Causal System Modeling in Chronic Disease Epidemiology: A Proposal Export

@article{citeulike:2052412, abstract = {We propose dynamic systems models as one component of the epidemiologic toolbox. Systems models reflect the fact that diseases are caused within complex molecular, biological, and social systems, with positive and negative feedback. Such models predict empiric observations, provide a framework for clarifying what new data is needed, allow for complex interactions between variables at levels from the subcellular to the community, and incorporate known feedbacks between systems elements at these various levels. In all of these ways, they have the capability to advance the science of epidemiology.}, author = {Ness, Roberta B. and Koopman, James S. and Roberts, Mark S.}, citeulike-article-id = {2052412}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.annepidem.2006.10.014}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/17329122}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=17329122}, citeulike-linkout-3 = {http://www.sciencedirect.com/science/article/B6T44-4N5172P-1/2/71cf0765a217ff7e2676148146eeaccf}, doi = {10.1016/j.annepidem.2006.10.014}, journal = {Annals of Epidemiology}, keywords = {epidemiology, modeling}, month = {July}, number = {7}, pages = {564--568}, posted-at = {2009-04-16 11:56:48}, priority = {3}, title = {Causal System Modeling in Chronic Disease Epidemiology: A Proposal}, url = {http://dx.doi.org/10.1016/j.annepidem.2006.10.014}, volume = {17}, year = {2007} }

TY - JOUR ID - citeulike:2052412 L3 - citeulike-article-id:2052412 N2 - We propose dynamic systems models as one component of the epidemiologic toolbox. Systems models reflect the fact that diseases are caused within complex molecular, biological, and social systems, with positive and negative feedback. Such models predict empiric observations, provide a framework for clarifying what new data is needed, allow for complex interactions between variables at levels from the subcellular to the community, and incorporate known feedbacks between systems elements at these various levels. In all of these ways, they have the capability to advance the science of epidemiology. IS - 7 JF - Annals of Epidemiology EP - 568 TI - Causal System Modeling in Chronic Disease Epidemiology: A Proposal VL - 17 SP - 564 KW - epidemiology KW - modeling AU - Ness, Roberta AU - Koopman, James AU - Roberts, Mark PY - 2007/07// UR - http://dx.doi.org/10.1016/j.annepidem.2006.10.014 ER -