LabCompass

Wanzhu Tu

Health Professions · Indiana University

Publications

455

Citations

14,241

Est. group size

~1

Recurring co-author estimate

Active years

32

Publishing since 1995

Research summary
AI-generated

Wanzhu Tu develops and applies statistical methods for analyzing complex health data, including techniques for longitudinal (repeated-measures) data, survival and time-to-event analysis, and estimating treatment effects. This methodological work is frequently applied to clinical and public health problems such as hypertension, liver disease, cancer, and dementia care in nursing homes.

Biostatistics and statistical methodologyLongitudinal and time-to-event data analysisCausal inference and treatment effect estimationClinical trials and health outcomesAging, palliative, and dementia care research

Publication activity has gradually declined from around 35 papers per year in 2017 to roughly 15-23 per year in recent years, averaging about 15 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 15.0/year recently
2017: 35 publications35172018: 34 publications182019: 25 publications192020: 25 publications202021: 15 publications212022: 17 publications222023: 17 publications232024: 23 publications242025: 16 publications252026: 2 publications26
Recent publications
Publishes in
  • PMC×15
  • Author eBooks×11
  • Journal of Adolescent Health×10
  • Innovation in Aging×7
  • Journal of the American Geriatrics Society×6

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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