LabCompass

Yong Zang

Mathematics · Indiana University

OpenAlex ORCID
Statistical Methods in Clinical TrialsGenetic Associations and EpidemiologyOptimal Experimental Design MethodsMicroscopic ColitisCancer Genomics and Diagnostics

Publications

182

Citations

2,705

Est. group size

~1

Recurring co-author estimate

Active years

41

Publishing since 1986

Research summary
AI-generated

Yong Zang develops statistical methods for the design and analysis of clinical trials, with particular emphasis on early-phase (Phase I-II) studies that identify optimal drug doses, including for drug combinations, targeted therapies, and immunotherapies. The work spans experimental design methodology and applications in cancer treatment and genomics, often in collaboration with biomedical researchers.

Clinical trial design (Phase I-II dose optimization)Adaptive and generalized trial designsBiostatistics for cancer researchStatistical experimental designGenomics and cancer treatment analysis

Publication activity has remained fairly steady over the past decade, averaging around 14 per year in recent years with some year-to-year fluctuation.

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

Publication cadence
Publications per year over the last 10 years — averaging 13.6/year recently
2017: 13 publications172018: 12 publications182019: 10 publications192020: 21 publications21202021: 15 publications212022: 21 publications21222023: 17 publications232024: 14 publications242025: 15 publications252026: 1 publication26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×11
  • Figshare×10
  • International Journal of Radiation Oncology*Biology*Physics×8
  • Journal of Clinical Oncology×6
  • Pharmaceutical Statistics×5

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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