Cited by 4,104Statistical Methods and InferenceStatistical Methods and Bayesian InferenceStatistical Methods and Applications

The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons

Burnham, Kenneth P., Anderson, David R., Huyvaert, Kathryn P.·2011·Behavioral Ecology and Sociobiology

DOI 10.1007/s00265-010-1029-6

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/s00265-010-1029-6

Cites

97 of 97 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
Self-citation
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 37,139
Generalized Linear Models
(2005) · Springer eBooks · doi:10.1007/0-387-27255-0_9 · Cited by 20,333
On Information and Sufficiency
Kullback, S., & Leibler, R. A. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729694 · Cited by 20,193
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 18,636
Generalized Linear Models
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791

Show all 95 references

Research works printed but not linked: 1

Akaike H (1983b) Information measures and model selection. Int Statistical Institute 44:277–291

Sorted by citations

Items 501–600 of 1,003

Prevalence and predictors for musculoskeletal discomfort in Malaysian office workers: Investigating explanatory factors for a developing country
Maakip, I., Keegel, T. G., & Oakman, J. (2015) · Applied Ergonomics · doi:10.1016/j.apergo.2015.10.008 · Cited by 45
Benthic megafaunal community structure of cobalt-rich manganese crusts on Necker Ridge
Morgan, N. B., Cairns, S. D., Reiswig, H. M., & Baco, A. R. (2015) · Deep Sea Research Part I Oceanographic Research Papers · doi:10.1016/j.dsr.2015.07.003 · Cited by 45
“Typically a difference of at least 2 units demonstrates a real difference between models (Anderson et al., 2008; Burnham et al., 2011).”
Background
Direct and indirect causal effects of heterozygosity on fitness-related traits in Alpine ibex
Brambilla, A., Biebach, I., Bassano, B., Bogliani, G., & von Hardenberg, A. (2015) · Proceedings of the Royal Society of London. Biological Sciences · doi:10.1098/rspb.2014.1873 · Cited by 42
“A value of ∆AICc= 4 was chosen as a threshold for the selection of the best models [61].”
Method
Modelling spatial distribution of Patagonian toothfish through life-stages and sex and its implications for the fishery on the Kerguelen Plateau
Péron, C., Welsford, D. C., Ziegler, P., Lamb, T. D., Gasco, N., Chazeau, C., Sinegre, R., & Duhamel, G. (2015) · Progress In Oceanography · doi:10.1016/j.pocean.2015.12.003 · Cited by 45
The use of a physiologically-based extraction test to assess relationships between bioaccessible metals in urban soil and neurodevelopmental conditions in children
Hong, J., Wang, Y., McDermott, S. W., Cai, B., Aelion, C. M., & Lead, J. R. (2016) · Environmental Pollution · doi:10.1016/j.envpol.2016.01.001 · Cited by 45
Elevational patterns and hierarchical determinants of biodiversity across microbial taxonomic scales
Yeh, C., Soininen, J., Teittinen, A., & Wang, J. (2018) · Molecular Ecology · doi:10.1111/mec.14935 · Cited by 45
Comparing individual and population measures of senescence across 10 years in a wild insect population
Rodríguez‐Muñoz, R., Boonekamp, J. J., Liu, X. P., Skicko, I. M., Pedersen, S. H., Fisher, D. N., Hopwood, P. E., & Tregenza, T. (2018) · Evolution · doi:10.1111/evo.13674 · Cited by 45
Plant phylogenetic history explains in‐stream decomposition at a global scale
LeRoy, C. J., Hipp, A. L., Lueders, K., Shah, J. J. F., Kominoski, J. S., Ardón, M., Dodds, W. K., Gessner, M. O., Griffiths, N. A., Lecerf, A., et al. (2019) · Journal of Ecology · doi:10.1111/1365-2745.13262 · Cited by 45
Shark conservation hindered by lack of habitat protection
Birkmanis, C. A., Partridge, J. C., Simmons, L. W., Heupel, M. R., & Sequeira, A. M. M. (2019) · Global Ecology and Conservation · doi:10.1016/j.gecco.2019.e00862 · Cited by 46
Insights into the Evolutionary History of the Hawaiian Bidens (Asteraceae) Adaptive Radiation Revealed Through Phylogenomics
Knope, M. L., Bellinger, M. R., Datlof, E. M., Gallaher, T. J., & Johnson, M. A. (2019) · Journal of Heredity · doi:10.1093/jhered/esz066 · Cited by 43
“Of the 12 biogeographical models evaluated for each of the concatenated (Supplementary Table S3), nuclear (Supplementary Table S4), and plastome datasets (Supplementary Table S5), 8 models were plausible (ΔAIC values < 7; Burnham et al. 2011) in the nuclear and concatenated analyses and included all variations of the…”
Background
Calculating effect sizes in animal social network analysis
Franks, D., Weiss, M. N., Silk, M., Perryman, R. J. Y., & Croft, D. (2020) · bioRxiv · doi:10.1111/2041-210x.13429 · Cited by 35
The global macroecology of brood size in amphibians reveals a predisposition of low‐fecundity species to extinction
Pincheira‐Donoso, D., Harvey, L. P., Cotter, S. C., Stark, G., Meiri, S., & Hodgson, D. J. (2021) · Global Ecology and Biogeography · doi:10.1111/geb.13287 · Cited by 45
“We then performed model-averaging analyses using Akaike Information Criterion (AIC) and Akaike model weights to compare all subset regression models that lay within 6 AIC units relative to the model with the lowest AIC (Burnham & Anderson, 2002; Burnham et al. , 2011).”
