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Updated Methodology for Projecting U.S.- and State-Level Cancer Counts for the Current Calendar Year: Part I: Spatio-temporal Modeling for Cancer Incidence.

Benmei LiuLi ZhuJoe ZouHuann-Sheng ChenKimberly D MillerAhmedin JemalRebecca L SiegelEric J Feuer
Published in: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2021)
In addition to predicting the unavailable state-level historical incidence counts for cancer surveillance, the updated algorithms have broad applicability for disease mapping and other activities of public health planning, advocacy, and research.
Keyphrases
  • public health
  • papillary thyroid
  • squamous cell
  • machine learning
  • childhood cancer
  • squamous cell carcinoma
  • mass spectrometry