Caroline Dietrich, PhD

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Biostatistician at Karolinska Institutet

Caroline Dietrich is a biostatistician with over 15 years of experience working in register-based epidemiological research. She joined Red Door Analytics part-time in March 2023 as Principal Biostatistician, before becoming Director of Applied Biostatistics in July 2023, and Executive Director of Biostatistics in August 2024. Since January 2025, Caroline has moved over to an Academic partner role, remaining in the Cancer Epidemiology group at the Clinical Epidemiology Division (Department of Medicine Solna, Karolinska Institutet), where she works on clinical research within lymphoma and colorectal cancer, and statistical methods development with a particular focus on survivorship and methods for multi-state modelling.

Education

PhD in Medical Sciences, Karolinska Institutet, Sweden, 2018 with thesis Survivorship in Hodgkin lymphoma: childbearing and treatment-related disease
MSc in Mathematical Statistics, Stockholm University, Sweden, 2009

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Latest News from RDA

Our Contributions to EHA 2026 in Stockholm

We’re excited to announce that our team contributed to six abstracts at this year’s EHA Congress, held right here in Stockholm. The contributions span both lymphoma and myeloma/MGUS research, including one oral presentation, and reflect our ongoing work in haematological malignancies. A big thank you to the entire team involved in these projects. Lymphoma […]

New Publication in Blood Cancer Journal

This large, prospective population-based study from Iceland investigated whether SARS-CoV-2 vaccination affects M protein trajectories in over 1,800 individuals with MGUS or smoldering multiple myeloma (SMM). Using linear mixed-effects models with patient-specific trajectories, flexible spline-based age modelling, and standardised marginal comparisons, the study found that annual increases in M protein levels were small and similar […]

New Publication in Statistics in Medicine

In this recent article, the authors present a biologically motivated natural history model of tumour growth and metastatic progression that directly incorporates the effects of hormonal therapy. By embedding treatment within the mathematical framework, the model captures treatment duration, latent metastatic growth, and the seeding process in ways that traditional statistical methods cannot. The work […]

New Publication in European Urology Oncology

In our recent publication, we investigated the dynamic relationship between quality of life (QoL) and disease progression or death in metastatic hormone-sensitive prostate cancer (mHSPC), using data from two large phase III randomised trials—ARASENS and ARANOTE. By applying joint models that simultaneously analyse longitudinal QoL trajectories and time-to-event outcomes, the study shows that patients receiving […]

Our Contributions to EASL 2026 in Barcelona

We’re excited to announce that our team contributed to six abstracts at this year’s EASL Congress in Barcelona, reflecting our ongoing work in hepatology. A special thanks to Dr Rickard Strandberg for his contributions to these projects. List of Abstracts at EASL 2026 Potential of reflex testing with the CORE model triggered by liver enzyme abnormalities to […]

New Publication in BMC Medical Research Methodology

In our latest publication, we developed a new methodological approach to obtain fair comparisons of survival probabilities (and differences thereof) across study clusters such as hospitals, regions or other hierarchical units. The proposed approach combines posterior prediction of the random effects with regression standardisation to account for differences in the case-mix distribution between the clusters. […]

New Publication in Drug Discovery Today

Check out the latest position piece published in Drug Discovery Today on the use of open-source software in the pharmaceutical industry—a topic of growing importance as the sector undergoes a major transformation in how statistical analyses are conducted and validated. As part of his work at Red Door Analytics, Dr Alessandro Gasparini contributed to this publication […]

New Publication in the Journal of the American Heart Association

In our latest publication, we used Medicare administrative data to examine the relationship between neighbourhood deprivation and survival outcomes following coronary artery bypass grafting (CABG). The results showed that while patients from less deprived neighbourhoods consistently had better survival rates compared to those from highly deprived areas, this survival advantage varied significantly across racial and […]

New Publication in the European Heart Journal

In our latest publication we used Swedish register data to examine familial aggregation of congenital heart defects (CHD) across kinships and generations. The authors found clear dose-response patterns between CHD risk and the number of affected relatives. Recurrence patterns varied by kinship type and degree of genetic relatedness, with the strongest associations observed among mothers, […]

New Publication in The International Journal of Cancer

In our latest publication, we used Swedish register data to investigate how the timing of disease progression affects survival in patients with mantle cell lymphoma (MCL). MCL is an aggressive form of lymphoma characterized by frequent relapses, making it crucial to understand the long-term impact of disease progression on patient outcomes. The current study includes […]

New Publication in Leukemia

In our latest publication, we investigated infection risk in individuals with smoldering multiple myeloma (SMM) using data from the iStopMM study in Iceland. SMM is an asymptomatic precursor condition to multiple myeloma, affecting approximately 0.5% of people over 40 years old (Thorsteinsdóttir et al., 2023). This study includes 188 individuals with SMM from a screened […]

RDA relaunches YouTube Channel with Free Survival Analysis Course

We’re thrilled to announce that Red Door Analytics is back on YouTube! Our relaunched channel will feature free educational content for data professionals and researchers. First out is a comprehensive introductory course on survival analysis, consisting of 13 lectures and 4 practicals covering: Introduction to survival data Parametric survival models Cox’s proportional hazards model Modelling […]