Method
Bayesian Model Averaging for Benchmark Dose Analysis in Developmental Toxicology
Khorsheed, E., & Razzaghi, M. (2019) · Applied Mathematics & Information Sciences · doi:10.18576/amis/130101 · Cited by 44
Heterozygosity–fitness correlations in a wild mammal population: accounting for parental and environmental effects
Annavi, G., Newman, C., Buesching, C. D., Macdonald, D. W., Burke, T. A., & Dugdale, H. L. (2014) · Ecology and Evolution · doi:10.1002/ece3.1112 · Cited by 44
“Information-theoretic (IT) approaches were employed to select sets of plausible models and to estimate the relative importance of each fixed effect (Burnham et al. 2011).”
BackgroundMethodInfluential
Using Full Models, Stepwise Regression and Model Selection in Ecological Data Sets: Monte Carlo Simulations
Hegyi, G., & Laczi, M. (2015) · Annales Zoologici Fennici · doi:10.5735/086.052.0502 · Cited by 44
“There is also a mixture of model simplification and AIC, the “AIC-stepwise” method, but this is widely rejected in the IT literature for philosophical reasons and we do not discuss it further (see Burnham et al. 2011).”
Landscape-level movement patterns by lions in western Serengeti: comparing the influence of inter-specific competitors, habitat attributes and prey availability
Kittle, A. M., Bukombe, J. K., SINCLAIR, A. R. E., Mduma, S., & Fryxell, J. M. (2016) · Movement Ecology · doi:10.1186/s40462-016-0082-9 · Cited by 47
“The backward stepwise variable elimination process, though widely utilized in ecological modeling [57, 59] can be considered inferior to the protocol of determining alternative plausible models and then challenging the data with these models to see which the data best supports [60].”
Method
Landsat Imagery Spectral Trajectories—Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance
Hais, M., Wild, J., Berec, L., Bruna, J., Kennedy, R. E., Braaten, J. D., & Brož, Z. (2016) · Remote Sensing · doi:10.3390/rs8080687 · Cited by 44
“These individual P-predictions were then averaged, weighting specific P-predictions by the respective F-model Akaike weights [64,66].”
BackgroundMethod
Scratch that itch: revisiting links between self-directed behaviour and parasitological, social and environmental factors in a free-ranging primate
Duboscq, J., Romano, V., Sueur, C., & MacIntosh, A. J. J. (2016) · Royal Society Open Science · doi:10.1098/rsos.160571 · Cited by 44
A multi-scale analysis of western spruce budworm outbreak dynamics
Senf, C., Campbell, E., Pflugmacher, D., Wulder, M., & Hostert, P. (2017) · Landscape Ecology · doi:10.1007/s10980-016-0460-0 · Cited by 38
“To identify the models with the greatest likelihood from all possible predictor combinations, we followed a multi-model inference framework (Burnham et al. 2010).”
Method
The importance of small-scale structures in an agriculturally dominated landscape for the European wildcat ( Felis silvestris silvestris ) in central Europe and implications for its conservation
Jerosch, S., Kramer‐Schadt, S., Götz, M., & Roth, M. (2017) · Journal for Nature Conservation · doi:10.1016/j.jnc.2017.11.008 · Cited by 48
Large‐scale molecular diet analysis in a generalist marine mammal reveals male preference for prey of conservation concern
Schwarz, D., Spitzer, S. M., Thomas, A. C., Kohnert, C. M., Keates, T. R., & Acevedo‐Gutiérrez, A. (2018) · Ecology and Evolution · doi:10.1002/ece3.4474 · Cited by 45
Known unknowns: Filling the gaps in scientific knowledge production in the Caatinga
Lessa, T., dos Santos, J. W., Correia, R. A., Ladle, R. J., & Malhado, A. C. M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0219359 · Cited by 46
Implications of zero‐deforestation commitments: Forest quality and hunting pressure limit mammal persistence in fragmented tropical landscapes
Deere, N. J., Guillera‐Arroita, G., Platts, P. J., Mitchell, S. L., Baking, E. L., Bernard, H., Haysom, J. K., Reynolds, G., Seaman, D. J. I., Davies, Z. G., et al. (2020) · Conservation Letters · doi:10.1111/conl.12701 · Cited by 45
“Models with Δ WAIC < 2 were considered to have substantial support, and evidence ratios were calculated to assess the explanatory power of competing models (adapting AIC principles in Burnham, Anderson, & Huyvaert, 2011; see Supporting Information S2.”
