Robert Emprechtinger · Independent consultant

Reliable analysis.
Research software that works.

I help research teams and healthcare organizations turn complex data into reproducible analyses, usable software and evidence they can assess. My work connects statistics, evidence synthesis and software development.

Discuss your project

Statistical analysis

  • Data preparation: Clean, structure and check your data before analysis.
  • Statistical modelling: Choose suitable methods, quantify uncertainty and examine sensitivity.
  • Reproducible results: Documented code, figures and statistical reports your team can review.

Study planning & evidence synthesis

  • Study planning: Define research questions, sample sizes and statistical analysis plans.
  • Meta-analysis: Combine study findings using pairwise and network meta-analysis.
  • HTA support: Statistical input for systematic reviews and health technology assessments.

Research software & automation

  • R and Python: Turn recurring calculations into reusable packages and workflows.
  • Web applications: Make analytical tools accessible through a browser or API.
  • Automation: Data checks, reporting and documented handover for your team.

AI evaluation & prototyping

  • Feasibility: Assess whether an AI approach suits your question and data.
  • Evaluation: Compare model outputs with expert ratings and existing methods.
  • Prototypes: Build focused workflows with error analysis and clear points for human review.

Selected work, with sources

Published software and contributions to research and health technology assessment. Each example links to the underlying work.

Journal of Clinical Epidemiology (2025)

Assessing the effectiveness of metaHelper: A web application for statistical transformations

My role: First author of a randomized study evaluating an R package and web application for statistical transformations. Among 26 participants, the estimated probability of a correct answer was 85% with metaHelper versus 31% in the control group. The evaluation was conducted by the development team.
Diagnostics (2023)

Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip

Contribution: Co-author of a study comparing AI-based measurements with human readers using a Bayesian mixed model. A published example of statistical evaluation in medical AI.
IQWiG HTA report (2024)

Assessing apps for generalized anxiety disorder

Contribution: Named co-author, affiliated with State of Health, of “Generalisierte Angststörung: Helfen Apps?” alongside colleagues from Gesundheit Österreich and other contributors. Full report available as a German-language PDF.
LLM evaluation · Preprint (2026)

AI-assisted assessment of responsible research practices

Contribution: Co-author of a preprint comparing LLM assessments of scientific publications with human ratings, including validation and cost-benefit analysis. This is a preprint, rather than a peer-reviewed journal article.

Software you can explore

Practical applications of statistical methods and software development.

MetaHelper.eu

Statistical transformations for meta-analysis. An open-source R package and web application for effect-size conversions, standard errors and related calculations. I am an author and the maintainer of the R package. Its evaluation was published in the Journal of Clinical Epidemiology.

Use the web tool →

AiClearSky.com

Intent verification in operational communication. An AI project exploring communication on land, at sea and in the air. Developed within the INiTS high-tech incubator programme.

Visit Project →

Your direct contact

Robert Emprechtinger

I work independently as a statistical consultant and software developer under State of Health. My background combines a psychology degree from the University of Vienna, nursing training and research in evidence-based medicine and health services.

My published work includes collaborations with researchers at the University for Continuing Education Krems and the BIH QUEST Center at Charité. I connect methodological work with the practical tools needed to carry it out.

How we work together

  1. Define the question. We discuss the data, intended use and deliverables. Where feasibility is uncertain, we start with a separately scoped assessment.
  2. Agree milestones. Each stage has a fixed fee, a clear scope and agreed acceptance criteria.
  3. Review and hand over. You receive the agreed results, code and documentation. Each milestone is invoiced after acceptance.

Based in Austria. Available for remote collaboration.

What would you like to solve?

Send me a short description of your question, the available data and your timeline. We can then define a useful first step.

Email Robert