This intensive course will cover all basic and advanced aspects of synthesis of evidence from studies comparing competing treatments for the same health condition. By the end of this course participants will have an understanding of the role and potential of network meta-analysis, the principles, steps and statistical methods involved; the biases that can distort indirect comparisons and network meta-analysis.
This course is aimed at statisticians, epidemiologists and other quantitatively-minded researchers who are involved or may be involved in the future in the preparation of HTA submissions. Knowledge of systematic reviews and the fundamentals of meta-analysis is expected of all participants.
The course will consist of lectures, practical examples and discussions. Participants will gain practical experience in performing analyses in R software and the freely available web application CINeMA.
Assumptions underlying indirect comparisons
Statistical methods in network meta-analysis
CINeMA: a framework and software to evaluate Confidence in Network Meta-Analysis
PSI, the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI) and the Biopharmaceutical Section of the American Statistical Association (ASA) are jointly organising a webinar on Estimands in Practice. Speakers from regulatory authorities (FDA and EMA) and industry will present on their experience on this topic to date.
Discover your potential by working as a Covance Senior Principal / Principal Biostatistician. You'll enjoy a varied role working for different sponsors across several therapeutic areas, leading projects and mentoring junior members of the department.
Biometrics at AstraZeneca provides the data that influences decisions on how we roll back the frontiers of science to bring life-changing medicines to the world. We are at the heart of design, analytics and interpretation of AstraZeneca’s portfolio.