Method
Frequency of Occurrence and Population-Dynamic Consequences of Different Forms of Density-Dependent Emigration
Harman, R. R., Goddard, J., Shivaji, R., & Cronin, J. T. (2020) · The American Naturalist · doi:10.1086/708156 · Cited by 44
“The model with the smallest AICc value was deemed best, but all competing models with an AICc value within 2 of the best model were considered to have substantial support (Burnham et al. 2011).”
Method
Water productivity of irrigated maize production systems in Northern China: A meta-analysis
Zheng, H., Shao, R., Xue, Y., Ying, H., Yin, Y., Cui, Z., & Yang, Q. (2020) · Agricultural Water Management · doi:10.1016/j.agwat.2020.106119 · Cited by 44
Dissolved organic carbon in eastern Canadian lakes: Novel patterns and relationships with regional and global factors
Imtiazy, M. N., Paterson, A. M., Higgins, S. N., Yao, H., Couture, S., & Hudson, J. J. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138400 · Cited by 44
Geographic patterns of stress in insular lizards reveal anthropogenic and climatic signatures
Megía‐Palma, R., Arregui, L., Pozo, I., Žagar, A., Serén, N., Carretero, M. Á., & Merino, S. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141655 · Cited by 48
“…potentially dimorphic capabilities to cushion environmental perturbations, and (ii) gonadal and fat storage cycles are asynchronous in lacertids (Carretero, 2006), with likely differing seasonal constraints between the sexes; for example post-gravid females are recovering after laying during…”
Background
Female monopolizability promotes within-community killing in chimpanzeesPreprint
Massaro, A., Wroblewski, E. E., Mjungu, D. C., Boehm, E. E. B., Desai, N. P., Foerster, S., Rudicell, R. S., Hahn, B. H., Pusey, A. E., & Wilson, M. L. (2021) · Research Square · doi:10.21203/rs.3.rs-163673/v1 · Cited by 44
Functional traits explain seasonal variation effects of plant communities on soil erosion in semiarid grasslands in the Loess Plateau of China
Hou, J., Zhu, H., Fu, B., Lü, Y., & Zhou, J. (2020) · CATENA · doi:10.1016/j.catena.2020.104743 · Cited by 43
Social effects on age-related and sex-specific immune cell profiles in a wild mammal
van Lieshout, S. H. J., Badás, E. P., Mason, M. W. T., Newman, C., Buesching, C. D., Macdonald, D. W., & Dugdale, H. L. (2020) · Biology Letters · doi:10.1098/rsbl.2020.0234 · Cited by 46
“When multiple models were plausible (ΔAICc < 7; [63]) and the interaction was non-significant, we re-ran the model without the interaction to also accurately test the first-order effects.”
Method
The ability to disperse large seeds, rather than body mass alone, defines the importance of animals in a hyper‐diverse seed dispersal network
Ong, L., McConkey, K. R., & Campos‐Arceiz, A. (2021) · Journal of Ecology · doi:10.1111/1365-2745.13809 · Cited by 43
“Fixed effects include dietary group (herbivores, frugivores, fruit- and- seed eaters and omnivores), seed- handling ability (largest seed dispersed) and body mass (median body weight) Model R2 Fixed effects AICc ∆AICc Modelweight Nested rank 0.415 Dietary group − seed- handling ability 9.5 0 0.635 Dietary group − seed…”
MethodInfluential
Patterns and Variation in Benthic Biodiversity in a Large Marine Ecosystem
Piacenza, S. E., Barner, A. K., Benkwitt, C. E., Boersma, K. S., Cerny-Chipman, E. B., Ingeman, K. E., Kindinger, T. L., Lee, J. D., Lindsley, A. J., Reimer, J. N., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135135 · Cited by 50
“[69,70].”
Patterns and correlates of songbird movements at an ecological barrier during autumn migration assessed using landscape‐ and regional‐scale automated radiotelemetry
Woodworth, B. K., Mitchell, G. W., Norris, D. R., Francis, C. M., & Taylor, P. D. (2014) · Ibis · doi:10.1111/ibi.12228 · Cited by 43
One size does not fit all: Importance of adjusting conservation practices for endangered hawksbill turtles to address local nesting habitat needs in the eastern Pacific Ocean
Liles, M. J., Peterson, M. J., Seminoff, J. A., Altamirano, E., Henríquez, A. V., Gaos, A. R., Gadea, V., Urteaga, J., Torres, P., Wallace, B. P., et al. (2015) · Biological Conservation · doi:10.1016/j.biocon.2015.02.017 · Cited by 43
“Models ranked 1–3 constitute the 95% confidence set based on summed wi (Burnham et al., 2011).”
