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Expert statview

Manufactured by SAS Institute
Sourced in United States

Expert StatView is a statistical analysis software developed by SAS Institute. It provides a range of tools for data exploration, visualization, and statistical modeling. The software offers functionality for tasks such as data management, descriptive statistics, and various statistical tests.

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25 protocols using expert statview

1

Survival Analysis of Clinical Factors

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The relationships between 2 groups and numerical values were analyzed using Mann-Whitney U-tests. The relationships among more than 3 variables and numerical values were analyzed using the Bonferroni-adjusted Mann-Whitney U-test. A multivariate Cox proportional hazards model was used to establish independent factors for overall survival. Survival analysis was carried out using the Kaplan–Meier method and log-rank tests. The Kaplan–Meier method and log-rank test were performed using JMP software (version 12, SAS Institute Inc., Cary, NC, USA); all other analyses were performed using Expert StatView (version 5, SAS Institute Inc.).
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2

Survival analysis of miR-221 and miR-222

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The relationships between two groups and the numerical values obtained by RT–qPCR were analysed using Mann–Whitney U-tests. Spearman's rank test was used to evaluate the correlations between the expression of miR-221 and miR-222. The relationships among more than three variables and numerical values were analysed using the Bonferroni-adjusted Mann–Whitney U-test. Survival analysis was evaluated by the Kaplan–Meier method and log-rank test. A multivariate Cox proportional hazards model was used to establish independent factors for survival. The Kaplan–Meier method and log-rank test were performed using Stat Mate software (version 4.01, ATMS Co., Tokyo, Japan); all other analyses were performed using Expert StatView (version 5, SAS Institute Inc., Cary, NC, USA).
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3

Analyzing miR-10a-5p and SKA1 Correlation

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Relationships between two groups and the numerical values obtained by qRT‐PCR were analyzed using Mann‐Whitney U‐tests and paired t‐tests. Spearman's rank test was used to evaluate the correlation between the expression levels of miR‐10a‐5p and SKA1. Relationships among more than three variables and numerical values were analyzed using Bonferroni‐adjusted Mann‐Whitney U‐tests. Survival analysis was carried out using the Kaplan–Meier method and log‐rank tests with JMP software (version 13; SAS Institute Inc., Cary, NC, USA); all other analyses were carried out using Expert StatView (version 5; SAS Institute Inc.).
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4

Correlation of miR-145 isoforms

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The relationships between 2 groups and the numerical values obtained by RT-qPCR were analysed using Mann-Whitney U-tests. Spearman's rank test was used to evaluate the correlations between the expression of miR-145-5p and miR-145-3p. The relationships among more than 3 variables and numerical values were analysed using the Bonferroni-adjusted Mann-Whitney U-test. Survival analysis was analysed by the Kaplan-Meier method and log-rank test, using Stat Mate software (version 4.01, ATMS Co., Tokyo, Japan). All other analyses were performed using Expert StatView (version 5, SAS Institute Inc., Cary, NC, USA).
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5

Survival Analysis of miRNA Expression

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The relationships between 2 groups and the numerical values obtained by RT-qPCR were analysed using Mann-Whitney U-tests. Spearman’s rank test was used to evaluate the correlations between the expression of miRNAs or genes. The relationships among more than 3 variables and numerical values were analysed using Bonferroni-adjusted Mann-Whitney U-tests. A multivariate Cox proportional hazards model was used to establish independent factors for disease-free survival. Survival analysis was carried out using the Kaplan–Meier method and log-rank tests with JMP software (version 12, SAS Institute Inc., Cary, NC, USA); all other analyses were performed using Expert StatView (version 5, SAS Institute Inc.).
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6

Analyzing miRNA and Gene Relationships

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The relationships between the two groups and the numerical values obtained by real-time RT-PCR were analyzed using the Mann-Whitney U-test. The relationships among the three variables and numerical values were analyzed using the Bonferroni-adjusted Mann-Whitney U test. Spearman's rank test was used to evaluate the correlations between the expression of (miR-26a and LOXL2), (miR-26a and PLOD2), (miR-26b and LOXL2) and (miR-26b and PLOD2). All analyses were performed using Expert StatView (version 5; SAS Institute, Inc., Cary, NC, USA).
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7

Comparative Analysis of Numerical Data

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The relationships between 2 groups and the numerical values obtained by RT-PCR were analyzed using Mann-Whitney U tests. The relationships among more than three variables and numerical values were analyzed using Bonferroni-adjusted Mann-Whitney U tests. All analyses were performed using Expert StatView (version 5; SAS Institute Inc., Cary, NC, USA).
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8

Statistical Analysis Methods in Research

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Mann–Whitney U tests were applied for comparisons between two groups. For multiple groups, one‐way analysis of variance and Tukey tests for post‐hoc analysis were applied. These analyses were performed with graphpad prism 7 (GraphPad Software, La Jolla, CA, USA) and jmp pro 14 (SAS Institute Inc., Cary, NC, USA). For other analyses, expert statview (version 5, SAS Institute, Inc.) was used.
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9

Correlation Analysis of miR-451a Expression

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The relationships between two groups and the numerical values obtained by real-time PCR were analysed using the paired t-test. Spearman's rank test was used to evaluate the correlation between the expression of miR-451a and target genes. The relationship among more than three variables and numerical values were analysed using the Bonferroni adjusted Mann–Whitney U-test. All analyses were performed using Expert Stat View (version 4, SAS Institute Inc., Cary, NC, USA).
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10

Survival Analysis of PDAC Patients

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Comparisons between groups were assessed using the Mann-Whitney U test or one-way analysis of variance followed by Tukey’s multiple comparison test. Differences in survival rates were determined by Kaplan-Meier survival analysis and log-rank test. The Z-scores of target genes mRNA expression data and clinical sample information corresponding to PDAC patients were collected from cBioPortal. R2: Genomics Analysis and Visualization Platform (http://r2.amc.nl) was used to create a heatmap. Furthermore, Z-score was evaluated by a combination of each genes sets. High group (mRNA Z-score > 0) and low group (mRNA Z-score ≤ 0) were analyzed by Kaplan–Meier survival curves and log-rank statistics. The analyses were conducted using Expert StatView version 5.0 (SAS Institute, Inc., Cary, NC, USA) and GraphPad Prism version 7.04 (GraphPad Software, Inc., La Jolla, CA, USA).
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