A multistate model for coronary heart disease--an application to different prevention strategies.
"The discrete-time stochastic model presented in this paper pays attention [to] the association between physiological risk factors and [coronary heart disease] morbidity as well as mortality trends.  Transition probabilities are modeled as a polychotomous logistic function of risk factors.  A series of separate simple logistic regression analyses...are performed as a replacement for estimating polychotomous logistic regression parameters.  Data from the Finnish North Karelia Project is used to test the model."  (SUMMARY IN KOR)
D001695:Biology; D002423:Cause of Death; D003710:Demography; D019049:Developed Countries; D004194:Disease; D005060:Europe; D005387:Finland; D006331:Heart Diseases; D008962:Models, Theoretical; D009026:Mortality; D010827:Physiology; D011153:Population; D011154:Population Characteristics; D011157:Population Dynamics; D012106:Research; D012307:Risk Factors; D012537:Scandinavian and Nordic Countries; D013223:Statistics as Topic
Biological Characteristics; Biology; Causes Of Death; Demographic Factors; Developed Countries; Diseases; Estimation Technics; Europe; Finland; Heart Diseases; Models, Theoretical; Mortality--changes; Northern Europe; Physiology; Population; Population Dynamics; Research Methodology; Risk Factors; Scandinavia