BackgroundMethod
Dealing with parking issues on an urban campus: The case of UC Berkeley
Riggs, W. W. (2014) · Case Studies on Transport Policy · doi:10.1016/j.cstp.2014.07.009 · Cited by 43
Measuring what matters – Identifying indicators of success for Brazilian marine protected areas
Júnior, J. G. C. D. O., Ladle, R. J., Correia, R. A., & Batista, V. D. S. (2016) · Marine Policy · doi:10.1016/j.marpol.2016.09.018 · Cited by 44
Forecasting distributions of an aquatic invasive species (Nitellopsis obtusa) under future climate scenarios
Romero-Álvarez, D., Escobar, L. E., Varela, S., Larkin, D. J., & Phelps, N. B. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180930 · Cited by 43
How Well Can Saliency Models Predict Fixation Selection in Scenes Beyond Central Bias? A New Approach to Model Evaluation Using Generalized Linear Mixed Models
Nuthmann, A., Einhäuser, W., & Schütz, I. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00491 · Cited by 46
“The AIC (Burnham et al., 2011, for review) corrects the log-likelihood statistic for the number of estimated parameters.”
BackgroundInfluential
Quantifying the interactions among metal mixtures in toxicodynamic process with generalized linear model
Feng, J., Gao, Y., Ji, Y., & Zhu, L. (2017) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2017.11.013 · Cited by 43
The seed germination niche limits the distribution of some plant species in calcareous or siliceous alpine bedrocks
Isanta, M. T., Ladouceur, E. R., Wijayasinghe, M. M., Pritchard, H. W., & Mondoni, A. (2018) · Alpine Botany · doi:10.1007/s00035-018-0199-0 · Cited by 43
“The model with the best fit was selected using Akaike’s information criterion (AIC) (Burnham et al. 2011).”
MethodInfluential
Foundation species patch configuration mediates salt marsh biodiversity, stability and multifunctionality
Crotty, S. M., Sharp, S. J., Bersoza, A. C., Prince, K. D., Cronk, K., Johnson, E. E., & Angelini, C. (2018) · Ecology Letters · doi:10.1111/ele.13146 · Cited by 44
“For all models within a delta AICc of 2 of the best-fitting model (AICcmin), we present all statistically significant models and associated Akaike weights in Table S1 (Burnham & Anderson 2002; Burnham et al. 2011).”
Method
Validation and calibration of self-reported height and weight in the Danish Health Examination Survey
Neermark, S., Holst, C., Bisgaard, T., Bay‐Nielsen, M., Becker, U., & Tolstrup, J. S. (2018) · European Journal of Public Health · doi:10.1093/eurpub/cky187 · Cited by 43
Connectivity with primary forest determines the value of secondary tropical forests for bird conservation
Mayhew, R. J., Tobias, J. A., Bunnefeld, L., & Dent, D. H. (2019) · Biotropica · doi:10.1111/btp.12629 · Cited by 46
Mapping changes in the spatiotemporal distribution of lumpy skin disease virus
Machado, G., Кorennoy, F. I., Álvarez, J., Picasso‐Risso, C., Perez, A. M., & VanderWaal, K. L. (2019) · Transboundary and Emerging Diseases · doi:10.1111/tbed.13253 · Cited by 43
The global distribution of avian eggshell colours suggest a thermoregulatory benefit of darker pigmentation
Wisocki, P. A., Kennelly, P. J., Rivera, I. R., Cassey, P., Burkey, M. L., & Hanley, D. (2019) · Nature Ecology & Evolution · doi:10.1038/s41559-019-1003-2 · Cited by 45
Floral trait functional diversity is related to soil characteristics and positively influences pollination function in semi-natural grasslands
Goulnik, J., Plantureux, S., Théry, M., Baude, M., Delattre, M., Reeth, C. V., Villerd, J., & Michelot‐Antalik, A. (2020) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2020.107033 · Cited by 46
Growing‐season frost is a better predictor of tree growth than mean annual temperature in boreal mixedwood forest plantations
Marquis, B., Bergeron, Y., Simard, M., & Tremblay, F. M. (2020) · Global Change Biology · doi:10.1111/gcb.15327 · Cited by 43
Decadal-scale variation in diet forecasts persistently poor breeding under ocean warming in a tropical seabird
Tompkins, E. M., Townsend, H. M., & Anderson, D. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182545 · Cited by 44
Self-citation
Competition and specialization in an African forest carnivore community
Mills, D. R., San, E. D. L., Robinson, H. S., Isoke, S., Slotow, R., & Hunter, L. (2019) · Ecology and Evolution · doi:10.1002/ece3.5391 · Cited by 41
“We model averaged covariates in all models with Δ (Q)AICc 6, which have been shown to have some support (Richards, Whittingham, & Stephens, 2011).”
