Todd A Norwood
Biographic Data
| ID | 5413853 |
|---|---|
| NAME | Todd A Norwood |
| GIVEN NAMES | Todd A |
| FAMILY NAME | Norwood |
| SIGNATURE | NORWOOD T A |
| AFFILIATIONS | Cancer Care Ontario |
| ORCID | 0000-0002-9604-4774 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
A Bayesian shared components modeling approach to develop small area indicators of social determinants of health with measures of uncertainty
Estimating micro area behavioural risk factor prevalence from large population-based surveys
This is among the first studies to apply a full Bayesian model to complex sample survey data to identify micro areas with variation in risk factor prevalence, accounting for spatial correlation and other covariates. Application of micro area analysis techniques helps define areas for public health planning, and may be informative to surveillance and research modeling of relevant chronic disease outcomes
Who are the under- and never- screened for cancer in Ontario
The under- and never-screened in Ontario comprise a diversity of groups. Heterogeneity within and intersectionality among under- and never-screened groups adds complexity to cancer screening participation and program planning
Who are the under- and never- screened for cancer in Ontario
The under- and never-screened in Ontario comprise a diversity of groups. Heterogeneity within and intersectionality among under- and never-screened groups adds complexity to cancer screening participation and program planning
Estimating micro area behavioural risk factor prevalence from large population-based surveys
This is among the first studies to apply a full Bayesian model to complex sample survey data to identify micro areas with variation in risk factor prevalence, accounting for spatial correlation and other covariates. Application of micro area analysis techniques helps define areas for public health planning, and may be informative to surveillance and research modeling of relevant chronic disease outcomes
A Bayesian shared components modeling approach to develop small area indicators of social determinants of health with measures of uncertainty
Biostatistics (2 works) · Demography (2 works) · Demography (2 works) · Environmental health (2 works) · Medicine (2 works) · Pathology (2 works) · Population (2 works) · Public health (2 works) · Bayesian probability (1 work) · Behavioral Risk Factor Surveillance System (1 work)