Bara M. HammadehMD'28
Researcher Tool · Free · Open

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 LOOA GOSH Funnel + Egger Summary .xlsx
01 / WORKFLOW

How it works

1

Format your data

Use one sheet per outcome. Required column names depend on the analysis type — see the format guide below.

2

Upload & validate

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

3

Configure

Pick your effect measures (RR, OR, MD, SMD…), tau² method, plot device, and continuity correction.

4

Download results

Forest, LOOA, GOSH, funnel plots and a multi-sheet Excel summary — all bundled in a single ZIP.

Section 01

Excel format guide

The pipeline reads every sheet in your workbook and auto-detects which of four analysis types each sheet represents based on the column names. Match one of the layouts below 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. Default values reproduce the most common BMJ-style configuration.

Effect-size measures

Effect measure for dichotomous two-arm outcomes.

Effect measure for continuous two-arm outcomes.

Transformation for single-arm proportion meta-analysis.

Transformation for single-arm mean meta-analysis.

Heterogeneity & output

Between-study variance estimator. REML is the default recommendation.

PDF for vector publication, PNG/TIFF for raster.

Used for PNG / TIFF only. 300 DPI is publication-ready.

Continuity correction for studies with zero events (dichotomous).

Choose outputs

Tick only the outputs you need — disabling the heavy ones (especially GOSH) makes runs much faster and avoids server timeouts on large workbooks.

Your file is processed locally on the server and deleted after the run.

Results

Click any file to download. The bundled ZIP contains the same files for convenience.

02 / OUTPUTS

What you get back

📊

Forest plots

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

↩

Leave-One-Out

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

⚙

GOSH plots

Graphical display Of Study Heterogeneity — refits the model on every subset to surface clusters and outliers.

▽

Funnel + Egger

Funnel plot for publication-bias assessment plus Egger's regression test (when k ≥ 10).

▣

Summary .xlsx

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

🗜

Bundled ZIP

Everything packaged into a single archive so you can download the full result set in one click.