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software network package  (STATA Corporation)


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    STATA Corporation software network package
    Software Network Package, supplied by STATA Corporation, 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/network+software/software+network+package/pm40652262-82-13-6
    Average 90 stars, based on 1 article reviews
    software network package - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Generated:

    Article Title: Effect of mind–body therapies on anxiety, depression and sleep quality in college students: a network meta-analysis
    Article Snippet: .. Network and funnel plots were generated via STATA 15.0 with a loaded pass-through macro. ..

    other:

    Article Title: Comparative Risks of Pneumonitis Amongst Immune Checkpoint Inhibitors in Patients with Lung Cancer: A Network Meta-Analysis of Randomized Clinical Trials.
    Article Snippet: All analyses were carried out in MetaXL (version 5.3, EpiGear International, Queensland, Australia), R (netmeta package, R Core Team, Vienna, Austria; https://www.R-project.org, accessed on 5 December 2025), and Stata version 15 (metan and network commands; StataCorp LLC, College Station, TX, USA.

    Article Title: Lipid-Lowering Efficacy and Adverse Events of CETP Inhibitor Combination Therapy: A Systematic Review and Network Meta-Analysis
    Article Snippet: We conducted a frequentist network meta-analysis (NMA) using Stata 14.0.

    Article Title: Lefamulin versus omadacycline for community acquired bacterial pneumonia: a systematic review and anchored indirect treatment comparison using moxifloxacin as the common comparator
    Article Snippet: We performed all analyses utilizing the ‘network package (version 1.2.1)’ in Stata 14.0 for ITC analysis and Microsoft Excel for forest plot generation.

    Software:

    Article Title: Comparative efficacy and safety of three fixed-ratio combination products in type 2 diabetes: A network meta-analysis.
    Article Snippet: .. Network meta-analysis was conducted using Stata 14.0 software. ..

    Article Title: The preventive effects of different interventions on gestational hypertension: incidence and network meta-analysis.
    Article Snippet: .. Network meta-analysis was conducted using Stata 15.1 software (network package and network graphs package) [20,21]. ..

    Article Title: Efficacy of non-pharmacological therapies on depression, anxiety, and glycemic control in type 2 diabetes: A systematic review and network meta-analysis.
    Article Snippet: Objective: Depression is a common and debilitating comorbidity in patients with type 2 diabetes mellitus (T2DM), adversely affecting glycemic control, complicating disease management, and increasing mortality risk.. Nonpharmacological therapies are increasingly used to alleviate depression in T2DM, but their comparative efficacy remains unclear.. This network meta-analysis (NMA) aims to compare the efficacy of different nonpharmacological therapies for depression in patients with T2DM, while also evaluating their effects on anxiety and glycemic control.



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    Image Search Results


    Image is a direct output of the VSBONE BSI clinical computer-aided diagnosis (CAD) software (Nihon Medi-Physics Co., Ltd., Tokyo, Japan), displaying actual bone scintigraphy images of a 61-year-old patient with hepatocellular carcinoma. BSI: Bone Scan Index; HSn: hotspot number.

    Journal: Cureus

    Article Title: Evaluating the Impact of Sex-Specific Artificial Intelligence on Bone Metastasis Detection: VSBONE Bone Scan Index (BSI) Version 2.1 Versus Version 3.0

    doi: 10.7759/cureus.106562

    Figure Lengend Snippet: Image is a direct output of the VSBONE BSI clinical computer-aided diagnosis (CAD) software (Nihon Medi-Physics Co., Ltd., Tokyo, Japan), displaying actual bone scintigraphy images of a 61-year-old patient with hepatocellular carcinoma. BSI: Bone Scan Index; HSn: hotspot number.

    Article Snippet: Image analysis using computer-aided diagnosis (CAD) software Data analyses were performed using the deep learning neural network (trained) computer-aided diagnosis software VSBONE BSI (Nihon Medi-Physics, Tokyo, Japan) [ ].

    Techniques: Biomarker Discovery, Software