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Confounding variables (#35)
* Write confounding variables section * Add confounding variables in the experiment section * Add suggestions Co-authored-by: Sven F. <[email protected]> * change definition Co-authored-by: Sven F. <[email protected]> * remove tab specification * apply suggestions Co-authored-by: Sven F. <[email protected]> * Make it UI Agnostic Co-authored-by: Sven F. <[email protected]> * improve information on confounding * Smaller corrections --------- Co-authored-by: KochTobi <[email protected]> Co-authored-by: Sven F. <[email protected]> Co-authored-by: Sven Fillinger <[email protected]>
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Diff for: docs/confounding-variables.md

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# Confounding Variables
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!!!info
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_"Confounding, sometimes referred to as confounding bias, is mostly described as a ‘mixing’ or
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‘blurring’ of effects. It occurs when an investigator tries to determine the effect of an
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exposure on the occurrence of a disease (or other outcome), but then actually measures the effect
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of another factor, a confounding variable."_
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Jager, K. J., Zoccali, C., MacLeod, A., & Dekker, F. W. (2008). Confounding: What it is and how to deal with it. Kidney International, 73(3), 256-260. [https://doi.org/10.1038/sj.ki.5002650](https://doi.org/10.1038/sj.ki.5002650)
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### Define confounding variables in your experiment
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In order to work with confounding variables, first you must define them.
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Confounding variables are experiment-specific. Currently, it is not possible to reuse the same
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variable in other experiments metadata in Data Manager.
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Confounding variables are defined in your experiment, so navigate to your experiment first.
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There you can find the controls to add new confounding variables.
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### Assign levels of a confounding variable to your sample
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To get the full potential and account for effects of confounding variables in your experiment, you
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can now annotate the samples with your observation of the variables' manifestation.
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In contrast to experimental variables, not all samples need to have a level in one confounding variable.
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After [defining the confounding variables in your experiment](#define-confounding-variables-in-your-experiment),
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the confounding variables are added in the sample registration and sample editing process.
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In the sample registration and sample editing processes, you have the possibility to annotate
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samples with levels for the confounding variables.
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### Rename a confounding variable
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To remove a confounding variable, navigate to your experiment, locate the confounding variables editing and rename your confounding variable.
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After renaming a variable, the levels are preserved and only the name of the confounding variable are changed.
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### Delete a confounding variable
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To remove a confounding variable navigate to your experiment, locate the confounding variables editing and remove the variables you want to delete.
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!!!warning
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Removing a confounding variable will delete all annotated levels of that variable on all samples in your experiment.

Diff for: mkdocs.yml

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- Experiment:
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- Introduction: experiment/experiment_introduction.md
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- Creation: experiment/experiment_creation.md
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- Confounding Variables: confounding-variables.md
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- Measurement:
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- Introduction: measurement/measurement_introduction.md
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- Registration: measurement/measurement_registration.md

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