Expert Statistics and Maths Programming Services (R, Python, SAS, STATA)

Our solution suite cover all aspects of programming in Statistics and Mathematics.

We deliver objective-driven code development in different research scenarios.

Codes Creation, Debugging, Translation and Monte Carlo Simulation

Design of Biological Experiments, Data Collection & Analyses, Interpretation.

Code Writing

Our expert statistical programmers can help you develop new and efficient custom codes in software environments like R, SAS, Python, and STATA. We offer professional statistical programming services covering all aspects of Mathematics and Statistics including advanced algebra, linear algebra, calculus, probability, probability distributions, and more.

Ready to turn your statistical concepts into efficient, production-ready code?

Survival Analysis

We analyze your survival data based on a solid theoretical and application foundation. The Kaplan-Meier curve, comparison of survival distributions, hazard ratio and distributions, etc are part of the mix of services available. Censoring, testing of exposure effect, etc will also be factored in the results.

Checking and Debugging of existing codes

We provide expert statistical code debugging, optimization, and troubleshooting services to enhance the efficiency and performance of your existing codes in R, SAS, Python, STATA, and other software environments. Our professional debugging team identifies bottlenecks, eliminates errors, and refactors code for maximum efficiency and maintainability. Whether you need to fix bugs, improve performance, or optimize complex algorithms, our specialists deliver reliable solutions.

Let our experts identify and fix the issues slowing down your code.

Probability and Probability Models

We provide expert advisory on the relevant discrete (Binomial, Poisson, Negative Exponential, etc) or continuous (Normal, Exponential, Gamma, Weibull, etc) probability distribution for your bio-medical data.These are applicable to pair-matched, case-control and other studies.

Creation and Development of R Libraries

Our expert R developers specialize in creating custom R packages and libraries tailored to your statistical and mathematical needs. We design, develop, and deploy production-ready R libraries with comprehensive documentation, unit tests, and CRAN-ready standards. Whether you need to build proprietary statistical functions, create domain-specific tools, or develop reusable R packages for your organization, our team delivers professional, well-documented solutions. We handle everything from package architecture and dependency management to testing and optimization for maximum performance and usability.

Build powerful, reusable R packages with our expert development team.

Estimation

Our in-house biostatisticians drive the estimation procedure which include the sampling distributions, confidence intervals and small-sample tests of hypotheses. We also help to evaluate the success of intervention in your studies, providing estimates for the odds and correlation coefficients. Summaries like proportions, rates (morbidity, mortality), ratios (relative risk, odds, odds ratio, etc), and means are provided…

Code Translation between software packages

We provide expert code translation services to convert your statistical code between different programming environments including R, Python, SAS, and STATA. Whether you need to migrate from R to Python, translate SAS code to R, or convert STATA scripts to Python, our experienced programmers ensure accurate, efficient, and optimized translations. We maintain code functionality, improve performance, and adapt best practices for each target language. Our translation services help you leverage the strengths of different statistical platforms while preserving your original logic and analytical integrity.

Seamlessly convert your code between R, Python, SAS, and STATA.

Statistical Tests of Significance in Biostatistics

We will provide the needed professional direction in formulating and testing your research hypotheses. The tests will encapsulate the statistical evidence, rejection region, errors (Type I, Type II), etc.

“Stats4Edu’s team was instrumental in helping me translate my complex R simulations into Python for my dissertation. Their expertise in Monte Carlo methods and MCMC algorithms saved me months of work. The code they developed was not only accurate but also well-documented and optimized for performance. I highly recommend their services to any researcher working with advanced statistical programming.”

Dr. Marcus Chen

University of Cambridge, UK

Markov Chain Monte Carlo (MCMC) & Steps in MCMC simulations

Hire our expert MCMC specialists for advanced Bayesian statistical modeling and inference.
We provide comprehensive theoretical and algorithmic guidance for MCMC problem
conceptualizations and implementation. Our team handles all critical steps including
probability distribution specification, random number generation, simulation execution,
parameter estimation, convergence diagnostics, and goodness-of-fit testing. Whether you’re
working with Bayesian hierarchical models, complex posterior distributions, or advanced
statistical inference, we deliver professional MCMC solutions with rigorous validation
and expert interpretation of results.

Master complex Bayesian inference with our MCMC expertise.

Monte Carlo Simulation

Hire our expert Monte Carlo simulation specialists to model complex systems, assess risk, and make data-driven decisions. Our team covers a wide range of Monte Carlo applications including optimization, numerical integration, sampling techniques, bootstrapping, and uncertainty quantification. We design and implement custom simulations tailored to your research or business needs, whether for financial modeling, engineering analysis, scientific research, or operational planning. Our professional simulations provide accurate probability distributions, sensitivity analysis, and actionable insights to support your decision-making process.

Transform uncertainty into actionable insights with expert Monte Carlo modeling.

Diverse Application Areas are capture

Monte Carlo simulation applications span diverse industries and research domains. Our team has expertise in financial risk modeling and portfolio analysis, pharmaceutical clinical trial simulation, engineering reliability analysis, environmental impact assessment, agricultural yield prediction, medical imaging analysis, and scientific research applications. We customize Monte Carlo solutions for your specific domain, whether you’re in finance, healthcare, manufacturing, energy, or academic research. Our domain-specific expertise ensures simulations are tailored to industry best practices and regulatory requirements.

Whatever your industry, we have the expertise to deliver results.

Need Fast a Turnaround ?

Book a Consultation now and talk directly to an expert who knows your project best.

Trending revenue forecasting resources

The Revenue Hero’s Journey

In today’s increasingly complex selling landscape, your growth strategy needs a hero. Revenue Heroes deliver accurate forecasts,…

How to Proactively Diagnose Deal Risks in Your Pipeline and Increase Efficiency

Learn how to connect your sales activities with outcomes to identify the most effective workflows — and stay ahead of risks.

Take the Guesswork out of Forecasting with Outreach Commit

Outreach Commit delivers real-time pipeline analysis and buyer engagement signals to bring science to the art of forecasting.

Get the full bouquet of Statistics & Math programming solutions from our team.

A decision to pitch with us offers you an array of expert services to firm-up your statistical and mathematical programming solutions.