Quantifying temporal trends of age-standardized rates with odds

• Main Authors: Tan C.S., Støer N., Ning Y., Chen Y., Reilly M.
• Other Authors: SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
• Format: Article
• Published: 2020
• Subjects: age structure; cancer; disease incidence; epidemiology; mortality; numerical method; public health; quantitative analysis; temporal variation; trend analysis; age standardized rate; Article; cancer incidence; cancer mortality; cancer screening; epidemiological data; human; mortality rate; population risk; priority journal; risk factor; trend study; global health; incidence; neoplasm; odds ratio; standard; statistical analysis; statistical model; Data Interpretation, Statistical; Epidemiologic Methods; Global Health; Humans; Incidence; Linear Models; Logistic Models; Models, Statistical; Neoplasms; Odds Ratio; Reference Standards
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/175349
• Institution: National University of Singapore

10.1186/s12963-018-0173-5