PLoS ONE · 2013 · 73 citations · 24 references
Public HealthPopulation Health SciencesEpidemiologic MethodsEpidemiologySuicide PreventionEvent History AnalysisTime-series Analysis In EpidemiologyTime-to-event AnalysisArima ModelsEcological StudiesInterrupted Series AnalysisInterrupted Time Series DesignOutcome BiasSuicide EpidemiologySuicide MortalityTransfer Function Models
A number of ecological studies have found a pattern of increasing suicide rates after suicides of several Asian entertainment celebrities. However, the finding may be subject to positive outcome bias where cases with no perceived impact may be routinely excluded. In this study, we deploy interrupted time-series analysis using ARIMA transfer function models to investigate systematically the impact of thirteen celebrity suicides on subsequent suicide rates in South Korea. We find that three out of eleven cases were found to be followed by a significant increase in suicide rate, while controlling for seasonality, secular trends, and unemployment rates. Such significant increases could last for nine weeks. Non-significance cases may be attributable to the small amount of media coverage, the "displacement" effect of preceding case, and the negative connotation of celebrity deaths. We therefore conclude that whether or not the impacts were detected may be largely conditioned by various contextual factors. Current evidence based on ecological studies is insufficient to draw a firm conclusion. Further studies using multiple approaches should be developed.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Time Series Analysis: Forecasting and Control
Michael D. Geurts, George E. P. Box, Gwilym M. Jenkins · Journal of Marketing Research · 1977 · 19.3K citations
Computing, Data Science, Forecasting +11
The Handbook of Social Psychology
Arthur E. Gravatt, Gardner Lindzey, F. Aronson · The Family Coordinator · 1969 · 12.7K citations