What You Get Analyses Pricing FAQ Manuscript Editing Thesis Editing Guides Call +49 1579 2311740 WhatsApp +49 1511 2385346 Start Your Analysis

Statistics Support for Research, Theses & Papers

You have the data. We get the statistics right.

Robust analysis and publication-ready figures from a researcher who actually publishes. Whether you need to compare groups, run a regression, analyze a survey or work out your sample size, you receive the result, the figure, the write-up and a fully reproducible package.

Your analysis is run by a senior physician-scientist with 82+ peer-reviewed publications and a Habilitation. We deliver the code, outputs, figures and methods text. Every result is yours to understand and defend.

7-day money-back guarantee Reproducible code you keep EU-based · GDPR compliant
Your results from Rigora
Is the difference real, or just chance?
p = 0.002 Group A Group B
Yes. Group B is clearly higher (p = 0.002)
A real difference, very unlikely to be chance.
What you receive

A clear figure for your paper or thesis, the results in a simple table, and a ready-to-paste “Methods & Results” paragraph in plain English. You also get the analysis file, so every number is reproducible and easy to defend.

Analysis under a named, verifiable researcher Priv.-Doz. Dr. med. Sied Kebir, MD, PhD · Habilitation · 82+ peer-reviewed publications
Publishes in high-impact journals The Lancet Oncology · Journal of Clinical Oncology · Nature Communications · Neuro-Oncology · Clinical Cancer Research

Verify independently: Google Scholar · PubMed

Analysis, figures, and the text to go with them

One flat fee per package. Not a black-box result you can't explain. You get a complete, reproducible deliverable you can submit and defend.

01

The Right Analysis

We pick the right method for your data, from a simple group comparison to advanced models like survival or mixed-effects, and run it correctly, with the assumptions checked and reported, not glossed over.

03

Methods, Results & Code

A paste-ready Methods and Results write-up in plain English, plus the full reproducible analysis script. You own the analysis end to end and can answer any reviewer question.

From a t-test to a network meta-analysis

The six requests we get most often are up top. The advanced and clinical work follows. Not sure where your study fits? That's exactly what the free scoping call is for.

Compare groupst-test, ANOVA, chi-square, Mann–Whitney
Regression & predictorsLinear, logistic, multiple regression
Correlation & relationshipsPearson & Spearman correlations
Survey & questionnaire analysisLikert data, reliability, factor analysis
Sample size & powerHow many participants you need
Descriptive stats & tablesSummaries, frequencies, your results table
Survival analysisKaplan–Meier, Cox regression, competing risks
Clinical trialsRCT analysis, ANCOVA, subgroups, interim
Diagnostic accuracyROC/AUC, sensitivity & specificity, C-index
Propensity scoresMatching, weighting (IPTW), adjustment
Meta-analysisPairwise & network meta-analysis
Reporting standardsCONSORT, STROBE, PRISMA alignment

See exactly what you'll receive

A real Rigora deliverable. The figure shows representative analyses we run, and below it you get one fully worked example, with paste-ready results and the reproducible code. Yours will be in your field, explained just as plainly, so you can judge the quality yourself.

analysis_report.pdf, Rigora Statistics

1. Publication-ready figures

A · Group comparison (t-test) 0255075100 p = 0.002 ControlTreatment Outcome score B · Diagnostic accuracy (ROC) AUC = 0.86 95% CI 0.81–0.91 00.51.0 00.51.0 1 − specificity Sensitivity C · Survival (Kaplan–Meier) Tx Ct HR 0.62 0.00.51.0 0244860 Months Survival D · Correlation / regression r = 0.74 050100 050100 Baseline marker Outcome

2. Paste-ready results

Patients in the treatment group scored higher than those in the control group, and the difference was very unlikely to be due to chance (Figure 1A, P = 0.002). The model told likely responders apart from non-responders with high accuracy, ranking a random patient correctly about 86% of the time (Figure 1B, area under the curve 0.86, 95% CI 0.81 to 0.91). Half of the treatment group were still alive at 38.0 months, compared with 21.5 months in the control group (Figure 1C). After we accounted for age and disease stage, the risk of death was 38% lower with treatment (hazard ratio 0.62, 95% CI 0.48 to 0.81, log-rank P < 0.001). Patients who started with a higher marker level tended to do better (Figure 1D, r = 0.74).