Influential
Using invertebrate functional traits to improve flow variability assessment within European rivers
Laini, A., Burgazzi, G., Chadd, R. P., England, J., Tziortzis, I., Ventrucci, M., Vezza, P., Wood, P. J., Viaroli, P., & Guareschi, S. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155047 · Cited by 42
Selective behavior of Creole goats in response to the functional heterogeneity of native forage species in the central Monte desert, Argentina
Egea, A. V., Allegretti, L. I., Lama, S. P., Grilli, D., Sartor, C. E., Fucili, M., Guevara, J. C., & Passera, C. B. (2014) · Small Ruminant Research · doi:10.1016/j.smallrumres.2014.04.005 · Cited by 41
Using Satellite and Airborne LiDAR to Model Woodpecker Habitat Occupancy at the Landscape Scale
Vierling, L. A., Vierling, K. T., Adam, P., & Hudak, A. T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080988 · Cited by 43
“The procedure is recommended when all-subsets modeling is performed [70] and when strong support is lacking for a single model [66,71].”
Background
The major welfare problems of dairy cows in French commercial farms: an epidemiological approach
Roches, A. D. B. D., Veissier, I., Coignard, M., Bareille, N., Guatteo, R. R., Capdeville, J., Gilot‐Fromont, E., & Mounier, L. (2014) · Animal Welfare · doi:10.7120/09627286.23.4.467 · Cited by 50
A recipe for postfledging survival in great tits Parus major : be large and be early (but not too much)
Rodríguez, S., van Noordwijk, A. J., Álvarez, E., & Barba, E. (2016) · Ecology and Evolution · doi:10.1002/ece3.2192 · Cited by 42
First palaeohistological inference of resting metabolic rate in an extinct synapsid, Moghreberia nmachouensis (Therapsida: Anomodontia)
Olivier, C., Houssaye, A., Jalil, N., & Cubo, J. (2017) · Biological Journal of the Linnean Society · doi:10.1093/biolinnean/blw044 · Cited by 42
Day of year, temperature, wind, and precipitation predict timing of bat migration
Pettit, J. L., & O’Keefe, J. M. (2017) · Journal of Mammalogy · doi:10.1093/jmammal/gyx054 · Cited by 42
“To gain more knowledge of the information accounted for by the parameters other than day of year, we conducted a post hoc analysis in which we omitted the day of year parameter from all models; this subset of models accounted for 18 of the 23 candidate models (Burnham et al. 2011).”
Method
Exotic species enhance response diversity to land-use change but modify functional composition
Stavert, J. R., Pattemore, D. E., Gaskett, A. C., Beggs, J. R., & Bartomeus, Í. (2017) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2017.0788 · Cited by 40
Forest productivity in southwestern Europe is controlled by coupled North Atlantic and Atlantic Multidecadal Oscillations
Madrigal‐González, J., Ballesteros‐Cánovas, J. A., Herrero, A., Ruiz‐Benito, P., Stoffel, M., Lucas‐Borja, M. E., Andivia, E., Sancho-García, C., & Zavala, M. A. (2017) · Nature Communications · doi:10.1038/s41467-017-02319-0 · Cited by 42
Urban nectarivorous bird communities in Cape Town, South Africa, are structured by ecological generalisation and resource distribution
Coetzee, A., Barnard, P., & Pauw, A. (2018) · Journal of Avian Biology · doi:10.1111/jav.01526 · Cited by 45
Lemur species-specific metapopulation responses to habitat loss and fragmentation
Steffens, T. S., & Lehman, S. M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0195791 · Cited by 42
Anxiety and anhedonia in depression: Associations with neuroticism and cognitive control
Liao, A., Walker, R., Carmody, T. J., Cooper, C. M., Shaw, M. A., Grannemann, B. D., Adams, P., Bruder, G. E., McInnis, M. G., Webb, C. A., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.11.072 · Cited by 41
Influence of Anthropometrics on Step-Rate Thresholds for Moderate and Vigorous Physical Activity in Older Adults: Scientific Modeling Study
O'Brien, M. W., Kivell, M. J., Wojcik, W. R., d’Entremont, G., Kimmerly, D. S., & Fowles, J. R. (2018) · JMIR Aging · doi:10.2196/12363 · Cited by 42
“AIC comparisons were used to identify which models are best at trading off bias versus variance among the fitted model parameters [32].”
