Emma Hawe, MSc

Senior Director, Data Analytics and Design Strategy

MSc, Applied Statistics
Corpus Christi College, Oxford University, Oxford, United Kingdom

BSc, Statistics
University College London, London, United Kingdom

Emma Hawe, MSc, is a Director with Data Analytics and Design Strategy at RTI-HS. She has over 17 years of experience as a statistician within consulting, regulatory, and academic environments. Ms. Hawe is experienced in the application of novel and standard statistical methodologies to large medical/biological data sets in diverse therapeutic areas. Her role at RTI-HS includes planning, executing, and interpreting the analysis of a variety of studies, including epidemiology, health economics, and clinical trials. Prior to joining RTI-HS, Ms. Hawe was Head of Statistics at the Office of Health Economics, where she managed a variety of different projects, including burden-of-illness studies, multicriteria decision analysis, and policy-orientated projects for pharmaceutical companies, pharmaceutical trade associations, and overseas governments. Ms. Hawe has conducted many types of statistical analyses, including network meta analysis, survival analysis, factor analysis, analysis of utilities including mapping, multivariate modeling, and database analysis including the analysis of Hospital Episode Statistics (HES). She has successfully led and managed projects for a variety of different clients and contributed to many more. In addition, Ms. Hawe has experience with a variety of different statistical packages and programming languages, including R, STATA, SAS, and SQL. Ms. Hawe is author of the Office of Health Economics guide to UK health and health care statistics, a comprehensive guide to health statistics in the UK, and author of more than 50 publications in peer-reviewed journals. Previous positions have involved the statistical analysis of the combined effects of genetics and the environment on cardiovascular disease, and the study of births and infant mortality data in England and Wales over a 20-year period.