Body: <p>I want to do <strong>meta-analysis of alpha diversity</strong> between test and control groups across 10 different populations. I want to see what is the summed effect (pool effect) of intervention between the two groups for alpha diversity. For that, first I need the intervention effect on test group's alpha diversity for individual population dataset. How should I calculate this? Should I calculate this by difference in the log transformed mean values of the groups (<strong>log2FC</strong>) or should I calculate <strong>SMD</strong> for each study?
  Thanks</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-16T15:27:18.010Z
Comments.Text: Cross-posted on biostars: https://www.biostars.org/p/9468060/
Comments.UserDisplayName: Ram RS
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-02-09T21:54:09.863Z
Comments.Text: what is the measure of alpha-diversity? counts or proportion?
Comments.UserDisplayName: Subhash C. Davar
Tags: <r><meta-analysis>
Title: How to decide between standardized mean difference (SMD) and log2fold change (log2FC) before doing meta-analysis?
ThreadText: # How to decide between standardized mean difference (SMD) and log2fold change (log2FC) before doing meta-analysis?
  
  (Asked by: username_0 on 2021-04-29)
  
  I want to do **meta-analysis of alpha diversity** between test and control groups across 10 different populations. I want to see what is the summed effect (pool effect) of intervention between the two groups for alpha diversity. For that, first I need the intervention effect on test group's alpha diversity for individual population dataset. How should I calculate this? Should I calculate this by difference in the log transformed mean values of the groups (**log2FC**) or should I calculate **SMD** for each study?
  Thanks
  
  **Tags:** r, meta-analysis
  
  > **Comments:**
  > **username_1**: Cross-posted on biostars: https://www.biostars.org/p/9468060/  
  > **username_2**: what is the measure of alpha-diversity? counts or proportion?  
  
  ---
  
  ## 0 answers
  
  