Method
Affiliation and disease risk: social networks mediate gut microbial transmission among rhesus macaques
Balasubramaniam, K. N., Beisner, B. A., Hubbard, J. A., Vandeleest, J. J., Atwill, E. R., & McCowan, B. (2019) · Animal Behaviour · doi:10.1016/j.anbehav.2019.03.009 · Cited by 44
Differences in seasonal survival suggest species‐specific reactions to climate change in two sympatric bat species
Reusch, C., Gampe, J., Scheuerlein, A., Meier, F., Grosche, L., & Kerth, G. (2019) · Ecology and Evolution · doi:10.1002/ece3.5292 · Cited by 42
Centromere-Proximal Meiotic Crossovers in Drosophila melanogaster Are Suppressed by Both Highly Repetitive Heterochromatin and Proximity to the Centromere
Hartmann, M., Umbanhowar, J., & Sekelsky, J. J. (2019) · Genetics · doi:10.1534/genetics.119.302509 · Cited by 44
Prioritizing landscape connectivity of a tropical forest biodiversity hotspot in global change scenario
de Oliveira-Junior, N. D., Heringer, G., Bueno, M., Pontara, V., & Meira-Neto, J. (2020) · Forest Ecology and Management · doi:10.1016/j.foreco.2020.118247 · Cited by 32
“We selected the best model in quasi-AIC values, where models with Δ quasiAIC > 2 were considered equally explanatory (Burnham et al., 2010).”
Method
Surf and turf vision: Patterns and predictors of visual acuity in compound eye evolution
Feller, K. D., Sharkey, C. R., McDuffee-Altekruse, A., Bracken‐Grissom, H. D., Lord, N. P., Porter, M. L., & Schweikert, L. E. (2020) · Arthropod Structure & Development · doi:10.1016/j.asd.2020.101002 · Cited by 47
“The best-fit model was defined as the model with the lowest DAIC, though models were accepted as showing support if DAICwas less than 4 (Burnham et al., 2011).”
Method
Cascading effects of N fertilization activate biologically driven mechanisms promoting P availability in a semi‐arid grassland ecosystem
Cui, H., Sun, W. B., Delgado‐Baquerizo, M., Song, W., Ma, J., Wang, K., & Ling, X. (2021) · Functional Ecology · doi:10.1111/1365-2435.13773 · Cited by 41
Factors Associated with Uterine Endometrial Hyperplasia and Pyometra in Wild Canids: Implications for Fertility
Asa, C. S., Bauman, K. L., Devery, S., Zordan, M., Camilo, G. R., Boutelle, S., & Moresco, A. (2014) · Zoo Biology · doi:10.1002/zoo.21069 · Cited by 51
“To assess the relative contribution of each factor, we used a multi‐model inference approach [Anderson and Burnham, 2002; Burnham et al., 2011].”
Method
Testing the role of background matching and self-shadow concealment in explaining countershading coloration in wild-caught rainbowfish
Kelley, J. L., & Merilaita, S. (2015) · Biological Journal of the Linnean Society · doi:10.1111/bij.12451 · Cited by 41
Effects of microplastics on denitrification and associated N2O emission in estuarine and coastal sediments: insights from interactions between sulfate reducers and denitrifiers
Chen, C., Yin, G., Li, Q., Gu, Y., Sun, D., An, S., Liang, X., Li, X., Zheng, Y., Hou, L., et al. (2023) · Water Research · doi:10.1016/j.watres.2023.120590 · Cited by 41
Solubilities of 10-undecenoic acid and geraniol in supercritical carbon dioxide
Lamba, N., Narayan, R. C., Modak, J. M., & Madras, G. (2015) · The Journal of Supercritical Fluids · doi:10.1016/j.supflu.2015.09.026 · Cited by 41
DNA Extraction from Museum Specimens of Parasitic Hymenoptera
Andersen, J. C., & Mills, N. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045549 · Cited by 41
“Multimodel inference was performed based on Akaiki’s Information Criterion corrected for small sample size (AICc) [33,34,35] using the R package AICcmodavg [36].”
Method
The effects of social experience with varying male availability on female mate preferences in a wolf spider
Stoffer, B., & Uetz, G. W. (2015) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-015-1904-2 · Cited by 41
“More recently though, it has been suggested that models within 2–7AIC units should have some support as well and analyses should often look at the AIC values for all statistical models to make a strong inference as to the importance of the factors in each model (Burnham et al. 2011).”
Background
The influence of oceanographic features on the foraging behavior of the olive ridley sea turtle Lepidochelys olivacea along the Guiana coast
Chambault, P., de Thoisy, B., Heerah, K., Conchon, A., Barrioz, S., dos Reis, V., Berzins, R., Kelle, L., Picard, B., Roquet, F., et al. (2016) · Progress In Oceanography · doi:10.1016/j.pocean.2016.01.006 · Cited by 48
Trophic State Evolution over 15 Years in a Tropical Reservoir with Low Nitrogen Concentrations and Cyanobacteria Predominance
Beghelli, F. G. D. S., Frascareli, D., Pompêo, M. L. M., & Moschini‐Carlos, V. (2016) · Water Air & Soil Pollution · doi:10.1007/s11270-016-2795-1 · Cited by 41
“The evidence ratio provides an indication of the number of times a given model is better than another (Burnham et al. 2011).”
