In some of the meta-analyses I've worked on, even after applying a random-effects model, the heterogeneity remains very high (I² > 75%), and the confidence intervals stay wide. In such cases, I’ve considered meta-regression, subgroup analysis, and even sensitivity analysis, but I’m curious about how others approach this challenge—especially when journal reviewers raise concerns.
Do you typically exclude outliers, downgrade the evidence level, or proceed with narrative synthesis in parallel? I’d appreciate hearing your methods, experiences, or tools you find helpful.
I can help this way:
- Generate a list of 15–20 potential pain management clinics in Southern California
- Identify key contact persons (clinical directors, research coordinators)
- Draft personalized outreach emails with your letter attached
- Support any follow-up, scheduling, or documentation you may need (e.g., IRB materials, interview protocol formatting)
Would you like me to begin preparing a list with verified contacts based on your location preferences (e.g., Inland Empire, LA County, Orange County)?
I’d be honored to support your project — and ensure your time is protected for the work only you can do: the interviews and the writing.
I f yes, then you can signal me on my email and we can begin working on your project .Thank you
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