered statistically significant. All values are expressed as means ± SEM.
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5

Metabolite Analysis of BRB Supplementation

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Paired t-tests were performed in R version 2.14.2 (21 ) to determine the statistical significance of metabolite mean differences between pre- and post-BRB supplementation. The False Discovery Rate (FDR) analysis was performed and q-value was calculated for each metabolite. For all analyses, missing values (if any) were imputed with the observed minimum for that particular compound (imputed values were added after block-normalization). The statistical analyses were performed on natural log-transformed data to reduce the effect of any potential outliers in the data. In addition, urine data was normalized to sample osmolality to compensate for differences in urine concentration. Pearson correlation and linear regression tests were performed using SigmaStat3.5 to determine the association between metabolites in post-BRB urine/plasma, and between metabolites and TUNEL in post-BRB tumors. Metabolites with both a p value <0.05 and a q value <0.05 were considered statistically significant.
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6

Predicting Serious Home Falls

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Descriptive statistics were generated for the medico-socioeconomic variables
(frequencies and percentages for qualitative variables, medians with 25% and 75%
percentiles for quantitative variables). We compared the UPSAV-ECOCAT and
HABITUAL groups using the Mann-Whitney U test for quantitative variables and
chi-square test for qualitative variables.
In a univariate logistic regression model, associations between explanatory
variables and the occurrence of serious falls at home were evaluated by odds
ratios (ORs) with 95% CIs. All significant variables were included in the
multivariate model, along with confounding variables. All statistical analyses
were performed using SigmaStat 3.5 software (SigmaStat, San Jose, CA, USA). The
significance level was set at p < 0.05.
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7

Lugol's Effect on Cardiac Contractility

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Data are given as population mean ± SEM from 8 hearts prior to Lugol exposure (Tyrode) and 7 hearts after Lugol exposure (Lugol) in contracting hearts or from 4 hearts in the optical mapping study. Statistical analysis was performed with Sigmastat 3.5. Following data normality testing, either the paired Student's t-test or the non-parametric equivalent, Wilcoxon signed rank test, was performed on paired data from 7 contracting hearts, using the mean of each parameter in each condition (Tyrode vs. Lugol). Statistical significance was taken as p < 0.05.
Alternative analysis where n was individual paired stretches (with the 1st 2nd and 3rd stretch in each Tyrode sequence paired with the equivalent Lugol stretch in each heart) resulted in the same statistical outcomes with respect to p < or >0.05.
For pressure and AP parameters the effects and possible interactions of stretch and Lugol exposure were tested by 2 way analysis of variance (2 way ANOVA) with balloon volume (stretch) and exposure to Lugol as the 2 factors. The parameter means from each heart in each condition were used. A result of p < 0.05 for either factor or factor interaction was followed by Holm-Sidak multiple pairwise comparision tests.
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8

Statistical Analysis of Composite Materials

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A two-way ANOVA test was used to determine the statistically significant differences in SBS surveying. The data of the flexural modulus and degree of conversion were statistically analyzed using one-way ANOVA and Tukey’s test. Such tests were performed after all data had passed a Shapiro-Wilk normality test (p > 0.05). Analyses were performed using SigmaStat 3.5 statistical software (Systat, San Jose, CA, USA). The level of significance was considered to be 5%.
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9

Serum Calcium and Phosphorus Levels

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The serum Ca and P levels were expressed as mean and standard deviation. Independent samples were analyzed by analysis of variance (ANOVA), followed by the multiple comparison Tukey test for symmetric distribution, adjusting general linear models with Gamma distribution, followed by the multiple comparison Wald test for asymmetric data. Pearson's correlation was performed between the Ca area under the curve (AUC) and the serum levels of 25-hydroxyvitamin D, and between the Ca AUC and the age of the women. All analyses were performed by the statistical applications SAS for Windows® version 9.3 and SigmaStat 3.5. The significance level was set at 5%.
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10

Ketamine Pharmacokinetics and Sedation

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The SigmaStat 3.5 (Point Richmond, CA, USA) software package was used to perform statistical evaluation and significance was reached at P = 0.05. Due to the small number of sampling, all the data are presented as median and IQR independently of their distribution.
Effect of time on PR and RR was tested with one way ANOVA test in RANK for repeated measures. Spearman rank order test was used to test: 1) correlations between quality of sedation, induction and recovery (score and VAS) in all horses (n = 28) and in the horses that did not receive any additional drug during the procedure (n = 20); 2) correlation between time at which clinical signs of lightening of anaesthesia appeared and duration of anaesthesia; 3) correlation between T_movement and predicted plasma concentrations of S-ketamine at T_movement in all horses that did not move before the end of surgery; 4) correlation between T_movement and the area under the curves of the predicted concentration of S-ketamine against time from 2 to 20 minutes (AUC S-k 2–20).
Differences of measured S-ketamine plasma concentrations at 2, 4, 8 minutes after administration between the horses receiving one or two boluses were tested by a 2 way-ANOVA test for repeated measures.
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