ArticleBMC medical research methodology2023
A new data driven method for summarising multiple cause of death data.
Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Reclassification and weighting of multiple causes of death: US death certificates 2003-2023.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Re-classification and Weighting of Multiple Causes of Death: US Death Certificates 2003-2023.medRxiv : the preprint server for health sciences · 2026Article
- Estimating mortality attributable to alcohol or tobacco - a cohort study from Germany.Substance abuse treatment, prevention, and policy · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNational mortality statistics are based on a single underlying cause of death. This practice does not adequately represent the impact of the range of conditions experienced in an ageing population in which multimorbidity is common.
methodsWe propose a new method for weighting the percentages of deaths attributed to different causes that takes account of the patterns of associations among underlying and contributing causes of death. It is driven by the data and unlike previously proposed methods does not rely on arbitrary choices of weights which can over-emphasise the contribution of some causes of death. The method is illustrated using Australian mortality data for people aged 60 years or more.
resultsCompared to the usual method based only on the underlying cause of death the new method attributes higher percentages of deaths to conditions like diabetes and dementia that are frequently mentioned as contributing causes of death, rather than underlying causes, and lower percentages to conditions to which they are closely related such as ischaemic heart disease and cerebrovascular disease. For some causes, notably cancers, which are usually recorded as underlying causes with few if any contributing causes the new method produces similar percentages to the usual method. These different patterns among groups of related conditions are not apparent if arbitrary weights are used.
conclusionThe new method could be used by national statistical agencies to produce additional mortality tables to complement the current tables based only on underlying causes of death.
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