Jmp pro 13

Manufactured by SAS Institute

Sourced in United States, Japan, United Kingdom, Belgium

JMP Pro 13 is a statistical software package developed by SAS Institute. It is designed to provide advanced data analysis and visualization capabilities for researchers, analysts, and scientists. The software offers a range of statistical tools, including regression analysis, multivariate techniques, and experimental design.

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Lab products found in correlation

Prism 7, by GraphPad (21 mentions) Sas 9, by SAS Institute (15 mentions) Prism 5, by GraphPad (11 mentions) Prism 8, by GraphPad (9 mentions) Prism 6, by GraphPad (9 mentions) Axiovert 200m microscope, by Zeiss (3 mentions) Alice2 for metabolome version 5, by JEOL (3 mentions) Spss statistics 23, by IBM (3 mentions) R version 3, by R Project for Statistical Computing (3 mentions) Proc mixed, by SAS Institute (2 mentions) Dmem f 12, by Nacalai Tesque (2 mentions) Sigmaplot 12, by Grafiti LLC (2 mentions) Spss version 17, by IBM (2 mentions) Expert statview software, by SAS Institute (2 mentions) Taqman, by Thermo Fisher Scientific (1 mentions) Qiaamp dna blood mini kit, by Qiagen (1 mentions) Sigmaplot ver 12, by Grafiti LLC (1 mentions) Xcalibur 4, by Thermo Fisher Scientific (1 mentions) Proc glimmix, by SAS Institute (1 mentions) Sas system, by SAS Institute (1 mentions)

583 protocols using jmp pro 13

Thermal Analysis of Fatty Acid Stocks

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Differences in MT and enthalpy between individual FA stocks or supplements was analyzed using JMP Pro 13.1 (SAS Institute Inc., Cary, NC) using the following model:
where Y k represents the dependent variable of interest, µ is the overall mean, S k is the fixed effect of FA stock or supplement, and e k is the residual error. The PA, SA, and SA/PA blend supplements were compared using a protected least significant difference (LSD) separation. Comparison of the 11 FA stocks was conducted using a Tukey's test. A significant effect of stock was declared at P ≤ 0.05. Studentized residuals were used to check for outliers (outside ± 3.0), but no data points met criteria.
Differences in MT and enthalpy between the first and second thermal cycles was analyzed using the REML method in the fit model procedure of JMP Pro 13.1 (SAS Institute Inc.) using a protected LSD mean separation using the following model:
where Y jkl represents the dependent variable of interest, µ is the overall mean, R j is the random effect of replicate (j = 1 to 3), S k is the fixed effect of FA stock or supplement, T l is the fixed effect of thermal cycle (l = 1 or 2), and e jkl is the residual error.

Shepardson R.P., Bazilevskaya E.A, & Harvatine K.J. (2020). Physical characterization of fatty acid supplements with varying enrichments of palmitic and stearic acid by differential scanning calorimetry. Journal of dairy science, 103(10).

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Tissue Geometry Normalization Analysis

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For comparisons between tissues, normalization of tissue size was performed by dividing the data for each geometric parameter by its respective average 18 month value for each tissue. Normality of data sets was confirmed in JMP (JMP Pro 13, SAS Institute Inc., Cary, NC). Statistical analysis of each geometric parameter consisted of a two-way ANOVA with age and tissue type as major effects and a Bonferroni method to adjust for multiplicity and significance set at p≤0.05 (JMP Pro 13, SAS Institute Inc., Cary, NC). For these analyses, tissue type was considered a within-subject variable while age was considered a between-subject variable. Analysis of the log-log plots was accomplished by comparing the slope of the linear regression to the appropriate isometric value by an F-test by using the test statement in PROC REG Procedure (SAS 9.4, SAS Institute Inc., Cary, NC). The adjusted significance level for F-test comparisons was set at p≤0.001. Throughout the results section, data are presented as mean ± standard deviation, and 95% confidence intervals are available in the Supplemental Material.

Cone S.G., Piercy H.E., Lambeth E.P., Ru H., Piedrahita J.A., Spang J.T., Fordham L.A, & Fisher M.B. (2019). Tissue-specific changes in size and shape of the ligaments and tendons of the porcine knee during post-natal growth. PLoS ONE, 14(10), e0219637.

