Rate My Professor Paul Dickman

Dickman's research specializes in the development and application of statistical methods for register-based epidemiology, with a primary focus on cancer patient survival analysis, including the estimation and modeling of relative and net survival using flexible parametric models, cure models, and multistate models. Leading the Statistical Methods in Epidemiology research group, he has contributed to over 200 publications in high-impact journals such as the British Journal of Cancer, International Journal of Cancer, and Statistics in Medicine. Notable publications include "Interpreting Trends in Cancer Patient Survival" (Acta Oncologica, 2006), "A multistate model incorporating estimation of excess hazards and multiple time scales" (Statistics in Medicine, 2021), "Cancer survival statistics for patients and healthcare professionals – a tutorial of real-world data analysis" (British Journal of Cancer, 2021), and "Improving communication of cancer survival statistics-feasibility of implementing model-based algorithms in routine publications" (British Journal of Cancer, 2023). His work has influenced cancer survival reporting and health technology assessments. Dickman has supervised eight doctoral theses as main supervisor and eighteen as co-supervisor, secured grants from the Swedish Cancer Society and Swedish Research Council, and developed widely used Stata commands (strs and stnet) for relative survival analysis. In recognition of his efforts in advancing biostatistics education and research, he was awarded the Statistical Promoter of the Year 2023 by the Swedish Statistical Society. Additionally, he has held key roles such as President of the Swedish Society for Medical Statistics (2016-2017), guest editor for the British Journal of Cancer (2022-2023), and member of various scientific evaluation committees.