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Expert statview software

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Expert StatView software is a comprehensive data analysis and visualization tool developed by SAS Institute. It provides users with a wide range of statistical analysis capabilities, including descriptive statistics, regression analysis, ANOVA, and more. The software is designed to help researchers, scientists, and data analysts effectively analyze and interpret their data.

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Lab products found in correlation

Jmp pro 13, by SAS Institute (2 mentions) Jmp software, by SAS Institute (1 mentions)

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StatView (706 citations) StatView software (237 citations) Expert StatView (25 citations)

14 protocols using expert statview software

1

Evaluating miR-26a/b and TMEM184B Expression

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The relationship 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-26a/b and TMEM184B. Relationships among more than three variables and numerical values were analysed using the Bonferroni-adjusted Mann-Whitney U-test. All analyses were performed using Expert StatView software (Version 4; SAS Institute, Cary, NC, USA).
Fukumoto I., Hanazawa T., Kinoshita T., Kikkawa N., Koshizuka K., Goto Y., Nishikawa R., Chiyomaru T., Enokida H., Nakagawa M., Okamoto Y, & Seki N. (2015). MicroRNA expression signature of oral squamous cell carcinoma: functional role of microRNA-26a/b in the modulation of novel cancer pathways. British Journal of Cancer, 112(5), 891-900.
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2

Comparative Analysis of Two Groups

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The relationships between two groups and the numerical values obtained by real-time RT-PCR were analyzed using the paired t-test. The relationship among three variables and numerical values was analyzed using the Bonferroni-adjusted Mann–Whitney U-test. All analyses were performed using Expert StatView software (version 4; SAS Institute, Cary, NC, USA).
Nishikawa R., Goto Y., Sakamoto S., Chiyomaru T., Enokida H., Kojima S., Kinoshita T., Yamamoto N., Nakagawa M., Naya Y., Ichikawa T, & Seki N. (2014). Tumor-suppressive microRNA-218 inhibits cancer cell migration and invasion via targeting of LASP1 in prostate cancer. Cancer Science, 105(7), 802-811.
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3

Statistical Analysis of Experimental Data

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Data are presented as means ± standard deviation of at least 3 independent experiments. The relationships between two groups were analyzed using Mann-Whitney U tests. The relationships between three or more variables and numerical values were analyzed using Bonferroni-adjusted Mann-Whitney U tests. All analyses were performed with Expert StatView software version 5.0 (SAS Institute, Inc., Cary, NC, USA). When P < 0.05, the data were accepted as showing a statistically significant difference.
Tsuruda M., Yoshino H., Okamura S., Kuroshima K., Osako Y., Sakaguchi T., Sugita S., Tatarano S., Nakagawa M, & Enokida H. (2020). Oncogenic effects of RAB27B through exosome independent function in renal cell carcinoma including sunitinib-resistant. PLoS ONE, 15(5), e0232545.
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4

Evaluating miR-145 Expression and Survival

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Relationships between two or three variables and numerical values were analyzed using Mann-Whitney U tests or Bonferroni-adjusted Mann-Whitney U tests. Spearman's rank tests were used to evaluate the correlations between the expression of miR-145-3p or miR-145-5p and target genes. Expert StatView software (version 5.0; SAS Institute Inc., Cary, NC, USA) was used for these analyses. Multivariate Cox proportional hazard regression models were used to determine independent factors for survival with JMP Pro 13.
Yamada Y., Koshizuka K., Hanazawa T., Kikkawa N., Okato A., Idichi T., Arai T., Sugawara S., Katada K., Okamoto Y, & Seki N. (2017). Passenger strand of miR-145-3p acts as a tumor-suppressor by targeting MYO1B in head and neck squamous cell carcinoma. International Journal of Oncology, 52(1), 166-178.
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5

Relationship Analysis of miRNA Expression

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Relationships between expression values in 2 conditions or variables were analysed using the Mann-Whitney U test or Bonferroni-adjusted Mann-Whitney U test. Spearman's rank test was used to evaluate the correlations between the expression of miR-150-5p or miR-150-3p and target genes. We used Expert StatView software (version 5.0 SAS Institute Inc., Cary, NC, USA) for these analyses.
Koshizuka K., Nohata N., Hanazawa T., Kikkawa N., Arai T., Okato A., Fukumoto I., Katada K., Okamoto Y, & Seki N. (2017). Deep sequencing-based microRNA expression signatures in head and neck squamous cell carcinoma: dual strands of pre-miR-150 as antitumor miRNAs. Oncotarget, 8(18), 30288-30304.
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6