Background
Discovery of Metabolic Biomarkers for Duchenne Muscular Dystrophy within a Natural History Study
Boca, S. M., Nishida, M., Harris, M. A., Rao, S., Cheema, A. K., Gill, K., Seol, H., Morgenroth, L. P., Henricson, E., McDonald, C. M., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153461 · Cited by 41
“The regression models considered with PC1 as the outcome, along with the corresponding AIC and relative probability that they minimize the information loss [36] are presented in S2 Table.”
Method
Population dynamics and associated factors of cereal aphids and armyworms under global change
Wang, L., Hui, C., Sandhu, H. S., Li, Z., & Zhao, Z. (2015) · Scientific Reports · doi:10.1038/srep18801 · Cited by 42
A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies
Wang, C., Brentnall, A. R., Cuzick, J. M., Harkness, E. F., Evans, D. G., & Astley, S. (2017) · Breast Cancer Research · doi:10.1186/s13058-017-0906-6 · Cited by 41
“some evidence of preference of risk score relative to the PD [30] (logarithm PD Δχ(2) = 6.”
Background
Ecology shapes the evolutionary trade‐off between predator avoidance and defence in coral reef butterflyfishes
Hodge, J. R., Alim, C. C., Bertrand, N. G., Lee, W., Price, S. A., Tran, B., & Wainwright, P. C. (2018) · Ecology Letters · doi:10.1111/ele.12969 · Cited by 41
“We selected the best overall model using the Akaike information criterion corrected for small sample size (AICc and AICc weights; Burnham & Anderson 2002; Burnham et al. 2011).”
Method
Constraining the Asymptotically Safe cosmology: cosmic acceleration without dark energy
Anagnostopoulos, F. K., Basilakos, S., Kofinas, G., & Zarikas, V. (2019) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2019/02/053 · Cited by 41
Personality links with lifespan in chimpanzees
Altschul, D., Hopkins, W. D., Herrelko, E. S., Inoue‐Murayama, M., Matsuzawa, T., King, J. E., Ross, S. R., & Weiß, A. (2018) · eLife · doi:10.7554/elife.33781 · Cited by 41
“We followed an information theoretical approach which allowed us to pool and average model estimates across a wide-range of possible choices of error distribution and variables to include (Burnham et al., 2011).”
Weed Suppression in Only-Legume Cover Crop Mixtures
Elsalahy, H. H., Döring, T. F., Bellingrath‐Kimura, S. D., & Arends, D. (2019) · Agronomy · doi:10.3390/agronomy9100648 · Cited by 41
“Comparing different models using the plot nested in the block did not improve the model and showed higher AIC (Akaike Information Criterion) values [57].”
Method
The Identity Resilience Index: Development and Validation in Two UK Samples
Breakwell, G. M., Fino, E., & Jaspal, R. (2021) · Identity · doi:10.1080/15283488.2021.1957895 · Cited by 59
Even low light pollution levels affect the spatial distribution and timing of activity of a “light tolerant” bat species
Mariton, L., Kerbiriou, C., Bas, Y., Zanda, B., & Viol, I. L. (2022) · Environmental Pollution · doi:10.1016/j.envpol.2022.119267 · Cited by 41
A new prognostic model using absolute lymphocyte count in patients with primary central nervous system lymphoma
Jang, J. E., Kim, Y. R., Kim, S., Cho, H., Chung, H., Lee, J. Y., Park, H., Kim, Y., Cheong, J., Min, Y. H., et al. (2016) · European Journal of Cancer · doi:10.1016/j.ejca.2016.01.016 · Cited by 41
“sample sizes [18].”
A Pine Is a Pine and a Spruce Is a Spruce – The Effect of Tree Species and Stand Age on Epiphytic Lichen Communities
Bäcklund, S., Jönsson, M. T., Strengbom, J., Frisch, A., & Thor, G. (2016) · PLoS ONE · doi:10.1371/journal.pone.0147004 · Cited by 41
“The differences (Δi) in the AICc for each sub-model were used to rank the models with Δi<4 used as the threshold for a model to be considered as having support [44].”
Method
Articulatory coordination distinguishes complex segments from segment sequences
Shaw, J. A., Oh, S., Durvasula, K., & Kochetov, A. (2021) · Phonology · doi:10.1017/s0952675721000269 · Cited by 40
Excess mortality associated with the COVID-19 pandemic in Latvia: a population-level analysis of all-cause and noncommunicable disease deaths in 2020
Gobiņa, I., Avotiņš, A., Kojalo, U., Strēle, I., Pildava, S., Villeruša, A., & Briģis, Ģ. (2022) · BMC Public Health · doi:10.1186/s12889-022-13491-4 · Cited by 34
“The second-order Akaike’s information criterion (AICc) value in the final analysis was used to select the best generalising model [21].”
