For statistical analysis JMP® Statistical Discovery Software, version 15.1.0 (Cary, NC: SAS Institute Inc.; 1989) was used. ANOVA and multivariate regression analysis were applied with a significance level of α < 0.05. Classification and regression tree analysis (CART) was done to define optimal dichotomous cut offs for the variables age and the expression of MIB1 and COX2. The study was approved by the Clinical Ethics Committee of the University of Tübingen (Project number: 336/2017BO2).
Jmp statistical discovery software version 15
Manufactured by SAS Institute
Sourced in United States
JMP® Statistical Discovery Software, version 15.1.0, is a data analysis and visualization software tool developed by SAS Institute. It provides a range of statistical and analytical capabilities to support data exploration, modeling, and decision-making.
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Lab products found in correlation
4 protocols using jmp statistical discovery software version 15
1
Survival Analysis of Tumor Markers
2
Statistical Analysis of Experimental Data
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Statistical analysis was done with JMP® Statistical Discovery Software, version 15.1.0 (Cary, NC, USA: SAS Institute Inc.; 1989). An analysis of variance was done as well as multivariate linear logistic regression analysis. A significance level of α < 0.05 was applied.
3
Assessing Sleep Apnea Prevalence in Primary Care
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Questionnaires: Demographic data were analyzed descriptively as frequencies and percentages. Continuously scaled measures were summarized by means, standard deviations, medians, and ranges. The OSAKA questionnaire was used to determine providers’ OSA knowledge, importance, and confidence. Provider responses to OSA knowledge items were analyzed for correctness. This dataset was analyzed with SPSS Windows version 28 (SPSS Inc., Chicago, IL, USA).
Electronic Medical Record: This analysis was completed in collaboration with West Virginia University Office of Health Affairs who have an agreement with the FQHCs to use the EMR data source for approved research projects. This partnership provides WVU faculty access to anonymized data. Record-level claims data from 2021 were aggregated at the individual level to assess the overall prevalence of sleep apnea among adult patients at the FQHC. We calculated the prevalence of OSA diagnoses by dividing the number of patients with a sleep apnea ICD-10 code by the number of unique patient encounters during the study timeframe. Descriptive statistics provided details on age, sex, race, and ethnicity for patients with an OSA diagnosis. JMP Statistical Discovery Software version 15 was used for this analysis (SAS Inc, Cary, NC, USA).
Electronic Medical Record: This analysis was completed in collaboration with West Virginia University Office of Health Affairs who have an agreement with the FQHCs to use the EMR data source for approved research projects. This partnership provides WVU faculty access to anonymized data. Record-level claims data from 2021 were aggregated at the individual level to assess the overall prevalence of sleep apnea among adult patients at the FQHC. We calculated the prevalence of OSA diagnoses by dividing the number of patients with a sleep apnea ICD-10 code by the number of unique patient encounters during the study timeframe. Descriptive statistics provided details on age, sex, race, and ethnicity for patients with an OSA diagnosis. JMP Statistical Discovery Software version 15 was used for this analysis (SAS Inc, Cary, NC, USA).
4
Quantifying Somatostatin Receptor Expression in Meningiomas
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To determine the expression of SSTR1–5 with regard to intensity and quantity, an intensity distribution score was applied as described by Barresi et al. [3 (link)] (Table 1 ) as meningiomas exhibit a similar receptor density as gastroenteropancreatic neuroendocrine tumors [30 (link)]. Microscopic assessment was done by two investigators, and in difficult cases, a rating consensus was reached between both investigators. Statistical analysis was done with JMP® Statistical Discovery Software, version 15.1.0 (Cary, NC: SAS Institute Inc.; 1989). The one-way ANOVA test was applied with a significance level of α < 0.05. A classification and regression tree (CART) analysis was done for the identification of age cutoffs regarding maximum differences in somatostatin expression for all 5 markers.
Grading of immunohistopositivity according to Barresi et al. [3 (link)]
| Intensity distribution score (ID) = IS × ASP | 0–12 |
|---|---|
| Immunostaining intensity (IS) | |
| Negative | 0 |
| Weak | 1 |
| Moderate | 2 |
| Strong | 3 |
| Area of staining positivity (ASP) | |
| < 5% | 0 |
| 5–25% | 1 |
| 26–50% | 2 |
| 51–75% | 3 |
| 76–100% | 4 |
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