Result was entered into an excel spread sheet and was represented as means and standard deviation for numerical data and number (percentage) for categorical data. We used GraphPad Instant 3 (demo version free software for statistical analysis, GraphPad Software Inc. California, USA) for statistical calculation. Groups were compared for difference in mean statistical significance by Student’s unpaired t test. Chi square test was used to test significant difference of qualitative VPT distribution and odds risk was derived for positive outcome with confidence interval of 95%. Predictors of VPT (dependent parameter) were calculated by multiple linear regressions applied on independent parameters. For each test, significance was accepted at P value < 0.05.
Instant 3
Manufactured by GraphPad
Sourced in United States
Instant 3.10 is a software application developed by GraphPad for data analysis and visualization. It provides tools for creating graphs, performing statistical analyses, and managing data. The software is designed to be user-friendly and intuitive, allowing researchers and scientists to efficiently analyze their data.
Automatically generated - may contain errors
Lab products found in correlation
11 protocols using instant 3
1
Vibration Perception Threshold Analysis
2
Triplicate Experiments with GraphPad Analysis
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All the experiments were carried out in triplicates and the results were represented as respective average values±Standard deviation. Data were analyzed using Graph pad Instant-3 software (Graph Pad Software Inc., USA).
3
Statistical Analysis of Experimental Data
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Statistical analyses were performed by GraphPad Instant Tm program on Windows(TM) (GraphPad Instant 3, GraphPad Software, Inc, CA, USA). Data were expressed as means ± standard deviation (SD) of the numbers of determinations. To compare the different treatments, statistical significance was calculated by Mann-Whitney Utest and one-way analysis of variance followed by the Tukey's multiple comparison tests. P < 0.05 was considered to indicate a statistically significant difference.
4
Statistical Analysis of Experimental Data
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All experimental data are reported as mean and the error bars represent the standard deviation (±SD) of triplicate samples. Statistical analysis was performed using Instant 3.10 software (GraphPad). P values were calculated using the Student’s t test. For comparisons among two groups or more, treatment groups were compared to the control group using a one-way analysis of variance with Bonferroni adjustment for multiple comparisons.
5
Statistical Methods for Patient Survival Analysis
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Data are represented as mean ± standard deviation (SD) unless otherwise noted. Statistical analyses were performed using Instant 3.10 software (GraphPad). P-values were calculated using Student’s t-test, except for comparisons between more than two groups, in which case treatment groups were compared to the control group using one-way ANOVA with Bonferroni adjustment for multiple comparisons.
For analyses of patient data, continuous values are expressed as mean ± standard deviation and analysed using Student’s t-test; categorical variables were analysed using χ2 or Fisher’s exact test. Overall survival curves were plotted using the Kaplan–Meier methods and compared by the log-rank test. Cox proportional hazards regression modelling was used to examine the relationship between CDK5RAP3, CD44 and Snail expression and survival while controlling for confounding covariates. Analyses were performed using IBM SPSS software for Windows version 21 (IBM). A p-value less than 0.05 was considered statistically significant.
For analyses of patient data, continuous values are expressed as mean ± standard deviation and analysed using Student’s t-test; categorical variables were analysed using χ2 or Fisher’s exact test. Overall survival curves were plotted using the Kaplan–Meier methods and compared by the log-rank test. Cox proportional hazards regression modelling was used to examine the relationship between CDK5RAP3, CD44 and Snail expression and survival while controlling for confounding covariates. Analyses were performed using IBM SPSS software for Windows version 21 (IBM). A p-value less than 0.05 was considered statistically significant.
6
Statistical Analysis Methods for Biomedical Research
7
Comparative Statistical Analysis of Research Data
8
Rac1 Activity and Survival Analysis
9
Animal Ovulation Analyses
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Statistical analyses were performed using GraphPad InStant 3. The number of ova shed by ovulating animals was analyzed using a Kruskal-Wallis test, followed by a Mann-Whitney U-test. Ovulation rate (i.e., the numbers of ovulating animals/the numbers of used animals) was analyzed using a Fisher’s exact probability test. The fluorescence data and the serum concentration of progesterone, testosterone and oestradiol were analyzed with a two-tailed Student’s t test for comparing the results of two groups. A p-value of less than 0.05 was considered significant.
10
Ovulation and Hormonal Serum Analysis
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The statistical analyses were performed using GraphPad Instant 3. The ovulation rates (i.e., the numbers of ovulating animals/the numbers of treated animals) were analysed using Fisher’s exact probability or Chi-square tests. Data regarding the numbers of ova shed were analysed using Kruskal–Wallis tests followed by a Mann–Whitney U tests. The hormonal serum level results were analysed using analysis of variance (ANOVA) followed by Tukey’s tests. When two means were compared, we used Student’s t-tests. P-values below 0.05 were considered statistically significant.
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