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Sigmastat v3

Manufactured by IBM
Sourced in United States, Australia

SigmaStat v3.0 is a statistical analysis software package developed by IBM. It is designed to perform a wide range of statistical analyses on data, including descriptive statistics, hypothesis testing, regression analysis, and more. The software provides users with a user-friendly interface and a comprehensive set of statistical tools to assist in the analysis of scientific and research data.

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6 protocols using sigmastat v3

1

Comparison of Automated and Manual AVC Measurements

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All statistical and graphical analyses were performed using standard computer software (Microsoft Office Excel 2003, Microsoft Corporation, Redmond, WA; SigmaStat v3.5, SPSS Inc, Chicago, IL; GraphPad Prism v5.00 for Windows, GraphPad Software, San Diego California USA). The agreement between tAVCa and tAVCm was compared by paired t test and Bland-Altman statistics. The corresponding heart rates (HRAVCm and HRAVCa) were compared by paired t test. For segmental 2DST indices, 2-way repeated-measures analysis of variance was used to detect differences between segments and treatment (i.e., awake vs. anesthetized). When the F test indicated significant differences, all pairwise multiple comparisons were performed using the Holm-Sidak post hoc test. The effect of general anesthesia on averaged 2DST indices and on STIε was assessed by paired t tests, reporting the 95% confidence intervals for the difference of means. Validity of the normality assumption was confirmed by assessment of normal probability plots of the residuals. The level of significance was set at P=0.05.
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2

Toxicity Data Analysis Protocol

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Analysis was performed using commercial software (SigmaStat V3.5, SPSS, Chicago, IL). All toxicity data were analyzed using a one-way analysis of variance (ANOVA). To examine sex differences in the pharmacokinetic data we performed a paired t-test at each time point. Any data that were not normally distributed or did not display equal variance were logarithmically transformed so that those criteria were met. Statistical significance was set with an alpha value of p < 0.05. Data are presented as mean ± standard error of mean (SEM).
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3

Neonatal Cerebral Oxygen Dynamics

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All pressure and flow data were averaged over 10 s and analysed at selected time intervals before and after the vertical height of the lamb was altered, 1 and 2 min after ventilation onset and 5 min after UCC. The combined blood volume of the lamb and placenta before UCC and blood volume of the lamb following UCC was measured in each group using the biotin-labelled RBC technique13 (link)
14 (link) and compared using a one-way analysis of variance (ANOVA).
SpO2 (Masimo) and SctO2 (NIRS; Casmed) were used to calculate cerebral oxygen consumption and extraction as described previously.4 (link)
15 (link) Cerebral oxygen consumption (VO2 was calculated as: mean CBF×(SaO2−SctO2), where CBF is cerebral blood flow, measured from the carotid artery. Cerebral oxygen extraction was calculated as: SaO2−SctO2/SaO2.
All data were compared over time and between groups using either a two-way repeated measures ANOVA for postnatal physiological data, or Student’s t-test for fetal data (Sigmastat V.3.0, SPSS). Data are presented as mean±SEM. Statistical significance was accepted for p<0.05.
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4

Fetal Physiological Response to Cord Clamping

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Baseline fetal data were analyzed using a Student's t-test. Descriptive physiological data is presented as mean and standard deviation.
Blood gas measurements were taken from the right carotid arterial catheter prior to cord clamping, 15 s prior to ventilation, and at 5-min intervals from ventilation until the end of the experiment. The data collected were analyzed using two-way repeated measures of ANOVA with post hoc analysis (Holm–Sidak; Sigmastat v3.0, SPSS Inc.).
Physiological parameters were recorded using LabChart (ADInstruments, NSW, Australia) and analyzed offline. Ten heart beat averages were taken every 30 s from immediately prior to, during and following cord clamping, volume changes, and ventilation onset. Physiological data were analyzed using two-way repeated measures of ANOVA with post hoc analysis (Holm–Sidak). Statistical significance was accepted as p < 0.05.
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5

Transitional Physiology in Fetal Lambs

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Data are presented as mean ± SD. The sample size was calculated to be sufficient to detect a 30% alteration in transitional physiology (pulmonary and cerebral blood flows and pressures) using 2-way repeated measures ANOVA (power of 0.8 and p < 0.05) as demonstrated previously (9 (link)). This information has been added to the methods. Fetal data collected prior to intervention were compared using Students t-test. All subsequent physiological data were compared over time and between groups using a two-way repeated measures ANOVA with post hoc analysis (Holm-Sidak) determining the time that differences were evident (Sigmastat v3.0, SPSS Inc.). In ICC lambs time zero was set at cord clamping, while in PBCC time zero was set at initiation of ventilation. Statistical significance was accepted for p < 0.05.
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6

Fetal Physiological Data Analysis

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Fetal data collected prior to intervention were compared using Students t-test. Average values were obtained from recordings twenty seconds in duration obtained prior to the first intervention (either umbilical cord clamping or initiation of ventilation) and throughout the intervention and selected time points. All subsequent data were compared over time and between groups using a two-way repeated measures ANOVA for postnatal physiological data with post-hoc analysis (Holm-Sidak) determining the time that differences were evident (Sigmastat v3.0, SPSS Inc.). Data are presented as mean ± SEM unless otherwise stated. Statistical significance was accepted for p<0.05.
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