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  • Funnel plot

    https://www.eur.nl/en/erim/research-support/meta-essentials/user-manual/work-workbooks/publication-bias-analysis-sheet/funnel-plot

    A funnel plot (see Figure 20) is a scatter plot of the studies in a meta-analysis...

  • Publication Bias Analysis sheet

    https://www.eur.nl/en/erim/research-support/meta-essentials/user-manual/work-workbooks/publication-bias-analysis-sheet

    Publication bias analysis is not a core meta-analysis feature and for some of the methods rather strong assumptions apply, which means...

  • Moderator Analysis sheet

    https://www.eur.nl/en/erim/research-support/meta-essentials/user-manual/work-workbooks/moderator-analysis-sheet

    If you entered a score in the ‘Moderator’ column of the Input sheet, then a weighted regression will be run with ‘Moderator’ as a predictor of...

  • Subgroup Analysis sheet

    https://www.eur.nl/en/erim/research-support/meta-essentials/user-manual/work-workbooks/subgroup-analysis-sheet

    When the user has entered a category in the ‘Subgroup’ column of the Input sheet, then the Subgroup Analysis sheet will...

  • Forest Plot sheet

    https://www.eur.nl/en/erim/research-support/meta-essentials/user-manual/work-workbooks/forest-plot-sheet

    The Forest Plot sheet, which you can open by clicking on the regarding tab as shown in Figure 6, consists of three parts...

  • Input sheet

    https://www.eur.nl/en/erim/research-support/meta-essentials/user-manual/work-workbooks/input-sheet

    By default the sheet that you will see when you open a workbook is the Input sheet. If not, you can access it by...

  • NCA Logo

    https://www.eur.nl/en/erim/nca-logo

    Download the NCA logo

  • NCA Newsletter

    https://www.eur.nl/en/erim/nca-newsletter

    If you are interested in updates about NCA developments and NCA applications, you can subscribe to the NCA newsletter (four times per year).

  • NCA Philosophy

    https://www.eur.nl/en/erim/nca-philosophy

    The NCA philosophy is explained in four principles: Reduction of complexity, academic rigor, practical relevance, and history and future.

  • Get started with NCA

    https://www.eur.nl/en/erim/what-nca/get-started-nca

    There are three ways to get started with NCA and to check whether your data may contain a necessary condition.

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