Arvid Sjölander
Mathematics · Indiana University
Publications
321
Citations
8,397
Est. group size
—
Recurring co-author estimate
Active years
21
Publishing since 2006
Arvid Sjölander develops statistical methods for causal inference, which is the study of how to draw cause-and-effect conclusions from data rather than just correlations. Much of this work is applied to medical and epidemiological questions, such as evaluating treatments, understanding disease risks, and using family or sibling comparisons to isolate causes. The research combines theoretical tools (like directed acyclic graphs and Bayesian networks) with practical applications in health and clinical research.
Publication activity has grown over the last decade, rising from around 7-18 papers per year in 2017-2019 to roughly 30-37 per year in recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Inflammatory and cholesterol risks and rates of major cardiovascular events among patients with atherosclerotic cardiovascular disease in routine care
European Heart Journal Open · 2026
- Moving beyond risk ratios in sibling analysis: estimating clinically useful measures from family-based analysis
European Journal of Epidemiology · 2026
- Somatic morbidity in bipolar disorders
International Journal of Bipolar Disorders · 2026
- Evaluation of clinical utility in emulated clinical trials
European Journal of Epidemiology · 2026
- Deriving Complete Constraints in Hidden Variable Models
arXiv (Cornell University) · 2026
- Deriving Complete Constraints in Hidden Variable Models
arXiv (Cornell University) · 2026
- Explicit Specification of the Prior Probability of the Prosecutor's Hypothesis in Bayesian Networks
Lund University Publications (Lund University) · 2026
- Additional file 1 of Somatic morbidity in bipolar disorders
Figshare · 2026
- Additional file 1 of Somatic morbidity in bipolar disorders
Figshare · 2026
- Explicit specification of the prior probability of the prosecutor’s hypothesis in Bayesian networks
Law Probability and Risk · 2026
- A causal modeling perspective on decision theory
arXiv (Cornell University) · 2026
- Correction: Somatic morbidity in bipolar disorders
International Journal of Bipolar Disorders · 2026
- A causal modeling perspective on decision theory
arXiv (Cornell University) · 2026
- Long-Term Opioid Therapy Tapering and Risk of Substance Use Disorder and Overdose: Differences by Opioid Dose and Duration
Journal of General Internal Medicine · 2026
- Elucidating some common biases in randomized controlled trials using directed acyclic graphs
European Journal of Epidemiology · 2025
- arXiv (Cornell University)×17
- Nephrology Dialysis Transplantation×16
- Figshare×12
- European Journal of Epidemiology×11
- Epidemiology×9
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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