Pharmaceutical Teams - Critical Appraisal & Evidence-Based Training

These bespoke courses are designed to meet your therapeutic area, strategic goals, and audience level—ranging from introductory foundations to advanced analytical concepts.

Core Modules Include:

• Protocol Development & Scientific Rationale: Understanding the fundamentals of designing clinical trials, writing protocols, and justifying study hypotheses and outcomes.
• Clinical Study Design & Methodology: Mastery of Randomized Controlled Trials (RCTs), cohort studies, case-control studies, and pragmatic trials, allowing teams to identify the strengths and limitations of each design type.
• Understanding Statistical Methods: Detailed coverage of key statistical techniques, such as hypothesis testing, confidence intervals, p-values, and how to identify and address bias, confounding, and statistical pitfalls.
• Data Interpretation, Clinical Relevance & Critical Thinking: Developing the ability to interpret clinical data accurately, evaluating the applicability of results to real-world settings, and fostering evidence-based decision-making.
• Scientific Communication & Responding to Evidence Challenges: Equipping teams to effectively present data to stakeholders, respond to evidence challenges, and communicate clinical results clearly and credibly.

Courses are delivered using real-world examples, practical exercises, and peer-reviewed literature from your field, ensuring that the training directly translates into effective and impactful medical engagement.

Real-World Evidence (RWE) & Advanced Analytic Techniques

As Real-World Evidence (RWE) continues to play an integral role in regulatory submissions, payer evaluations, and clinical strategy, our training offers dedicated modules on interpreting and appraising RWE. These sessions are ideal for teams involved in generating or assessing RWE or working in market access, medical affairs, and late-phase research.

Topics Covered Include:

• Propensity Score Methods: Matching, stratification, and inverse probability of treatment weighting (IPTW).
• Matching-Adjusted Indirect Comparisons (MAIC) and Indirect Treatment Comparisons: Understanding these advanced analytic techniques and their application in comparing treatments across studies.
• Assessing RWE Limitations & Biases: Identifying strengths, weaknesses, and biases inherent in observational studies and understanding how to mitigate them.
• Practical Interpretation & Critique of Published RWE: Engaging with real-world case studies and journal publications to evaluate evidence quality, generalisability, and clinical utility outside randomized controlled settings.

Participants will work through real-world case studies, gaining hands-on experience in evaluating evidence quality, generalisability, and clinical utility.

Why Partner With Us

With over 25 years of experience training global pharmaceutical organisations, we bring deep expertise in evidence-based practice, scientific communication, and healthcare engagement.