Methods for combining ancillary data in stochastic compartment models of cancer mortality: generalization of heterogeneity models.
Publication
, Journal Article
Manton, KG; Lowrimore, G; Yashin, A
Published in: Mathematical population studies
January 1993
"We present a mortality model where nationally representative survey data on risk factor distributions are combined with data on cohort mortality rates to increase information, i.e., a fixed marginal risk factor distribution is combined with a cohort model representing unobserved individual risk heterogeneity. The model is applied to lung cancer mortality in nine U.S. white male cohorts aged 30 to 70 in 1950 and followed 38 years. Estimates of the cohort specific proportions of smokers were made from the National Health Interview Survey. Comparisons are made for models with different patterns of changes with age of individual heterogeneity." (SUMMARY IN FRE)
Duke Scholars
Published In
Mathematical population studies
DOI
ISSN
0889-8480
Publication Date
January 1993
Volume
4
Issue
2
Start / End Page
133 / 149
Related Subject Headings
- United States
- Smoking
- Risk Factors
- Research
- Population Dynamics
- Population Characteristics
- Population
- Physiology
- North America
- Neoplasms
Citation
APA
Chicago
ICMJE
MLA
NLM
Manton, K. G., Lowrimore, G., & Yashin, A. (1993). Methods for combining ancillary data in stochastic compartment models of cancer mortality: generalization of heterogeneity models. Mathematical Population Studies, 4(2), 133–149. https://doi.org/10.1080/08898489309525365
Manton, K. G., G. Lowrimore, and A. Yashin. “Methods for combining ancillary data in stochastic compartment models of cancer mortality: generalization of heterogeneity models.” Mathematical Population Studies 4, no. 2 (January 1993): 133–49. https://doi.org/10.1080/08898489309525365.
Manton KG, Lowrimore G, Yashin A. Methods for combining ancillary data in stochastic compartment models of cancer mortality: generalization of heterogeneity models. Mathematical population studies. 1993 Jan;4(2):133–49.
Manton, K. G., et al. “Methods for combining ancillary data in stochastic compartment models of cancer mortality: generalization of heterogeneity models.” Mathematical Population Studies, vol. 4, no. 2, Jan. 1993, pp. 133–49. Epmc, doi:10.1080/08898489309525365.
Manton KG, Lowrimore G, Yashin A. Methods for combining ancillary data in stochastic compartment models of cancer mortality: generalization of heterogeneity models. Mathematical population studies. 1993 Jan;4(2):133–149.
Published In
Mathematical population studies
DOI
ISSN
0889-8480
Publication Date
January 1993
Volume
4
Issue
2
Start / End Page
133 / 149
Related Subject Headings
- United States
- Smoking
- Risk Factors
- Research
- Population Dynamics
- Population Characteristics
- Population
- Physiology
- North America
- Neoplasms