BIOSTATISTICS TRAINING COURSES
CPD accredited Biostatistics Courses in Advanced Topics for MedTech
Elevate your expertise with our industry-driven biostatistics courses, designed to provide you with a thorough understanding of the design and analysis of medical device clinical trials and R&D studies. Our courses focus on the unique challenges and considerations specific to the MedTech industry, ensuring you gain practical and relevant knowledge.
In the rapidly evolving MedTech landscape, regulatory compliance is paramount. Our curriculum places a strong emphasis on understanding and navigating the complex regulatory environment, including adherence to standards set by bodies such as the FDA, EMA, and ICH. You’ll learn how regulatory concerns directly inform biostatistical practices, ensuring that your analyses not only meet scientific rigor but also comply with global regulatory requirements.
Our industry-driven biostatistics courses will help you gain an insight into the design and analysis of medical device clinical trials and R&D studies, with a particular focus on their unique concerns. In today’s environment, knowing how to advance your own knowledge and adapt your skills on a case-by-case basis as required by the demands of specific projects is key. Our comprehensive curriculum not only covers essential biostatistical methods but also emphasises the development of adaptable skills.
Whether you are a graduate biostatistician embarking on your career, looking to transition into a new industry niche, or a senior professional at a MedTech start-up aiming to bring a new product to market, our courses offer invaluable insights and skills to help you succeed. Understanding the regulatory landscape is crucial for ensuring the success and compliance of medical devices, making this knowledge a valuable asset for any biostatistician.
UPCOMING COURSES
Advanced Biostatistical Methods for MedTech: Evaluating Diagnostics
This course addresses the advanced statistical techniques essential for modern diagnostic devices, which increasingly leverage novel biomarkers, imaging tools, and AI-driven algorithms. Participants will learn specialised approaches to sensitivity and specificity analysis, methods for handling verification bias, and statistical techniques suited to the unique challenges of diagnostic accuracy across diverse patient populations and clinical settings. With a focus on robust data interpretation and regulatory readiness, this course equips biostatisticians with the skills needed to validate innovative diagnostic methods and produce reliable, actionable evidence.
Advanced Biostatistical Methods for MedTech: Therapeutic Device Studies
This course explores specialised biostatistical techniques for the evaluation of a variety of therapeutic devices, emphasising sophisticated methods tailored to efficacy, safety, and precision. Participants will engage with advanced modelling strategies for handling multi-site variability, longitudinal data, and time-to-event analyses, essential for robust, high-stakes data interpretation in therapeutic device trials. Designed for experienced biostatisticians, the course offers in-depth coverage of methods that meet the rigorous demands of pivotal trials and support regulatory frameworks.
Advanced Biostatistical Methods for MedTech: Clinical Trials in Aesthetic Medicine
Specialised for aesthetic medical devices, this course examines advanced biostatistical methods tailored to the unique challenges of trials involving subjective and patient-reported outcomes, as well as stringent safety and adverse events monitoring. Participants will explore hierarchical modelling, handling high variability, multivariate techniques to capture nuanced treatment effects, and methods for assessing device safety and adverse events over time. With an emphasis on statistical rigour for both safety and efficacy, this course equips biostatisticians to meet the distinctive analytical requirements of aesthetic device trials and regulatory standards.
Bayesian Simulation & Modelling in R for Biostatisticians
This course is suited to qualified biostatisticians who are looking to add Bayesian modelling and simulation using MCMC methods to their tool-belt using R. Applications to meta-analysis, sample size calculation and other tasks relevant to clinical trials in the life science industry are covered.
TESTIMONIALS