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wiki:autolit:extraction [2023/04/08 20:05]
jthurnham [Meta-Analytical Extraction]
wiki:autolit:extraction [2023/06/27 21:02]
jthurnham
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 Extraction enables you to gather quantitative data from underlying studies. In short, after configuring your Interventions and Data Elements on the Configure Study Tags page, you can extract dichotomous, categorical, or continuous data across any number of timepoints from all included studies. Extraction enables you to gather quantitative data from underlying studies. In short, after configuring your Interventions and Data Elements on the Configure Study Tags page, you can extract dichotomous, categorical, or continuous data across any number of timepoints from all included studies.
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 +<WRAP center round info 60%> We are currently in the process of transitioning our module names with the goal of making the AutoLit workflow easier to understand for first-time users.
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 +**Tagging** is now **Extraction**, **Extraction** is now **Meta-Analytical Extraction**, and **Risk of Bias** is now **Critical Appraisal.**
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 +Bear with us as we edit our documentation (don't worry, no feature functionality has changed!) and, as always, contact us at [[support@nested-knowledge.com|support@nested-knowledge.com]] if you have any questions. </WRAP>
  
 ===== Configuring Data Elements ===== ===== Configuring Data Elements =====
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 Once you have extracted data, you can view it in [[:wiki:synthesis:quantitative|]], and [[:wiki:autolit:extraction:export|Export]] it in Custom Tables or in bulk. Once you have extracted data, you can view it in [[:wiki:synthesis:quantitative|]], and [[:wiki:autolit:extraction:export|Export]] it in Custom Tables or in bulk.
  
-===== Risk of Bias =====+===== Critical Appraisal =====
  
-For any nest you extract, you may consider completing a Risk of Bias survey to reflect data quality across the studies you included in your review. Learn how [[:wiki:autolit:risk_of_bias|here]].+For any nest you extract, you may consider completing a Critical Appraisal survey to reflect data quality across the studies you included in your review. Learn how [[:wiki:autolit:risk_of_bias|here]].