Gefeller O, Land M, Eide G E
Department of Medical Statistics, University of Göttingen, Humboldtallee, Germany.
J Clin Epidemiol. 1998 May;51(5):437-41. doi: 10.1016/s0895-4356(98)00002-x.
In multifactorial situations, the concept of attributable fraction quantifying the population impact of exposure factors on the disease load needs special methodologic care to take the interrelationship between exposures into account. Recently, new epidemiologic parameters have been introduced to address this issue. These approaches are reconsidered here from a game-theoretical perspective. The derivation of game-theoretical properties of these parameters provides additional motivation for their use in epidemiologic practice and offers new insights into their interpretation in epidemiologic studies. The nontechnical description of the results is illustrated by examples from the Hordaland study on obstructive lung disease.
在多因素情况下，用于量化暴露因素对疾病负担的人群影响的归因分数概念，需要特别的方法学考量，以顾及各暴露因素之间的相互关系。最近，已引入新的流行病学参数来解决这一问题。本文从博弈论角度对这些方法进行重新审视。这些参数的博弈论性质推导，为其在流行病学实践中的应用提供了额外的依据，并为其在流行病学研究中的解释提供了新的见解。结果的非技术性描述通过霍达兰阻塞性肺病研究的实例进行说明。
