Anatoli Yashin
Biographic Data
| ID | 4197778 |
|---|---|
| NAME | Anatoli Yashin |
| GIVEN NAMES | Anatoli |
| FAMILY NAME | Yashin |
| SIGNATURE | YASHIN A |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1987 |
| LATEST PUBLICATION YEAR | 2006 |
| H-INDEX | 3 |
Two proofs of a recent formula by Griffith Feeney
This reflexion provides two mathematical proofs for Equation (1) in Feeney (
Decline in Human Cancer Incidence Rates at Old Ages
Analysis of age-specific trajectories of cancer incidence rates for all sites combined (data source: International Agency for Research on Cancer) reveals a leveling-off and decline of the rates at old ages in different countries and time periods. We ap
Mathematical Models for Human Cancer Incidence Rates
The overall cancer incidence rate declines at old ages. Possible causes of this decline include the effects of cross-sectional data which transform cohort dynamics into age pattern, population heterogeneity which selects out individuals susceptible to
Individual Aging and Cancer Risk
When individuals get older, the risk of many chronic diseases increases. This increase is in agreement with common theories of aging, such as mutation accumulation, wear and tear, antagonistic pleiotropy, etc. Surprisingly, however, the risk of some ch
Age-specific mortality trends in France and Italy since 1900
Age-specific mortality trends in France and Italy since 1900
Decline in Human Cancer Incidence Rates at Old Ages
Analysis of age-specific trajectories of cancer incidence rates for all sites combined (data source: International Agency for Research on Cancer) reveals a leveling-off and decline of the rates at old ages in different countries and time periods. We ap
Mathematical Models for Human Cancer Incidence Rates
The overall cancer incidence rate declines at old ages. Possible causes of this decline include the effects of cross-sectional data which transform cohort dynamics into age pattern, population heterogeneity which selects out individuals susceptible to
Individual Aging and Cancer Risk
When individuals get older, the risk of many chronic diseases increases. This increase is in agreement with common theories of aging, such as mutation accumulation, wear and tear, antagonistic pleiotropy, etc. Surprisingly, however, the risk of some ch
Age-specific mortality trends in France and Italy since 1900
Individual Aging and Cancer Risk
When individuals get older, the risk of many chronic diseases increases. This increase is in agreement with common theories of aging, such as mutation accumulation, wear and tear, antagonistic pleiotropy, etc. Surprisingly, however, the risk of some ch
Decline in Human Cancer Incidence Rates at Old Ages
Analysis of age-specific trajectories of cancer incidence rates for all sites combined (data source: International Agency for Research on Cancer) reveals a leveling-off and decline of the rates at old ages in different countries and time periods. We ap
Mathematical Models for Human Cancer Incidence Rates
The overall cancer incidence rate declines at old ages. Possible causes of this decline include the effects of cross-sectional data which transform cohort dynamics into age pattern, population heterogeneity which selects out individuals susceptible to
Two proofs of a recent formula by Griffith Feeney
This reflexion provides two mathematical proofs for Equation (1) in Feeney (
Medicine (4 works) · Cohort (3 works) · Cohort effect (3 works) · Demography (3 works) · Population (3 works) · Cancer incidence (2 works) · Mathematics (2 works) · Sociology (2 works) · Advanced Mathematical Theories and Applications (1 work) · Age groups (1 work)