D W Merrill
Biographic Data
| ID | 1725465 |
|---|---|
| NAME | D W Merrill |
| GIVEN NAMES | D W |
| FAMILY NAME | Merrill |
| SIGNATURE | MERRILL D W |
| AFFILIATIONS | Lawrence Berkeley National Laboratory |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1988 |
| LATEST PUBLICATION YEAR | 1998 |
| H-INDEX | 2 |
Breast cancer detection
OBJECTIVES: This study describes the incidence of late-stage and in situ breast cancer among White women, using specialized mapping techniques that reflect incidence adjusted for the population at risk, and applies these maps to characterize areas with high and low risk of breast cancer. METHODS: Data from the Surveillance, Epidemiology, and End Results (SEER) database and the US Census Bureau were used to study the geographic distribution of bre…
Interpoint squared distance as a measure of spatial clustering
Distance and risk measures for the analysis of spatial data
Transformations of maps to investigate clusters of disease
Transformations of maps to investigate clusters of disease
Breast cancer detection
OBJECTIVES: This study describes the incidence of late-stage and in situ breast cancer among White women, using specialized mapping techniques that reflect incidence adjusted for the population at risk, and applies these maps to characterize areas with high and low risk of breast cancer. METHODS: Data from the Surveillance, Epidemiology, and End Results (SEER) database and the US Census Bureau were used to study the geographic distribution of bre…
Interpoint squared distance as a measure of spatial clustering
Distance and risk measures for the analysis of spatial data
Transformations of maps to investigate clusters of disease
Distance and risk measures for the analysis of spatial data
Interpoint squared distance as a measure of spatial clustering
Breast cancer detection
OBJECTIVES: This study describes the incidence of late-stage and in situ breast cancer among White women, using specialized mapping techniques that reflect incidence adjusted for the population at risk, and applies these maps to characterize areas with high and low risk of breast cancer. METHODS: Data from the Surveillance, Epidemiology, and End Results (SEER) database and the US Census Bureau were used to study the geographic distribution of bre…
Data-Driven Disease Surveillance (4 works) · Mathematics (3 works) · Medicine (3 works) · Statistics (3 works) · Census (2 works) · Cluster analysis (2 works) · Computer Science (2 works) · Demography (2 works) · Epidemiology (2 works) · Geography (2 works)