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WEBINAR – Why ITT analysis is not always the answer for estimating treatment effects in clinical trials – Dr Alan Phillips

Dr Alan Phillips, Senior Director, Biostatistics, ICON Clinical Research (Tuesday 2nd November)

For many years there has been a consensus among the Clinical Research community that ITT analysis represents the correct approach for the vast majority of trials. Recent worldwide regulatory guidance for pharmaceutical industry trials has allowed discussion of alternatives to the ITT approach to analysis; different treatment effects can be considered which may be more clinically meaningful and more relevant to patients and prescribers. The key concept is of a trial “estimand”, a precise description of the estimated treatment effect. The strategy chosen to account for patients who discontinue treatment or take alternative medications which are not part of the randomised treatment regimen are important determinants of this treatment effect. One strategy to account for these events is treatment policy, which corresponds to an ITT approach. Alternative equally valid strategies address what the treatment effect is if the patient actually takes the treatment or does not use specific alternative medication.  There is no single right answer to which strategy is most appropriate, the solution depends on the key clinical question of interest. The estimands framework discussed in the new guidance has been particularly useful in the context of the current COVID-19 pandemic and has clarified what choices are available to account for the impact of COVID-19 on clinical trials. Specifically, an ITT approach addresses a treatment effect that may not be generalisable beyond the current pandemic.

Dr. Alan Phillips is Senior Director Biostatistics providing consultancy services to the Pharmaceutical Industry. Prior to this role, he was Vice President Head of Biostatistics for ICON Clinical Research where he directed and managed the global biostatistics resources based in US, Europe and Asia Pac. With over 35 years of experience in biostatistics, Dr. Phillips has extensive knowledge of clinical trials, statistical methodology and world wide statistical regulatory requirements. Prior to joining ICON, Dr. Phillips was with Wyeth Research for over 12 years and served as Senior Director, Clinical Biostatistics. Subsequently Dr Phillips has both CRO and Pharma experience. Dr Phillips has experience of regulatory submissions in Biosimilars (Rituximab, Herception), CNS (depression, insomnia, Generalized Anxiety Disorder), Cardiovascular (Hypertension), Oncology (Breast Cancer) and Women’s Health (Hormone Replacement Therapy, Oral Contraceptives). Dr. Phillips frequently represents sponsors at US and EU scientific advisory and approval meetings. Dr. Phillips received his B.Sc. degree in mathematics from the University of Exeter and his Ph.D. in statistics from the University of Birmingham.  He has published in a number of areas including adaptive trial designs, patient recruitment modelling, regulatory statistical challenges (eg missing data, multiplicity), sample size estimation, and statistical principals for clinical trials.  Dr. Phillips is affiliated with the Royal Statistical Society (RSS) and Statisticians in the Pharmaceutical Industry (PSI). In 2012, Dr Phillips was made an Honorary member of PSI in recognition of his scientific contributions to the organisation. Dr Phillips is also an Adjunct Associate Professor at University College Dublin and visiting Senior Lecturer at King’s College.

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