Empowering decisions with robust statistical analysis

In the data-driven world of healthcare, statistical analysis is essential. It helps us understand epidemiology, treatment effects and treatment comparisons, as well as inform economic models. Our statistical analysis service helps clients, from industry to public sector organisations, transform raw data into actionable insights. This provides the evidence needed to inform investment, access, and adoption decisions, as well as to guide public health strategy and policy.

How can YHEC’s expertise in statistical analysis help you?

By applying the right statistical methods to your clinical trial data, real-world data, and public health datasets, we help you to:

  • Inform epidemiological analyses: Provide tools to model disease progression and identify key risk factors and trends in populations.
  • Quantify treatment effects: Accurately measure the impact of interventions, providing a clear understanding of their clinical value and allowing treatment comparisons.
  • Inform economic models: Ensure your economic models are built upon the most reliable and relevant data. This directly influences their robustness and credibility for both HTA submissions and public sector resource allocation decisions.
  • Strengthen your evidence base: Move beyond assumptions by grounding your arguments in data-driven insights.

Why partner with YHEC?

Choosing YHEC for your statistical needs means partnering with a team that offers:

Our strong track record in statistical analysis is evident in our numerous publications in peer-reviewed journals. This public validation of our work demonstrates our commitment to delivering robust methods and adhering to gold-standard methodologies. This ensures you can trust the scientific rigour of our analyses, whether for a commercial submission or a public health study.

We don’t believe in a one-size-fits-all approach; we offer a comprehensive range of statistical services, tailoring our approach to meet your specific data and research needs. We tailor our approach to meet your specific data and research needs. For example, from descriptive summaries of patient data for a local health system to complex indirect comparisons for an HTA submission.

By precisely quantifying treatment effects and rigorously analysing your clinical trial data, we provide the highest quality inputs for your economic models. This ensures that the economic arguments for your health interventions are robust, credible, and based on the best available evidence. This strengthens your position for investment, market access, and adoption, as well as for public health policy and planning.

We are adept at utilising advanced statistical tools and software (such as R and Python) to deliver sophisticated and flexible analytical solutions. We are always exploring how to apply cutting-edge statistical approaches to complex health economic challenges, including how to apply these to large-scale NHS datasets to address public health questions.

Our team provides comprehensive training in statistical methods. We have previously delivered this to both industry clients and international HTA boards. This equips them with the skills they need to confidently interpret, apply, and communicate statistical findings, ensuring they can make informed decisions based on robust data analysis.

Explore YHEC's recent publications in this area

Conference proceeding

Recommended Standards for Managing and Reporting Missing Utility Data for Health Technology Appraisal

YHEC authors: Neil Hansell
Publication date: November 2024
Conference: ISPOR EU, Barcelona
Type of conference proceeding: Podium

Abstract

OBJECTIVES: Health technology assessment (HTA) in the UK often requires that health-related quality of life is considered in a cost-utility analysis (CUA). Most studies contain missing data at some level....

Conference proceeding

From Data to Decisions: Leveraging Statistics to Improve Healthcare Decision-Making

YHEC authors: Joe Moss
Publication date: September 2025
Conference: Royal Statistical Society Conference
Type of conference proceeding: Podium

Abstract

Health economics is an important field not just in the UK but globally. Decision-makers can use it to prioritise resources used in healthcare systems to maximise population health whilst ensuring...

Conference proceeding

Investigating Input Correlation in Probabilistic Sensitivity Analysis

YHEC authors: Matthew Taylor, Erin Barker, Harriet Fewster, Emily Gregg
Publication date: November 2024
Conference: ISPOR EU, Barcelona
Type of conference proceeding: Poster

Abstract

OBJECTIVES: Probabilistic sensitivity analysis (PSA) is used to characterize uncertainty in cost-effectiveness models. Inputs in PSA are often varied independently even when they may be correlated. This study investigated the...

Talk to our expert

For more information, talk to our Principal Statistician – Dr Joe Moss.

Joe Moss is sat behind a desk with his hands on the keyboard, smiling at the camera. The photo is taken through the door frame of the office, at an angle to the desk