Assess whether effect sizes can be pooled

A draft pooling-readiness memo listing compatible study groups and missing statistics.

Choose one of three approaches. The steps for that option appear below.

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Elicit: structured extraction, the statistician decides pooling

The qualified statistician decides whether and how pooling is defensible; missing inputs block pooling. Elicit does first-pass extraction with citations.

  1. You

    Check inputs, add papers

  2. Elicit

    Extract design, statistics

  3. You

    Assemble the compatibility table

  4. The qualified statistician

    Statistician drafts memo

  5. The named reviewer

    Reviewer checks trail

  1. Check inputs, add the papers

    Use: You

    Have ready: study results, outcome definitions, analysis plan, bounded question and permitted-use limits. Confirm everything is complete and readable; write down the question and limits. Add the supplied study papers to an Elicit project; confirm each paper loaded.

    Check

    Missing or unreadable inputs are flagged. Medical or other high-stakes implications require the relevant qualified professional; evidence research only. Check every supplied study is present; a missing paper blocks its row in the compatibility table.

  2. Extract design and required statistics

    Use: Elicit

    Run data extraction over the studies for design, outcome definition, effect measure, measurement time, sample-overlap clues and required statistics, with sentence-level citations.

    Details

    What to paste into the tool

    Task: Study results, outcome definitions and analysis plan; Bounded research question and permitted-use limits; Confirmed study set with scope notes; Project containing the supplied studies; Extracted fields per study with sentence-level citations. For each study extract: design, outcome definition, effect measure, measurement time, sample overlap clues and reported statistics. Leave a field empty where the paper does not state it. Keep the received originals and earlier results alongside this step output; do not treat carried items as newly generated or checked.

  3. Assemble the compatibility table

    Use: You

    Open the cited sentence behind each extracted field; assemble the compatibility table with proposed groups, missing statistics left empty and source locations attached.

    Check

    Compare effect measures, outcome timing, design, missing statistics and sample-overlap clues against original methods; groups stay provisional for the statistician.

  4. Assess groups, draft the memo

    Use: The qualified statistician

    Assess proposed groups for heterogeneity and dependent observations; draft the pooling-readiness memo listing compatible groups and missing statistics.

  5. Check the evidence trail

    Use: The named reviewer

    Each group has justified outcome and design compatibility; missing inputs block pooling; the evidence trail is confirmed before the brief is treated as complete.

Before you paste into any AI tool, remove any confidential information. Put it back at the end.

Tools in this workflow

Final check

Each group has justified outcome and design compatibility.

Missing inputs block pooling.

Proposed compatibility groups remain provisional for the qualified statistician.

Source locations are retained for every supplied value.

Check the result against your original inputs. Approve it before sharing or acting.

What still needs checking
  • The qualified statistician is a role; the specific person is for the user to assign.
  • Gemini Notebook extraction fidelity for dense statistical tables in PDFs is unstated (option B).
  • Coverage of the supplied studies in Consensus is unchecked (option C).

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