3. Reproducible R code, yours to keep

# Figure 1C, overall survival (Kaplan-Meier and adjusted Cox)
library(survival); library(survminer)

fit <- survfit(Surv(time, status) ~ arm, data = df)
cox <- coxph(Surv(time, status) ~ arm + age + stage, data = df)

ggsurvplot(fit, risk.table = TRUE, conf.int = TRUE, pval = TRUE)
cox.zph(cox)     # proportional-hazards check
summary(cox)     # HR, 95% CI, p-values

Illustrative example built on simulated data. Your deliverable uses your own data and is fully reproducible from the code we provide.

From your data to a finished package in 4 steps

Step 1

Free scoping call

A short call to understand your data, design and questions. You get a fixed quote and a clear plan. No obligation.

Step 2

Send your data

Pay securely, then send your pseudonymized dataset and a short description of the outcomes you care about.

Step 3

We analyze

We run the analysis, build the figures, write the methods & results, and document everything in reproducible code.

Step 4

Receive your package

Figures, tables, methods & results text, and the R script, delivered to your inbox, usually within 14 days.

Statistics you can stand behind

We run the analysis you specify on the data you provide. We do not invent, alter, or generate data, and we do not chase a particular p-value. If an analysis doesn't support a claim, we tell you. That's the point of doing it properly.

Every project ships as a reproducible package. You get the R code, the outputs, the figures, and a methods & results write-up. You can re-run it, check it, and defend every number in front of reviewers or an examiner. The analysis is a service. The work and authorship remain yours.

  • Reproducible code delivered with every project
  • Your data is never altered, and results are reported honestly
  • Authorship stays with you. This is analysis support, not ghostwriting
Data protection. Please send only pseudonymized data (no direct identifiers). Files are stored on EU-based servers, used only for your analysis, and deleted after completion. A data-processing agreement (AVV/DPA) or an NDA is available on request. Ethics/IRB approval for your study remains your responsibility.

Flat-fee statistics, far below the usual rates.

University and freelance biostatistics typically runs €70–310/hour or €750+ per project. Rigora is a flat fee, charged in EUR, with a money-back guarantee.

Charged in EUR. USD shown for reference (1 EUR ~ US$1.17).

Paying with institutional funds? Every order includes a proper invoice made out to your institution, suitable for reimbursement.

Not sure which fits? Book a free scoping call. We confirm scope and a fixed price before you pay.

Quick guide. Just the numbers? Core · submitting a paper? Analysis + Figures · in revision? Express.

Core Analysis

The analysis, done correctly

One primary research question / dataset

EUR 390 final price

~US$455 (ref.)

A defensible analysis you fully own.

  • Method chosen for your design
  • Results tables + assumption checks
  • Reproducible R code
  • Short methods note
  • ~14-day turnaround
Choose Core Analysis
7-day money-back · fixed quote, no surprises

Express

Everything in Analysis + Figures, fast

Primary + key secondary analyses

EUR 1,090 final price

~US$1,275 (ref.)

The full deliverable, in 48 hours.

  • Everything in Core Analysis
  • Publication-ready figures (vector + TIFF)
  • Full Methods & Results text (paste-ready)
  • Key secondary / sensitivity analyses
  • 48-hour turnaround
Choose Express
7-day money-back · fixed quote, no surprises
Sample-size & Power calculation Standalone, for protocols, grant and ethics applications. Delivered with assumptions and a short justification paragraph.

Prices cover one study / dataset of typical complexity. Larger or more complex projects (multilevel models, Bayesian analysis, network meta-analysis, many endpoints) get a fixed quote from the free scoping call, always agreed before you pay.

Not sure which fits? Get a free quote.

Tell us about your study in a sentence or two, like the design, sample size, primary outcome, and the analysis or figures you need. We’ll reply with a fixed quote and a clear plan, or arrange a short scoping call. No payment, no obligation. Don’t send data yet. We confirm scope first (DPA / NDA on request).

Strictly confidential. EU-based, GDPR. DPA / NDA on request before any data is shared.

Four guarantees. Zero risk to you.

We carry the risk, not you.

7-day money-back

Not satisfied within 7 days of delivery? Full refund, no questions, no conditions.

Reproducible and yours to keep

You receive the full R code and outputs. Nothing is a black box. You can re-run and verify every result.

Fixed quote, no surprises

After the free scoping call you get one fixed price for the agreed scope. No hourly meter, no creeping invoice.

Confidential by default

Pseudonymized data on EU-based servers, used only for your analysis and deleted after completion. DPA on request.

Researchers who needed the statistics right.

