Uncertainty Analysis of Mobile Phone Use and Its Effect on Cognitive Function: The Application of Monte Carlo Simulation in a Cohort of Australian Primary School Children
作者: Christopher BrzozekKurt K. BenkeBerihun M. ZelekeRodney J. CroftAnna DaleckiChristina DimitriadisJordy KaufmanMalcolm R. SimMichael J. AbramsonGeza Benke
刊名: International Journal of Environmental Research and Public Health, 2019, Vol.16 (13)
来源数据库: Directory of Open Access Journals
DOI: 10.3390/ijerph16132428
关键词: Radiofrequency electromagnetic fieldsMobile phonesUncertainty analysisMonte Carlo simulationCognitive function
原始语种摘要: Previous epidemiological studies on health effects of radiation exposure from mobile phones have produced inconsistent results. This may be due to experimental difficulties and various sources of uncertainty, such as statistical variability, measurement errors, and model uncertainty. An analytical technique known as the Monte Carlo simulation provides an additional approach to analysis by addressing uncertainty in model inputs using error probability distributions, rather than point-source data. The aim of this investigation was to demonstrate using Monte Carlo simulation of data from the ExPOSURE (Examination of Psychological Outcomes in Students using Radiofrequency dEvices) study to quantify uncertainty in the output of the model. Data were collected twice, approximately one year apart...
全文获取路径: DOAJ  (合作)

  • uncertainty 不定
  • Analysis 分析
  • estimate 估计
  • inconsistent 不相容
  • learning 学识
  • simulation 模拟
  • analysis 分析
  • school 学校
  • model 模型
  • approach