Free scoping read. A written assessment of your manuscript in two business days, at no cost.

Start one

R Statistical Analysis Services

Pubrica carries out statistical analysis in R for researchers, clinicians, universities and life-science teams. R is an open-source environment with an extensive package ecosystem for statistics and graphics. Our biostatisticians use it for regression and survival analysis, mixed-effects models, meta-analysis and reproducible reporting, and deliver the code with the results so the analysis can be checked and repeated.

  • Analysis written as code, so every step from raw data to final table can be traced and rerun
  • Established packages such as survival, lme4, metafor and ggplot2, chosen for the method rather than by habit
  • Reproducible reports produced with R Markdown or Quarto where you need the code and results in one document
  • Second-statistician check of the key outputs before anything is delivered
  • Reporting to the relevant guideline, such as CONSORT, STROBE or PRISMA, in the methods and results
Request a Quote Ask an expert
What you receive

Commented R scripts or an R Markdown/Quarto fileIncluded

Formatted tables and figures for the manuscriptIncluded

Statistical methods and results sectionsIncluded

Analysis log listing decisions and assumptionsIncluded

Responses to statistical reviewer comments within scopeIncluded

Service Scope

What Our R Analysis Service Covers

Each project is scoped individually. The components below are combined according to your study and its requirements.

Data cleaning and preparation Import, recoding, derivation of variables and missing-data review, with every transformation recorded in the script.
Descriptive and inferential statistics Summary tables, hypothesis tests and confidence intervals appropriate to the data type and study design.
Regression modelling Linear, logistic, Poisson and negative binomial models, with assumptions checked and reported.
Survival analysis Kaplan–Meier estimates, log-rank tests and Cox models, including checks of the proportional hazards assumption.
Mixed-effects and longitudinal models Repeated measures and clustered data analysed with random effects where the design requires them.
Meta-analysis Fixed- and random-effects pooling, heterogeneity statistics, forest and funnel plots using metafor or meta.

Applications

Typical Applications of R

Clinical trialsPrimary and secondary endpoint analysis to a pre-specified plan.
Observational studiesCohort and case-control analyses with adjustment for confounding.
Systematic reviewsPairwise and network meta-analysis with sensitivity analyses.
Theses and dissertationsAnalysis chapters with the code supplied as an appendix.
Publication graphicsFigures produced to journal size and resolution requirements.

Process

How the Project Works

Methods, deliverables and fees are confirmed in writing before work begins.

01 Data and question reviewWe review the dataset, the research question and any analysis plan, and confirm that R suits the analysis.
02 Analysis plan agreedMethods, variables, handling of missing data and outputs are agreed in writing before analysis starts.
03 Analysis and codeThe analysis is carried out in R with commented code, and a second statistician checks the outputs.
04 Report and outputsYou receive tables, figures and a methods and results section written to the relevant reporting guideline.
05 Queries and revisionsWe answer your questions and reviewer comments on the analysis within the agreed scope.

FAQs

Frequently Asked Questions

If your question is not answered here, ask an expert.

Yes. The commented scripts are part of the deliverables, together with the package versions used, so that the analysis can be rerun.

Yes. R reads most common formats, and we document any conversion so that variable labels and missing-value codes are preserved.

Where one exists we follow it and report any deviations. Where none exists we agree the methods with you in writing before the analysis starts.

Yes. Reviewer requests on the analysis are handled within the agreed scope, and requests that change the scope are quoted before work begins.

Pubrica Academy

Further Reading in Pubrica Academy

AcademyThe Benefits of R Programming in Clinical Trial Data Analysis AcademySoftware Programs to Assist Meta-Analysis AcademyStatistical Significance and Effect Size CategoryAll articles in Research Data, Analytics & AIPubrica Academy articles on statistics, data collection, analytics and AI.

Request a Quote for R Data Analysis

Send your dataset description and research question. We confirm the methods, the deliverables and the fee before any work begins.

Get a free quote Contact us
Get a free quote

Regulations

Check your project against this rule

  1. 1Your work
  2. 2Your details
  3. 3Send
What do you need?

Material you send is held under signed confidentiality, with access limited to the assigned team and encrypted transfer. It is not used to train anything and is not passed to third-party tools. Ask for the agreement before you send anything you would rather cover first.