Avoiding pitfalls when using information-theoretic methods

By David R. Anderson, K. Burnham. 2002

1,301 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8acd61ae876dc618c24ce0afbaa6cd5922f61491

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In Ecological Modeling

In Ecology

Citations in the corpus

Information theory and hypothesis testing: a call for pluralism (2005, background): “…asserted that ‘it should not be surprising that nullhypothesis testing is no longer very useful, considering that it was developed 70–80 years ago’ and ‘the usefulness of P -values is quite limited, and we continue to suggest that these procedures should be euthanized’ (Anderson & Burnham 2002).”
Predators of Greater Sage-Grouse nests identified by video monitoring (2008, methodology): “We used Akaike’s information criterion (Akaike 1973) corrected for small sample size (AICc; Anderson and Burnham 2002) to evaluate the relative support of candidate models using Akaike’s differences ( AICc) and weights ( i) (Anderson and Burnham 2002) for each model.”
Mycoplasma gallisepticum infection dynamics in a house finch population: seasonal variation in survival, encounter and transmission rate (2004, methodology): “1992; Burnham & Anderson 2002).”
Mesopredator spatial and temporal responses to large predators and human development in the Santa Cruz Mountains of California (2015, methodology): “We found that a radius of 500 m minimized model Akaike Information Criterion (AIC; Anderson and Burnham, 2002; Arnold, 2010) and therefore used that scale for our development covariates.”
SOURCES OF HETEROGENEITY BIAS WHEN DNA MARK-RECAPTURE SAMPLING METHODS ARE APPLIED TO GRIZZLY BEAR (URSUS ARCTOS) POPULATIONS (2004, methodology): “The number of parameters (K) used for calculation of QAICc was increased by 1 to account for the estimation of the overdispersion parameter (Anderson and Burnham 2002).”
Monitoring distributions using call surveys: estimating site occupancy, detection probabilities and inferring absence. (2005, methodology): “Since the data set was small, we kept the candidate models simple (Anderson and Burnham, 2002).”
Twenty years of understorey bird extinctions from Amazonian rain forest fragments: consistent trends and landscape‐mediated dynamics (2009, methodology): “We ordered the AICc values to calculate the differences between the best model and each of the others ( Δ AICc) and calculate Akaike weights ( ω ) and evidence ratios for each model (see Anderson & Burnham, 2002; Burnham & Anderson, 2002).”
Model selection for ecologists: the worldviews of AIC and BIC. (2014, background): “The prevalence of type A thinking is obvious throughout the popular biometric text on model selection by Burnham and Anderson (2002) and in other works by these authors (e.g., Anderson and Burnham 2002).”
Developing multiple hypotheses in behavioral ecology (2010, methodology): “Despite the advantages of using multiple working hypotheses to structure research, developing hypothesis sets is not easy (Chamberlin 1890; Anderson and Burnham 2002; Eberhardt 2003; Steidl 2006).”
Information-theoretic approaches to statistical analysis in behavioural ecology: an introduction (2010, methodology): “Some emphasise that the IT-based method may have some limitations under certain circumstances, and its practical application is subject to some common misunderstandings (Anderson and Burnham 2002; Guthery et al. 2005; Steidl 2006).”
Survival and Cause-Specific Mortality of Red Foxes in Agricultural and Urban Areas of Illinois (2007, methodology): “We posited, a priori, biologically meaningful models (Freedman 1983, Anderson et al. 2000, Anderson and Burnham 2002) to describe variation due to 13 groupings and 14 covariates for juveniles and 11 groupings and 6 covariates for adult foxes.”