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jmp statistical software package version 13  (SAS institute)


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    SAS institute jmp statistical software package version 13
    Jmp Statistical Software Package Version 13, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/statistical+software+package+version+13/jmp+software+package/pm39217586-55-5-11
    Average 90 stars, based on 1 article reviews
    jmp statistical software package version 13 - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Laparoscopic Microwave Ablation and Salvage Liver Transplantation in Patients with Hepatocellular Carcinoma.
    Article Snippet: All statistical analyses were performed using JMP software, Version 18.2.0 (SAS Institute, Cary, NC, USA 2024–2025) and StataNow/SE 19.5 (Copyright 1985-2025 StataCorp LLC, College Station, TX, USA).

    Article Title: Regulation of autophagy and its role in late preimplantation during mouse embryo development
    Article Snippet: Statistical analyses were accomplished using JMP Pro software version 16.0 (SAS Institute Inc., Cary, NC).

    Article Title: Method of detecting conjunctival disease using ocular surface tissue, and aging biomarker
    Article Snippet: Statistical analysis was performed using JMP software version 9.0 (SAS Inc, Cary, North Carolina, USA) and the R software environment (public domain, cran.r-project.org) version 3.1.3.

    Article Title: Cadmium stress alters heterophylly, anatomy, and photosynthetic activity of Hygrophila difformis.
    Article Snippet: JMP statistical software v9.0.2 (SAS Institute, NC, USA) was used to perform one-way ANOVA for multiple group comparisons, followed by Tukey’s honestly significant difference (HSD) test.

    Article Title: GABA, Glx, and GSH in the cerebellum: their role in motor performance and learning across age groups
    Article Snippet: All statistical analyses were performed using SAS JMP® software (version 17, SAS Institute Inc., Cary, NC; RRID: SCR_022199) and the significance level was set at α = 0.05.

    Software:

    Article Title: Distal Radius Fracture Subsidence after Nonoperative Treatment
    Article Snippet: .. JMP Software (version 16 Pro, SAS institute, Cary, NC) was used for all statistical analyses. ..

    Article Title: Survival days of patients with metastatic spinal tumors of lung cancer requiring surgery: a prospective multicenter study.
    Article Snippet: .. JMP software version 12 (SAS Institute, Cary, North Carolina, USA) was used for all statistical analyses, and a p-value of < 0.05 was considered statistically significant. ..

    Article Title: PD-L1 expression on tumor cells and tumor-infiltrating immune cells in thymic epithelial tumors detected with SP142 and SP263 antibodies.
    Article Snippet: .. All statistical analyses were performed using the JMP software program (version 16.0.0, SAS Institute, Tokyo, Japan). ..



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    SAS institute jmp statistical software package version 13
    Data cleaning and analysis information of the included studies.
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    Data cleaning and analysis information of the included studies.

    Journal: Brain, Behavior, & Immunity - Health

    Article Title: Measuring salivary cortisol in biobehavioral research: A systematic review and methodological considerations

    doi: 10.1016/j.bbih.2024.100936

    Figure Lengend Snippet: Data cleaning and analysis information of the included studies.

    Article Snippet: 41. . United States , NR , NR , NR , NR , Cortisol Modeling: Y_ij = f(t_ij)+α_i+ε_ij Yij: the log-transformed cortisol value for the jth sample from the ith respondent; tij: the time at which the sample was taken αi: a respondent-level deviation from the mean with distribution N(0, σ2α). The error term εij is assumed to be independent with distribution N(0,σ2), log transformed average cortisol levels , Unadjusted and adjusted multiple linear regression. These models were fit using the survey weights distributed with the data set that accounts for differential probabilities of selection and differential nonresponse. Design-based standard errors were obtained using the linearization method46 as implemented in the Stata statistical software package version 13.1.47.

    Techniques: Functional Assay, Medications, Control, Sampling, Transformation Assay, Generated, Mann-Whitney U-Test, Selection, Software, Biomarker Discovery