Coming soon · Join the early-access list

Clinical data in.
Journal-ready results out.

Table 1, regression, Kaplan–Meier and Cox models — exported as Word tables that don't break, with a Methods paragraph and the R script you keep. Runs entirely in your browser.

Your patient data never leaves your computer. No upload, no server.
Every number is computed by R, not guessed by an AI.
One-time Paper Pass. No auto-renewal, no credits.

Get early access

We'll email you once when the beta opens. Waitlist members get founding prices.

From spreadsheet to manuscript in one sitting

Built for clinicians and students who need a correct analysis and clean tables for a paper — without learning R or paying a statistician by the hour.

01 · Import

Open your file as-is

CSV, Excel, SPSS (.sav) and Stata (.dta). Variable types are detected and you confirm them before anything runs.

02 · Analyse

The analyses papers need

Table 1 with appropriate tests and SMD, linear and logistic regression, Kaplan–Meier with an editable number-at-risk table, Cox with a proportional-hazards check.

03 · Guard rails

Warnings before mistakes

Flags tiny groups, sparse cells and violated assumptions, and explains which test was used and why.

04 · Export

Word tables that stay tables

A .docx with real Word tables in journal style — not screenshots, not broken tab-separated text.

05 · Write

A Methods paragraph that matches

Generated from the analyses you actually ran: tests, models, software and package versions.

06 · Keep

The R script is yours

Download a script that reproduces every number in standard R. Reviewers can check it; you never lose access.

What the output looks like

Real output from our working prototype, with R running inside the browser on the public survival::lung dataset (NCCTG lung cancer trial).

Table 1. Baseline characteristics by sex
Characteristic	Overall N = 228	Male N = 138	Female N = 90	SMD	p-value

Age, years	63 (56, 69)	64 (57, 70)	61 (55, 68)	0.25	0.057
ECOG performance status				0.11	0.737
0	63 (28%)	36 (26%)	27 (30%)
1	113 (50%)	71 (52%)	42 (47%)
2–3	51 (22%)	30 (22%)	21 (23%)
Weight loss, lb	7 (0, 16)	8 (1, 19)	4 (0, 11)	0.27	0.029
Calories per meal	975 (635, 1,150)	1,025 (768, 1,175)	925 (588, 1,075)	0.36	0.022
Died during follow-up	165 (72%)	112 (81%)	53 (59%)	0.50	<0.001
Median (Q1, Q3); n (%). Wilcoxon rank-sum test; Pearson's chi-squared test. SMD, standardized mean difference. Missing values omitted from this excerpt.

Kaplan–Meier overall survival curves by sex with 95% confidence bands, log-rank p = 0.001, and a number-at-risk table below the plot — Kaplan–Meier curves with confidence bands, log-rank p-value and number-at-risk table — rendered by R in the browser.

Methods paragraph Illustrative

Continuous variables are presented as median (Q1, Q3) and were compared using the Wilcoxon rank-sum test; categorical variables are presented as n (%) and were compared using Pearson's chi-squared test. Balance between groups was assessed with standardized mean differences. Overall survival was estimated with the Kaplan–Meier method and compared with the log-rank test. Hazard ratios with 95% confidence intervals were estimated using Cox proportional hazards regression adjusted for age and ECOG performance status; the proportional hazards assumption was assessed with Schoenfeld residuals. Analyses were performed in R 4.6.0 (survival, gtsummary).

R script you keep

# Cox proportional hazards + Schoenfeld residual test
fit_cox <- coxph(Surv(time, status) ~ age + sex + ph.ecog,
                 data = d)
zph <- cox.zph(fit_cox)

t_cox <- tbl_regression(fit_cox, exponentiate = TRUE)

# Runs unchanged in RStudio — no lock-in.

Why not the tools you already have?

We studied public reviews and forum posts from researchers about their statistics software. These complaints came up again and again — here is what we do instead.

The usual problem

PaperStat

Subscriptions that auto-renew and credits that run out mid-paper

One-time Paper Pass, no auto-renewal, no credits

AI assistants that invent numbers

Every statistic computed by R; AI never calculates

Tables that fall apart when pasted into Word

Native .docx tables in journal style

Your work locked inside a licence you lose when you leave

A standard R script that reproduces everything

Patient data uploaded to someone else's server

Analysis runs locally in your browser; nothing is uploaded

Simple, honest pricing

Planned launch pricing. Waitlist members will be offered a founding price first. Student and low- and middle-income country discounts of about 50%.

Free

forever

Table 1 and descriptive statistics
Word export
Runs in your browser

Paper Pass

$29

one-time · 90 days · no auto-renewal

Everything in Free
Regression, Kaplan–Meier, Cox
Methods paragraph
Reproducible R script

Annual

$99

per year

Everything in Paper Pass
Unlimited projects all year
Department and class licences available

Questions

Does my data get uploaded anywhere?

No. PaperStat runs R compiled to WebAssembly inside your browser tab. Your file is read locally and the analysis runs on your own computer. We never receive your data.

Is this real R?

Yes — the same R language and the same established packages statisticians use (survival, gtsummary and others), running in the browser via WebR. The script you download runs in a normal R installation.

Do I need to know R?

No. You choose variables and analyses with a point-and-click interface. The R script is there if you, a co-author or a reviewer want to check or extend the analysis.

Which analyses will be available at launch?

Table 1 with automatic test selection and SMD, linear and logistic regression, Kaplan–Meier with number-at-risk tables, and Cox regression with a proportional-hazards check. Forest plots, ROC curves, mixed models, multiple imputation and meta-analysis are planned next.

When does it launch?

We are testing the prototype now. Join the list and we'll email you when the beta opens.

Clinical data in.Journal-ready results out.