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Statistical Analysis of Biological Data

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Data are shown as mean ± SD or by box-and-whisker plots. Differences between the two groups were examined using a non-parametric Mann-Whitney test by a JMP Pro 13 (SAS Institute Inc., Cary, NC). Statistical comparisons between more than two groups were conducted using a Kruskal-Wallis test followed by the post-hoc Steel-Dwass test by a JMP Pro 13 (SAS Institute Inc.). We used above non-parametric tests in the present study because the sample size was not enough to assess whether the data sets were normally distributed or not by a Shapiro-Wilk test. The Jonckheere-Terpstra test was performed to confirm a dose-response relationship using an EZR software (Saitama Medical Center, Jichi Medical University, Saitama, Japan, http://www.jichi.ac.jp/saitama-sct/SaitamaHP.files/statmedEN.html) [18 (link)]. A p value smaller than 0.05 was defined as statistically significant.

Abekura Y., Ono I., Kawashima A., Takizawa K., Koseki H., Miyata H., Shimizu K., Oka M., Kushamae M., Miyamoto S., Kataoka H., Ishii A, & Aoki T. (2020). Eicosapentaenoic acid prevents the progression of intracranial aneurysms in rats. Journal of Neuroinflammation, 17, 129.

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Cadaver and In Vivo Validation of Bone Plates

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A paired t-test was used for comparisons between ROI-1 and ROI-2 in the SNR experiments, and Tukey-Kramer's honestly significant difference (HSD) test was used for comparisons between control and plates, with p < 0.01 regarded as significant (JMP® Pro 13, SAS Institute Inc., Cary, NC, USA).
In the cadaver study, percentage differences in values measured with and without the plates were calculated, and the rates when the entire circumference of the radius was measured were compared with those when only the dorsal third was isolated and measured. A mixed effects model was used for statistical analysis, with p < 0.01 regarded as significant (JMP® Pro 13, SAS Institute Inc., Cary, NC, USA).
In the in vivo precision study, reproducibility was evaluated using the root-mean-square coefficient of variation (RMS%CV) [8] . RMS%CV

Era M., Chiba K., Nishino Y., Okazaki N., Miyamoto T., Yonekura A., Tomita M., Tsurumoto T, & Osaki M. (2019). The effects of volar locking plates for distal radius fractures on the image quality of high-resolution peripheral quantitative computed tomography. Bone, 127.

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Prognostic Significance of Body Composition Metrics in Oncology

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Continuous variables are expressed as the means ± standard deviation or median (interquartile range [IQR]). Patients were categorized into high and low groups according to the median values of VATA, SATA, VSR, and BMI. We compared patients' characteristics, ORR, and survival between the high and low groups. We used chi‐square test or Fisher's exact test for comparisons of categorical variables. PFS and OS curves were constructed using the Kaplan–Meier method. Comparisons of PFS and OS were examined using the log‐rank test. Multivariable analysis of PFS and OS was conducted with Cox proportional hazard model and the results are expressed as hazard ratios (HRs) with 95% confidence intervals (CIs). Models were planned to adjust for age (< 65 or ≥65), performance status (0 or ≥1), stage (I/II or III/IV), histological type (serous/endometrioid or others), previous chemotherapy regimens (≤2 or >2), and platinum status (refractory or resistant). Statistical significance was defined as p < 0.05. Statistical analysis was performed using JMP Pro 13 software (JMP Pro 13, SAS Institute).

Yoshida H, & Fujiwara K. (2023). Adipose tissue area is a predictive biomarker for the efficacy of pegylated liposomal doxorubicin in platinum‐refractory/resistant ovarian cancer. Cancer Medicine, 12(13), 14196-14206.

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Statistical Analysis of Biological Data

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Data are presented as means ± standard error of mean (SEM). Statistical analyses were conducted using the Student’s t-test. For multiple comparisons, the p-values were adjusted by the Holm’s method for Fig. 4d by using the Microsoft Office Excel 2011 (BellCurve, Tokyo, Japan), and the p-values were calculated by the Dunnett’s test for Fig. 5c by using the JMP Pro 13 (SAS Institute Inc., NC, USA). Other statistical analyses were conducted using JMP Pro 13 (SAS Institute Inc.). A value of p < 0.05 was considered significant. Asterisks indicate comparisons that were significantly different (p < 0.05). The p-value in microarray analysis was corrected for multiple hypotheses testing using the false discovery rate (FDR) method. Survival was assessed using the log-rank test of the Kaplan-Meier method.