Method
Sexual selection for both diversity and repetition in birdsong
Sierro, J., de Kort, S. R., & Hartley, I. R. (2023) · Nature Communications · doi:10.1038/s41467-023-39308-5 · Cited by 40
“We selected all models that werewithin a Δ AICc 2 to compute the full average model as the ﬁ nal model 108,109 .”
Agricultural intensity interacts with landscape arrangement in driving ecosystem services
Gebhardt, S., van Dijk, J., Wassen, M. J., & Bakker, M. (2023) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2023.108692 · Cited by 40
Life span and reproductive cost explain interspecific variation in the optimal onset of reproduction
Mourocq, E., Bize, P., Bouwhuis, S., Bradley, R. W., Charmantier, A., de la Cruz, C., Drobniak, S. M., Espie, R. H. M., Herényi, M., Hötker, H., et al. (2016) · Evolution · doi:10.1111/evo.12853 · Cited by 43
Tests of ecogeographical relationships in a non-native species: what rules avian morphology?
Cardilini, A. P. A., Buchanan, K. L., Sherman, C. D. H., Cassey, P., & Symonds, M. R. E. (2016) · Oecologia · doi:10.1007/s00442-016-3590-9 · Cited by 40
“1) across eastern Australia (maximum distance between sites 1745 km) between May 2011 and October 2012.”
Seed dispersal by waterbirds in southern Africa: comparing the roles of ectozoochory and endozoochory
Reynolds, C., & Cumming, G. S. (2016) · Freshwater Biology · doi:10.1111/fwb.12709 · Cited by 40
Taxonomic versus functional diversity metrics: how do fish communities respond to anthropogenic stressors in reservoirs?
Sagouis, A., Jabot, F., & Argillier, C. (2016) · Ecology Of Freshwater Fish · doi:10.1111/eff.12306 · Cited by 42
The influence of life history traits on the phenological response of British butterflies to climate variability since the late‐19th century
Brooks, S. J., Self, A. E., Powney, G. D., Pearse, W. D., Penn, M. G., & PATERSON, G. L. J. (2016) · Ecography · doi:10.1111/ecog.02658 · Cited by 42
“The top set of candidate models was defined as models with ΔAIC 7 (Burnham et al. 2011).”
Method
An African grassland responds similarly to long-term fertilization to the Park Grass experiment
Ward, D., Kirkman, K. P., & Tsvuura, Z. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177208 · Cited by 44
Area requirements and landscape‐level factors influencing shrubland birds
Roberts, H. P., & King, D. I. (2017) · Journal of Wildlife Management · doi:10.1002/jwmg.21286 · Cited by 40
Pond construction for threatened amphibians is an important conservation tool, even in landscapes with extant natural water bodies
Magnus, R., & Rannap, R. (2019) · Wetlands Ecology and Management · doi:10.1007/s11273-019-09662-7 · Cited by 40
Group dominance increases territory size and reduces neighbour pressure in wild chimpanzees
Lemoine, S. R. T., Boesch, C., Preis, A., Samuni, L., Crockford, C., & Wittig, R. M. (2020) · Royal Society Open Science · doi:10.1098/rsos.200577 · Cited by 40

Authors: Burnham, K. P., Anderson, D. R., & Huyvaert, K. P.
Affiliations: Colorado State University (US)
Corresponding author: Burnham, Kenneth P.
ORCID: Huyvaert, Kathryn P.
Venue: Behavioral Ecology and Sociobiology
Publisher: Springer Science and Business Media LLC
Published: 2010-08-18
Volume: 65
Issue: 1
Pages: 23-35
ISSN: 0340-5443 (ISSN-L)
1432-0762
DOI: 10.1007/s00265-010-1029-6
OpenAlex: W2096650374
Semantic Scholar: 33e08c84858e01d75d94592e03272dd4073316ff
Cited by: 4,104
References: 95
Citations by year: 2026: 228 · 2025: 300 · 2024: 327 · 2023: 365 · 2022: 358 · 2021: 434 · 2020: 404 · 2019: 335 · 2018: 340 · 2017: 251 · 2016: 239 · 2015: 192 · 2014: 154 · 2013: 98 · 2012: 53
FWCI: 44.95
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Behavioral Ecology and Sociobiology (publishedVersion)
Funders: Colorado State University
Innovative Research Group Project of the National Natural Science Foundation of China
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords: AIC model selection, multi-model inference, alternative hypothesis, hypothesis testing, behavioral ecology, statistical inference, probability models

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks