ArticleEcology and evolution2019
Bayesian model selection for spatial capture-recapture models.
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Comparison of WAIC and posterior predictive approaches for N-mixture models.Scientific reports · 2024Article
- The first comprehensive population size estimations for the highly endangered largest diving beetle Dytiscus latissimus in Europe.Scientific reports · 2023Article
- Occupancy data improves parameter precision in spatial capture-recapture models.Ecology and evolution · 2022Article
- Lions in a coexistence landscape: Repurposing a traditional field technique to monitor an elusive carnivore.Ecology and evolution · 2022Article
- Leopard and spotted hyena densities in the Lake Mburo National Park, southwestern Uganda.PeerJ · 2022Article
- Bayesian model selection for spatial capture-recapture models.Ecology and evolution · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A vast amount of ecological knowledge generated over the past two decades has hinged upon the ability of model selection methods to discriminate among various ecological hypotheses. The last decade has seen the rise of Bayesian hierarchical models in ecology. Consequently, commonly used tools, such as the AIC, become largely inapplicable and there appears to be no consensus about
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.