Ogishima J., Taguchi A., Kawata A., Kawana K., Yoshida M., Yoshimatsu Y., Sato M., Nakamura H., Kawata Y., Nishijima A., Fujimoto A., Tomio K., Adachi K., Nagamatsu T., Oda K., Kiyono T., Osuga Y, & Fujii T. (2018). The oncogene KRAS promotes cancer cell dissemination by stabilizing spheroid formation via the MEK pathway. BMC Cancer, 18, 1201.

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Fasciculation Intensity and Frequency Analysis

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Data for fasciculation intensity are presented as median (inter-quartile range). To analyze side differences in fasciculation intensity and frequency, Wilcoxon signed rank test and Fisher's exact test were performed respectively. Factors which affect fasciculation intensity and frequencies were analyzed, utilizing univariate and multivariate correlation analyses. If factors fulfilled |R| > 0.2 and p < 0.1 in univariate analyses, those factors were subsequently included into multivariate analyses. A p-value < 0.05 was judged as statistically significant in these analyses. In correlation analyses, both |R| > 0.2 and p < 0.05 was evaluated as significant correlation. JMP Pro 13.2.0 (SAS Institute) was used in those procedures.

Suzuki Y.I., Shibuya K., Misawa S., Suichi T., Tsuneyama A., Kojima Y., Nakamura K., Kano H., Prado M, & Kuwabara S. (2022). Fasciculation intensity and limb dominance in amyotrophic lateral sclerosis: a muscle ultrasonographic study. BMC Neurology, 22, 85.

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Statistical Analysis of Experimental Data

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All analyses were performed using JMP Pro13.2.0 (SAS Institute Inc., NC, U.S.A.), and p < 0.05 was considered significant.

Toriumi S., Kobayashi A., Sueki H., Yamamoto M, & Uesawa Y. (2021). Exploring the Mechanisms Underlying Drug-Induced Fractures Using the Japanese Adverse Drug Event Reporting Database. Pharmaceuticals, 14(12), 1299.

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Prognostic Value of BALF for 1-Year Mortality

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The primary outcome was 1-year mortality. The primary analysis included the generation of an area under the receiver operating characteristic curve (ROC-AUC) to evaluate the prognostic value of BALF for 1-year mortality. The optimal cut-off value was calculated using the Youden index. The secondary analysis included a Cox regression to test significant effects on hazard of death over 1-year. We chose this approach to adjust for baseline imbalances in variables, including PaO₂/FiO₂ ratio and ILD, based on previous reports [14 (link)]. The Cox regression analysis was repeated in ILD and non-ILD subgroups. The secondary outcome variables were 90-day mortality and days alive and free of ventilator out of 28 days (VFD). Data are expressed as median and interquartile range. Baseline characteristics were analyzed using Fisher’s exact test or Mann–Whitney U test. Two-tailed p values <0.05 were considered as significant. All analyses were performed using JMP pro 13.2.0 (SAS Institute Inc. Cary, NC, USA).

Hirasawa Y., Nakada T.A., Shimazui T., Abe M., Isaka Y., Sakayori M., Suzuki K., Yoshioka K., Kawasaki T., Terada J., Tsushima K, & Tatsumi K. (2021). Prognostic value of lymphocyte counts in bronchoalveolar lavage fluid in patients with acute respiratory failure: a retrospective cohort study. Journal of Intensive Care, 9, 21.

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Survival Analysis of Patient Cohorts

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Statistical analyses were performed using JMP^® Pro 13.2.0 (SAS Institute Inc., Cary, NC, USA). Patient characteristics were compared using the Mann-Whitney U test and χ²-test. The survival rates were determined using the Kaplan-Meier method and compared with the log-rank test. A Cox proportional hazards model was performed to determine the statistical significance of prognostic indicators in a multivariate setting. Differences were considered statistically significant when the p value was < 0.05.

Matsuzaki K., Fujita K., Hayashi Y., Matsushita M., Nojima S., Jingushi K., Kato T., Kawashima A., Ujike T., Nagahara A., Uemura M., Imamura R., Yamaguchi S., Fushimi H., Miyamoto H., Morii E, & Nonomura N. (2018). STAT3 expression is a prognostic marker in upper urinary tract urothelial carcinoma. PLoS ONE, 13(8), e0201256.

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