Quantifying temporal trends of age-standardized rates with odds

10.1186/s12963-018-0173-5

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Bibliographic Details
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
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/175349
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1753492023-09-06T08:25:18Z Quantifying temporal trends of age-standardized rates with odds Tan C.S. Støer N. Ning Y. Chen Y. Reilly M. SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) 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 epidemiology 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 10.1186/s12963-018-0173-5 Population Health Metrics 16 1 18 2020-09-09T09:49:55Z 2020-09-09T09:49:55Z 2018 Article Tan C.S., Støer N., Ning Y., Chen Y., Reilly M. (2018). Quantifying temporal trends of age-standardized rates with odds. Population Health Metrics 16 (1) : 18. ScholarBank@NUS Repository. https://doi.org/10.1186/s12963-018-0173-5 1478-7954 https://scholarbank.nus.edu.sg/handle/10635/175349 Unpaywall 20200831
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic 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
epidemiology
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
spellingShingle 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
epidemiology
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
Tan C.S.
Støer N.
Ning Y.
Chen Y.
Reilly M.
Quantifying temporal trends of age-standardized rates with odds
description 10.1186/s12963-018-0173-5
author2 SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
author_facet SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
Tan C.S.
Støer N.
Ning Y.
Chen Y.
Reilly M.
format Article
author Tan C.S.
Støer N.
Ning Y.
Chen Y.
Reilly M.
author_sort Tan C.S.
title Quantifying temporal trends of age-standardized rates with odds
title_short Quantifying temporal trends of age-standardized rates with odds
title_full Quantifying temporal trends of age-standardized rates with odds
title_fullStr Quantifying temporal trends of age-standardized rates with odds
title_full_unstemmed Quantifying temporal trends of age-standardized rates with odds
title_sort quantifying temporal trends of age-standardized rates with odds
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/175349
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