★★★★★
“I had the data and the deadline, but not the time to get the analysis right. I received the analysis, a clean figure, and methods text I could paste straight in. I also got the code, so I could answer the reviewers myself. The paper was accepted.”
MR
Dr. M. R. Clinical oncology, university hospital, Germany
★★★★★
“We needed a defensible sample-size calculation for an ethics submission at short notice. What came back wasn’t just a number. It was the assumptions and a justification paragraph the committee accepted without a single query.”
PD
P. D., MD Clinical trials unit, Netherlands
★★★★★
“A reviewer challenged our statistics on revision. The re-analysis and the point-by-point statistical response were precise, reproducible, and fast. It turned a worrying revision into an acceptance.”
SA
Prof. S. A. Translational research, Austria

A publishing physician-scientist, not a black-box service

Your analysis is run and overseen by a researcher who actively publishes and peer-reviews for high-impact journals, and who knows what reviewers challenge in clinical statistics.

Priv.-Doz. Dr. med. Sied Kebir, MD, PhD, Lead Statistician & Editor
Lead Statistician & Editor

Priv.-Doz. Dr. med. Sied Kebir, MD, PhD

Physician & researcher · University Hospital Essen

Clinical neuro-oncology · translational neuroscience · clinical trials

  • Habilitation in neuro-oncology
  • 82+ peer-reviewed publications in survival, regression and trial analyses
  • Active researcher at a German university hospital
  • Invited peer reviewer for high-impact journals (IF ≥ 9): Journal of Nuclear Medicine, Lancet Digital Health, npj Digital Medicine, Experimental Hematology & Oncology, Molecular Biomedicine

Supported by a vetted team of senior biostatisticians. Your project is matched to the right specialist and overseen by the lead.

Statistics support, frequently asked questions

A reproducible package with results tables, assumption checks, the reproducible R code, and a short methods note (Core Analysis). Analysis + Figures and the Express add publication-ready figures (vector + high-resolution TIFF) and a full, paste-ready Statistics Methods & Results section. Everything arrives by email.

No, and you should be wary of anyone who does. We run the correct analysis for your design and report what the data actually show. If a result isn't significant or an assumption is violated, we tell you clearly, along with the honest options. Sound statistics protects your paper in review. P-hacking sinks it.

No. This is analysis support, the same way a core facility or a collaborating statistician helps with a study. You provide the data and the research questions. We run the analysis and document it reproducibly so you understand and own every result. Authorship stays with you. If you'd like to acknowledge the statistical support in your paper, that's entirely your call.

Please send pseudonymized data only. Remove direct identifiers (names, dates of birth, record numbers) and replace them with study IDs. Files are stored on EU-based servers, used only for your analysis, and deleted after completion. We're happy to sign a data-processing agreement (AVV/DPA) on request. Ethics/IRB approval for collecting and analysing your data remains your responsibility.

Survival analysis (Kaplan–Meier, Cox, competing risks), linear/logistic/mixed models, RCT analysis, propensity-score methods, diagnostic accuracy (ROC, C-index), meta-analysis and network meta-analysis, and sample-size/power. Analyses are done primarily in R and delivered as a reproducible script. If you need a specific package or a SAS/Stata equivalent, mention it in the scoping call.

Flat fees. Core Analysis EUR 390, Analysis + Figures EUR 690, Express EUR 1,090, and a standalone Sample-size & Power calculation EUR 250. Core Analysis and Analysis + Figures are delivered in about 14 days. The Express comes in 48 hours. The Sample-size & Power calculation comes in about 7 days. Larger or more complex studies get a fixed quote from the free scoping call, always agreed before you pay.

Yes. We offer reviewer statistics-response support and re-analysis. Already have the reviews and just need help with the statistics points? Mention it in the scoping call or with your order, and we'll quote it specifically.

Yes. You pay by card via Stripe, and every order automatically generates a proper invoice made out to the billing address you enter at checkout. Enter your institution's address if your department pays or reimburses you. No VAT is charged under the German small-business regulation (§ 19 UStG). Need a quote or purchase order first? The scoping call covers that.

Yes, that's our core service. See manuscript editing and thesis editing. Many clients combine statistics support with editing so the analysis, the figures and the writing all line up. Mention it in the scoping call and we'll bundle it.

Get your statistics done right.

Not sure which package fits? Book a free 20-minute scoping call first. We confirm scope and a fixed price before you pay anything.

1
Pick a package & payOr book a free scoping call first
2
Send pseudonymized dataReply to the confirmation email
3
We analyze & build figuresUsually within 14 days
4
Receive your packageFigures, text & reproducible code
Book a free scoping call
Prefer email?

Step 1 of 2, takes under a minute

Not sure which fits, or have a complex project? Book a free scoping call. We confirm scope and a fixed price first.

7-day money-back Reproducible code Secure payment via Stripe

Send only pseudonymized data. EU-based, GDPR, DPA / NDA on request.

Start Your Analysis