Clinical Study Design

We work closely with your team to ensure that study objectives and endpoints are translated into a design that is both robust and realistic to execute.

Clear study objectives

A precise definition of the study objective forms the basis for all further design choices and supports clear interpretation of results.

Endpoints

Selection of appropriate primary and secondary endpoints, including surrogate endpoints and biomarkers, with attention to clinical relevance, measurability and regulatory guidelines.

Study design methodology

Support in selecting suitable designs, such as superiority, non-inferiority, equivalence, crossover or adaptive designs, aligned with study objectives and accepted methodological standards.

Study population

Definition of inclusion and exclusion criteria to ensure an appropriate and well-characterised trial population.

Sample size and power

Sample size calculations based on statistical assumptions, ensuring adequate power while considering feasibility and regulatory compliance.

Control of variability

Identification of stratification factors and other design elements to reduce variability and bias, contributing to reliable and credible outcomes.

Common challenges we help prevent

• Unclear study objectives leading to inconclusive results
• Poorly defined endpoints
• Overly complex designs reducing feasibility
• Incorrect sample size assumptions
• Misalignment with regulatory requirements

The result

An optimized study design that is aligned with regulatory expectations, ensuring scientific validity, feasibility, efficiency and reducing risks.

How we work

Our approach is direct and transparent. We focus on what is necessary, avoid unnecessary complexity and ensure that the statistical components of your study are clearly defined and aligned with the overall objectives.