Barry J Glick
Biographic Data
| ID | 5232841 |
|---|---|
| NAME | Barry J Glick |
| GIVEN NAMES | Barry J |
| FAMILY NAME | Glick |
| SIGNATURE | GLICK B J |
| AFFILIATIONS | Middlebury College |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1979 |
| LATEST PUBLICATION YEAR | 1982 |
| H-INDEX | 1 |
The Spatial Organization of Cancer Mortality
The examination of human cancer occurrence from a spatial perspective can yield useful information that aids in the search for factors that influence cancer risk. The spatial implications of theoretical models of carcinogenesis suggest an approach for empirically testing theories relating to this problem. The spatial analysis of empirical cancer data can yield clues leading to the development and testing of causal hypotheses. Different models of …
Distance relationships in theoretical models of carcinogenesis
The spatial autocorrelation of cancer mortality
The Spatial Organization of Cancer Mortality
The examination of human cancer occurrence from a spatial perspective can yield useful information that aids in the search for factors that influence cancer risk. The spatial implications of theoretical models of carcinogenesis suggest an approach for empirically testing theories relating to this problem. The spatial analysis of empirical cancer data can yield clues leading to the development and testing of causal hypotheses. Different models of …
Distance relationships in theoretical models of carcinogenesis
The spatial autocorrelation of cancer mortality
The Spatial Organization of Cancer Mortality
The examination of human cancer occurrence from a spatial perspective can yield useful information that aids in the search for factors that influence cancer risk. The spatial implications of theoretical models of carcinogenesis suggest an approach for empirically testing theories relating to this problem. The spatial analysis of empirical cancer data can yield clues leading to the development and testing of causal hypotheses. Different models of …
Data-Driven Disease Surveillance (3 works) · Spatial and Panel Data Analysis (3 works) · Biology (2 works) · Cancer (2 works) · Mathematics (2 works) · Medicine (2 works) · Spatial analysis (2 works) · Statistics (2 works) · Artificial Intelligence (1 work) · Autocorrelation (1 work)