I am a mathematical statistician and Docent in clinical epidemiology with more than 15 years’ experience of population-based cancer research. My main methodological interests are in statistical and epidemiological methods used for investigating population-based cancer patient survival and cancer survivorship issues, specifically in lymphoma. I am based in the cancer epidemiology group at the Division of Clinical Epidemiology, Department of Medicine, Solna.
At present I am supervising 4 PhD students who work with various projects related to lymphoma survival, late effects after lymphoma treatment, childbearing after a diagnosis or lymphoma and cancer risk/prognosis after organ transplantation. I am also a keen teacher and frequent lecturer at the clinical research schools hosted by the Division of Clinical Epidemiology.
In 2021-22 I will work part time in the Clinicum project, which aims to provide a platform for methodological and research infrastructure support in clinical research at Karolinska Institutet and Region Stockholm.
Joshua Entrop has a Master degree in public health and studies childbearing patterns after modern-day intensive immunochemotherapy in young Hodgkin and non-Hodgkin lymphoma survivors. Joshua commenced his graduate studies in 2020 and will perform the studies in collaboration with the epidemiology working group of the Nordic lymphoma group. His project is supported by the Swedish Cancer Society and Åke Wibergs stiftelse.
Sara Harrysson is an MD with a specific interest in survival, relapse and cardiac events after a diagnosis of aggressive B-cell lymphoma. Her research focus is specifically to investigate treatment outcome and predictors in relapsed and treatment-refractory Diffuse Large B-cell Lymphoma by clinical, demographic and biological characteristics, as well as the incidence, characteristics and timing of cardiovascular events (particularly acute coronary syndrome) among anthracycline-treated patients.
Henrik Benoni is an MD investigating cancer risk and prognosis following solid organ transplantation. His research aims to identify determinants of cancer risk among kidney transplant recipients and to estimate absolute risks and timing of increased cancer risks in a Nordic cohort of kidney transplant recipients. His PhD studies also look into if solid organ transplant recipients have a worse cancer prognosis than the general cancer population (unexposed to organ transplantation)
Joel Joelsson is an MD studying survival and surviorship issues among patients with Diffuse Large B-cell Lymphoma (DLBCL). Specifically Joel's studies address the risk for secondary solid tumours and treatment-related myeloid neoplasms after treatment for Diffuse Large B-cell Lymphoma.
Past PhD students
Sara Ekberg has a background in mathematical statistics and studied patterns and trends in the incidence, prevalence and survival as well as survivorship issues among patients diagnosed with the most common non-hodgkin lymphoma subtypes in Sweden, with a focus on Diffuse Large B-cell Lymphoma. Her studies originated in data from the Swedish lymphoma register and were conducted in collaboration with researchers from the Swedish Lymphoma Group. Sara defended her thesis: Long-term survival and survivorship in non-Hodgkin Lymphoma patients in Sweden in January 2021.
Elsa Brånvall is a specialist in hematology and internal medicine studied the role of medication history in the etiology and prognosis of lymphoma subtypes. Specifically her studies investigated if the use of aspirin or NSAIDs or cholesterol-lowering medications (such as statins) decreased the risk of developing lymphoma, and if they were associated with an improved the prognosis of lymphoma. Elsa defended her thesis: Common medications in the risk and prognosis of lymphoid neoplasms and epidemiology of primary CNS lymphoma in December 2020.
Caroline Weibull is a mathematical statistician with a research focus on survivorship issues after Hodgkin lymphoma. The specific aims were to describe trends in childbearing by clinical characteristics and to investigate the association between pregnancy and risk for relapse among women in remission following a diagnosis of Hodgkin lymphoma. Her studies also aimed to shed light on if the decline in treatment-related mortality of diseases of the circulatory system is associated with less toxic treatments or improved follow-up and care. Her thesis work included methodological development as well as applied statistical work. Caroline defended her thesis: Survivorship in Hodgkin Lymphoma: childbearing and treatment-related disease in November 2018.
Lingjing Chen has a background in medicine and public health and completed her thesis, entitled: Rectal cancer surviorship: work loss and long-term morbidity in December 2017.
I am a specialist in statistical methods for competing risks and frequently invited to give presentations on this topic. I have for example been invited to give lectures and courses aimed towards both statisticians and non-statisticians at, for example, the University of Lund (Sweden), the University of Umeå (Sweden), The Arctic University of Tromsö (Norway), the Regional Cancer Center in Stockholm, the annual meeting of the Network of Epidemiology and Nutrition, as well as the Summer School on Modern Methods in Biostatistics and Epidemiology (Italy) organized jointly by Harvard School of Public Health, University of Milano-Bicocca and Karolinska Institutet.
I also teach the fundamental principles of good research documentation practise in medical research. These lectures typically cover a wide range of topics related to data management; from practical issues related to data collection, reproducible research processes, archiving, to theoretical lectures on ethical considerations and Swedish laws that govern epidemiological research. I was also the first author of a book chapter on this topic published by Läkartidningen in 2015 (Verktyg för klinisk forskning).
Docent (Associate professor), Clinical Epidemiology (2020)
PhD Medical Science, Karolinska Institutet (2013).
Title of Thesis: Development and application of statistical methods for population-based cancer patient. (Supervisor: Paul Dickman).
MSc Mathematics, Uppsala University (2006).