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cnma models  (Schwarzer GmbH)

 
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    Schwarzer GmbH cnma models
    Cnma Models, supplied by Schwarzer GmbH, 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/cnma+models/random+effects+model/pmc11583959-53-32-27
    Average 90 stars, based on 1 article reviews
    cnma models - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: A Complex Meta‐Regression Model to Identify Effective Features of Interventions From Multi‐Arm, Multi‐Follow‐Up Trials
    Article Snippet: In subsequent work, Freeman et al. [ ] extended Welton et al.'s model to include additional dependence on study‐level characteristics (e.g., baseline risk), while Rücker, Petropoulou, and Schwarzer [ ] described the CNMA models in a frequentist framework.



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    Left panel: A disconnected network of three two‐arm studies with six treatments. Right panel: The CNMA model adds new joins between the treatments having common components, thus reconnecting the network

    Journal: Biometrical Journal. Biometrische Zeitschrift

    Article Title: Network meta‐analysis of multicomponent interventions

    doi: 10.1002/bimj.201800167

    Figure Lengend Snippet: Left panel: A disconnected network of three two‐arm studies with six treatments. Right panel: The CNMA model adds new joins between the treatments having common components, thus reconnecting the network

    Article Snippet: A random effects CNMA model assuming a common between‐study variance τ 2 can be implemented similar to Rücker and Schwarzer ( ) by using a multivariate methods of moments estimate of τ 2 (Jackson, White, & Riley, ): τ ^ 2 = max Q a − df a t r ( I − H a ) U W , 0 with Q a , d f a , H a , W defined as above.

    Techniques:

    Left panel: A disconnected network of three two‐arm studies with six treatments. Right panel: The CNMA model adds new joins between the treatments having common components, thus reconnecting the network

    Journal: Biometrical Journal. Biometrische Zeitschrift

    Article Title: Network meta‐analysis of multicomponent interventions

    doi: 10.1002/bimj.201800167

    Figure Lengend Snippet: Left panel: A disconnected network of three two‐arm studies with six treatments. Right panel: The CNMA model adds new joins between the treatments having common components, thus reconnecting the network

    Article Snippet: For sake of clarity, we here ignore that there may be multiarm studies, however, adjustment for multiarm studies in the CNMA model works as described in Rücker and Schwarzer ( ) for the standard NMA model. We now define three matrices.

    Techniques: