ArticleHeliyon2019
The utility of joinpoint regression for estimating population parameters given changes in population structure.
Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed.
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- Trends in pediatric vaccination coverage in Italy from 2000 to 2023.European journal of public health · 2025Article
- Measurement of the Burden of Road Injuries in Colombia, 1990-2021.International journal of environmental research and public health · 2025Observational
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- Trend analysis of antidepressant consumption in Italy from 2008 to 2022 in a public health perspective.Scientific reports · 2025Article
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7 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
The method of joinpoint regression has been used in numerous domains to assess changes in time series data, including such things as cancer mortality rates, motor vehicle collision mortalities, and disease risk. To help improve estimation of population parameters for use in ecological risk assessment and management, we present a simulation and analysis to describe the utility of this method for the ecological domain. We demonstrate how joinpoint regression can accurately identify if the population structure changes based on time series of abundance, as well as identify when this change occurs. In addition, we compare and contrast population parameter estimates derived through joinpoint and surplus production methods to those derived from standard surplus production methods alone. When considering a change point at 32 years (out of a 64 year simulation), the joinpoint regression model was able, on average, to estimate a joinpoint time of 32.31 years with a variance of 6.82 and 95% confidence interval for the mean relative bias of (0.0085, 0.0112). The model was able to consistently estimate population parameters, with variance of these estimations decreasing as the change in these population parameters increased. We conclude that joinpoint regression be added to the list of methods employed by those who assess ecological risk to allow for a more accurate and complete understanding of population dynamics.
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