ArticleEcology and evolution2022
Zero-inflated count distributions for capture-mark-reencounter data.
Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Signals From the Southern Edge: Demographic Effects of Ocean Warming on Two Cold-Adapted Seabird Species in the Gulf of Maine.Global change biology · 2026Article
- Divergent Population Trends of Two Sympatric Auk Species in the Rapidly Warming Gulf of Maine.Ecology and evolution · 2024Article
- Zero-inflated count distributions for capture-mark-reencounter data.Ecology and evolution · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The estimation of demographic parameters is a key component of evolutionary demography and conservation biology. Capture-mark-recapture methods have served as a fundamental tool for estimating demographic parameters. The accurate estimation of demographic parameters in capture-mark-recapture studies depends on accurate modeling of the observation process. Classic capture-mark-recapture models typically model the observation process as a Bernoulli or categorical trial with detection probability conditional on a marked individual's availability for detection (e.g., alive, or alive and present in a study area). Alternatives to this approach are underused, but may have great utility in capture-recapture studies. In this paper, we explore a simple concept:
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Registered trials
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