Clever Academy
Researcher tool · free tier + Pro

Meta-analysis, automated.

Upload your Excel file. Pick a few parameters. Get publication-ready forest plots, leave-one-out and GOSH analyses, funnel plots with Egger's test, and a clean summary spreadsheet - all in one run.

Forest plots Advanced heterogeneity assessment Publication bias Subgrouping & meta-regression Written results
Watch first

See the tool in action

A short walkthrough with a few worked examples — from formatting your Excel file to reading the forest plot and written results.

Explainer video coming soon

Owner: drop your walkthrough here — replace this block with an <iframe> (YouTube/Vimeo) or a <video> tag.

01 / Workflow

How it works

1

Format your data

One sheet per outcome. Required column names depend on the analysis type - see the format guide below.

2

Upload & validate

Drop in your .xlsx. We auto-detect dichotomous vs continuous, single- vs two-arm per sheet.

3

Configure

Pick effect measures (RR, OR, MD, SMD…), τ² method, plot device, and continuity correction.

4

Receive results

Forest, LOOA, GOSH, funnel plots and a multi-sheet Excel summary - bundled in a ZIP, emailed to you.

Section 01

Excel format guide

The pipeline reads every sheet and auto-detects which of four analysis types it represents from the column names. Match one layout exactly - column names are case-sensitive.

dich_two

Dichotomous · two-arm

Events out of N in treatment vs control. Used for RR, OR, RD effect sizes.

  • study
  • event_treatment
  • n_treatment
  • event_control
  • n_control
cont_two

Continuous · two-arm

Mean ± SD with sample size per arm. Used for MD, SMD effect sizes.

  • study
  • treatment_mean
  • treatment_SD
  • n_treatment
  • control_mean
  • control_SD
  • n_control
dich_one

Dichotomous · single-arm

Single proportion meta-analysis (PLOGIT, PAS, PFT, PRAW, or PLN).

  • study
  • event_treatment
  • n_treatment
cont_one

Continuous · single-arm

Single-arm mean meta-analysis (MRAW, MLN).

  • study
  • treatment_mean
  • treatment_SD
  • n_treatment

Section 02

Upload & configure

Drop your Excel file, set the parameters that match your analysis design, then run. Defaults reproduce the most common BMJ-style configuration.

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02 / Outputs

What you get back

Every run returns the full set below, packaged together in one downloadable ZIP:

FP

Forest plots

Per-sheet, BMJ-style with auto-sized canvases, fixed- and random-effects pools, and prediction intervals.

LOOA

Leave-one-out

LOOA forest showing how the pooled effect shifts when each study is removed, to find influential studies fast.

GOSH

GOSH + Baujat

GOSH and Baujat plots to surface heterogeneity clusters, outliers, and the studies driving them.

BIAS

Funnel + Egger's + LFK/DOI

Publication-bias suite: funnel plot, Egger's regression test, and the LFK index with its DOI plot.

SUB

Subgroups + meta-regression

Subgroup analyses and meta-regression to explore where and why effects differ.

XLSX

Summary .xlsx

One workbook, a sheet per analysis: pooled estimates, CIs, I², τ², Egger's p, and outlier flags.

DOCX

Written results in Word

Ready-to-paste results paragraphs, written up per outcome in an editable Word document.

ZIP

Bundled ZIP

Everything above packaged into one archive, with a 24-hour download link sent to your email.