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Instat software version 3

Manufactured by GraphPad
Sourced in United States

InStat software version 3 is a data analysis tool designed for researchers and scientists. It provides a range of statistical functions and capabilities to analyze various types of data. The software is suitable for use across different fields and disciplines.

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22 protocols using instat software version 3

1

Statistical Analysis of Experimental Data

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Statistical analyses were performed using InStat software Version 3.05 (GraphPad Software, Inc., La Jolla, CA, USA). The Student’s t-test was performed for statistical comparison between groups. Value of p < 0.05 was regarded as statistically significant.
GraphPad Prism Version 5.0 (GraphPad Software, Inc., La Jolla, CA, USA) software was used to generate graphs.
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2

Statistical Analysis of Biological Replicates

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Statistical analyses were performed using InStat software Version 3.05 (GraphPad Software, Inc., La Jolla, CA, USA). Data are represented as mean ± SD of at least three independent biological replicates. The student’s t-test was performed for statistical comparison between groups. Value of p < 0.05 was regarded as statistically significant.
GraphPad Prism Version 5.0 (GraphPad Software, Inc., La Jolla, CA, USA) software was used to generate graphs.
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3

Postoperative Vestibular Function Analysis

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Paired, one-sided t-tests were performed to analyze the differences in VOR gains between day 0 (preoperative) and the first test after surgery (done on or between POD 2 and 4) and differences in mean saccade latencies between POD 2–4 and POD 5–7. We took aggregate time points for comparison in order to obtain complete data sets from all patients on those days. A P-value of <0.05 was considered significant. Descriptive statistics were used to measure VOR gain and saccade latencies. Statistical analysis was performed using InStat software version 3.05 (GraphPad Software Inc., La Jolla, CA, USA).
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4

Statistical Analysis of Enzymatic Assays

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InStat software version 3.05 (GraphPad, San Diego, CA, USA) was used to analyze the data. The significant differences between the two samples in the PO activity and OfPPO expression assays were analyzed using a t test. One-way analysis of variance and Tukey’s multiple comparisons were used to analyze caste- and tissue-specific gene expression and RNA interference assays. A p value < 0.05 indicated a significant difference. For the survival assay, GraphPad Prism version 8.0.2 (GraphPad Software, San Diego, CA, USA) was used to analyze the data according to the log-rank (Mantel–Cox) test.
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5

Genetic Variant Analysis Protocol

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Allele and genotype frequencies were evaluated by gene count, using an online statistical analysis tool for the evaluation of SNPs (https://www.snpstats.net/start.htm, last access: 25 November 2022). The data were tested for goodness of fit between observed and expected genotype frequencies, according to Hardy-Weinberg equilibrium, by Pearson’s distribution and χ2 tests. Significant differences in allele, homozygous, and heterozygous genotype distributions among groups were calculated using Fisher’s exact test (adjusted for age and gender). Multiple logistic regression models were applied, using dominant (major allele homozygotes versus heterozygotes plus minor allele homozygotes) and recessive (major allele homozygotes plus heterozygotes versus minor allele homozygotes) models. Odds ratios (OR), 95% confidence intervals (95% C.I.), and p values (p-value cutoff < 0.05) were determined using GraphPad InStat software version 3.06 (GraphPad, San Diego, California, USA) and the above-mentioned online statistical analysis tool.
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6

Genetic Variant Analysis in SNP Evaluation

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Allele and genotype frequencies were evaluated by gene count, using an online statistical analysis tool applied to the evaluation of SNPs (https://www.snpstats.net/start.htm, last access on 30 September 2022). Data were tested for goodness of fit between observed and expected genotype frequencies according to Hardy-Weinberg equilibrium, by Pearson’s distribution and χ2 tests. Significant differences in allele, homozygous and heterozygous genotype distributions among groups were calculated by using Fisher’s exact test (adjusted by age and sex). Multiple logistic regression models were applied using dominant (major allele homozygotes versus heterozygotes plus minor allele homozygotes) and recessive (major allele homozygotes plus heterozygotes versus minor allele homozygotes) models. Odds ratios (OR), 95% confidence intervals (95% C.I.) and p values (p-value cutoff < 0.05) were determined using GraphPad InStat software version 3.06 (GraphPad, San Diego, CA, USA) and the abovementioned online statistical analysis tool. Haplotype frequency estimation (frequency threshold for rare haplotype: 0.01) and haplotype association with response estimation functions at https://www.snpstats.net/start.htm (last access on 30 September 2022) were applied to search for comparison of haplotype frequencies between patient and control groups at the IL-1 gene cluster.
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7

Myopia Progression Statistical Analysis

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The statistical analysis of myopia progression for each group during the year before the study was performed using the Statistical Package for the Social Sciences software 25.0 (SPSS Inc., Chicago, Illinois, USA) with one-way analysis of variance tests.
Statistical analysis comparing the treatment groups and myopic progression after treatment cessation were performed by Tukey-Kramer multiple comparisons test and Bonferroni multiple comparisons test, respectively, using the InStat software version 3.0 (GraphPad Software Inc., San Diego, CA). The statistical analysis of A + CL group VA was performed using the Statistical Package for the Social Sciences software 25.0 (SPSS Inc., Chicago, Illinois, USA) with two-tailed hypothesis tests.
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8

Corneal Cytokine Profile Modulation

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All tests were carried out on four independent cell cultures, derived from four different cornea donors, and performed in triplicates for each of the treatments. The levels of the cytokines protein contents and mRNA expression were calculated as a ratio relative to medium. Statistical analysis and multiple comparisons were performed by one-way ANOVA using the InStat software version 3.0 (GraphPad Software Inc, San Diego, CA, USA).
The median effective concentration (EC 50) of RV-D1 was calculated with sigmoid Emax model. The pharmacokinetic modeling was performed using WinNonlin® 6.2 software (Pharsight Corporation, USA).
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9

Statistical Analysis of Experimental Data

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Statistical significance was calculated using two-tailed Fisher’s exact test, an ordinary analysis of variance, and InStat software version 3.0 (GraphPad, Los Angeles, CA, USA). A two-sided p value of <0.05 was considered to indicate statistical significance.
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10

Effect of ALA on Nitrite Secretion and NOS-2 Expression

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All tests were carried out on three independent cell cultures, and performed in triplicate for each of the treatments. In the experiments of the effect of ALA on nitrite secretion in HCF and effect of ALA on NOS-2 mRNA expression tests, we carried out the tests on four independent cell cultures, and performed triplicates for each of the treatments.
Statistical analysis and multiple comparisons were performed by one-way ANOVA using the InStat software version 3.0 (InStat software Inc., Graphpad, San Diego, CA). The differences in mean values among treatment groups were determined by ANOVA adjusted for multiple comparison by the Tukey test, ANOVA adjusted for multiple comparison by the Student-Newman-Keuls test, and ANOVA with multiple comparison by the Bonferroni t-test.
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