LabCompass

Douglas Landsittel

Medicine · Indiana University

Publications

132

Citations

6,400

Est. group size

Recurring co-author estimate

Active years

33

Publishing since 1994

Research summary
AI-generated

Douglas Landsittel works at the intersection of biostatistics and medicine, developing statistical and machine-learning methods and applying them to a wide range of clinical questions. His applied work spans kidney disease and transplantation, critical illness (including COVID-19 respiratory failure), liver cancer treatment outcomes, and various clinical trials, often using data-analysis techniques such as propensity-score matching and proteomic signatures. He also contributes methodological research on statistical testing and measuring the complexity of neural networks.

Biostatistical and machine-learning methodologyKidney disease and transplantation outcomesCritical care and COVID-19 respiratory illnessLiver cancer treatment and transplant outcomesClinical trial design and analysis

Publication activity has been fairly steady across the decade at roughly five to six papers per year, with a modest dip in the most recent years (about 4.4 per year over the last five years).

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.4/year recently
2017: 6 publications172018: 6 publications182019: 5 publications192020: 6 publications202021: 7 publications7212022: 5 publications222023: 6 publications232024: 4 publications242025: 3 publications252026: 4 publications26
Recent publications
Publishes in
  • Journal of the American Society of Nephrology×4
  • Kidney International×4
  • Critical Care Explorations×4
  • F1000Research×3
  • The American Journal of Gastroenterology×2

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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