Analyzing miRNA Expression and Survival

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The relationships between the two groups and expression values obtained by RT-PCR were analyzed using Mann–Whitney u-tests. The correlations between miR-149-5p and miR-149-3p expression were evaluated using Spearman’s rank test. The 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 12, SAS Institute Inc., Cary, NC, USA). Other analyses were performed using Expert StatView software (version 5.0, SAS Institute Inc., Cary, NC, USA) for these analyses.
Okato A., Arai T., Yamada Y., Sugawara S., Koshizuka K., Fujimura L., Kurozumi A., Kato M., Kojima S., Naya Y., Ichikawa T, & Seki N. (2017). Dual Strands of Pre-miR-149 Inhibit Cancer Cell Migration and Invasion through Targeting FOXM1 in Renal Cell Carcinoma. International Journal of Molecular Sciences, 18(9), 1969.
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7

Survival Analysis of Breast Cancer

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Relationships among two or three variables and numerical values were analysed using the Mann-Whitney U test or Bonferroni-adjusted Mann-Whitney U test. Spearman's rank test was used to evaluate the correlation among the expressions of miR-145-5p, miR-145-3p, and UHRF1. We estimated cause specific survival of 57 BC patients by using the Kaplan-Meier method. Among the 69 BC patients, 12 died of other causes. Therefore, we analyzed cause specific survival of 57 BC patients. Patients were divided into two groups according to the median value of UHRF1 expression, and the differences between the two groups were evaluated by the log-rank tests. We used Expert Stat View software, version 5.0 (SAS Institute Inc., Cary, NC, USA), for these analyses.
Matsushita R., Yoshino H., Enokida H., Goto Y., Miyamoto K., Yonemori M., Inoguchi S., Nakagawa M, & Seki N. (2016). Regulation of UHRF1 by dual-strand tumor-suppressor microRNA-145 (miR-145-5p and miR-145-3p): inhibition of bladder cancer cell aggressiveness. Oncotarget, 7(19), 28460-28487.
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8

Exploring Prognostic Factors with Statistical Analysis

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Relationships between 2 or 3 variables and numerical values were analyzed with Mann‐Whitney U tests or Bonferroni‐adjusted Mann‐Whitney U‐tests. Spearman's rank tests were used to analyze the correlations of the expressions. Expert StatView software (version 5.0; SAS Institute, Cary, NC, USA) was used for these analyses. Univariate and multivariate Cox proportional hazard regression models were used to determine prognostic factors with JMP Pro 13 (SAS Institute Inc., Cary, NC, USA).
Yamada Y., Arai T., Kojima S., Sugawara S., Kato M., Okato A., Yamazaki K., Naya Y., Ichikawa T, & Seki N. (2018). Regulation of antitumor miR‐144‐5p targets oncogenes: Direct regulation of syndecan‐3 and its clinical significance. Cancer Science, 109(9), 2919-2936.
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9

Evaluating miR-375 and ZFP36L2 Correlations

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Using expression values and the Mann–Whitney U‐test or Bonferroni‐adjusted Mann–Whitney U‐test, relationships between two conditions or variables were analyzed. The correlation between expression of miR‐375 and ZFP36L2 was evaluated using Spearman's rank test. Associations between different categories were assessed using Fisher's exact test and the χ2‐test. Overall survival (OS) after surgery was gauged using Kaplan–Meier curves. Patients were divided into two groups based on ZFP36L2 expression, and differences in survival were estimated using the log‐rank test. Univariate and multivariate analyses were performed using the proportional hazards model. We used Expert StatView software (version 5.0 SAS Institute, Cary, NC, USA) for these analyses.
Yonemori K., Seki N., Kurahara H., Osako Y., Idichi T., Arai T., Koshizuka K., Kita Y., Maemura K, & Natsugoe S. (2017). ZFP36L2 promotes cancer cell aggressiveness and is regulated by antitumor microRNA‐375 in pancreatic ductal adenocarcinoma. Cancer Science, 108(1), 124-135.
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10

Evaluating miR-216b-3p and FOXQ1 Expression

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Relationships between expression values in 2 conditions or variables were analysed using the Mann-Whitney U test, and relationships between expression values in 3 conditions or variables were analysed using Bonferroni-adjusted Mann-Whitney U test. The correlation between the expression levels of miR-216b-3p and FOXQ1 was evaluated using Spearman's rank test. Associations between different categories were assessed using Fisher’s exact test and the chi-squared test. Overall survival (OS) after surgery was gauged using Kaplan–Meier curves. Patients were divided into two groups based on FOXQ1 expression, and differences in survival were estimated using the log-rank test. We used Expert StatView software (version 5.0 SAS Institute Inc., Cary, NC, USA) for these analyses.
Yonemori K., Seki N., Idichi T., Kurahara H., Osako Y., Koshizuka K., Arai T., Okato A., Kita Y., Arigami T., Mataki Y., Kijima Y., Maemura K, & Natsugoe S. (2017). The microRNA expression signature of pancreatic ductal adenocarcinoma by RNA sequencing: anti-tumour functions of the microRNA-216 cluster. Oncotarget, 8(41), 70097-70115.
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