Null Hypothesis Testing: Problems, Prevalence, and an Alternative

By David R. Anderson, K. Burnham, W. Thompson. 2000

1,931 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/42ed4a082b4ef252dabc67a4af43a74fffd8d543

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Citations in the corpus

The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective (2017, neutral): “Anderson et al. (2000) surveyed 500 articles randomly sampled from several years of two respected journals.”
West Nile virus: pending crisis for greater sage-grouse (2004, methodology): “AIC weights (wi) were used to assess the approximate probability that each model was the best model of the given set (Anderson et al. 2000).”
Patch Size and Landscape Effects on Density and Nesting Success of Grassland Birds (2006, methodology): “If both models within step 3 had DAICC value ,4, we included them in a model-averaging analysis to derive estimates and 90% confidence intervals for each variable in the model (Anderson et al. 2000).”
Evaluation of Potential Factors Predisposing Livestock to Predation by Jaguars (2007, methodology): “We did not include interaction terms in our models because we wanted to limit the number of models under examination and because we did not presume interactions between variables a priori (Anderson et al. 2000).”
Influence of light availability on growth, leaf morphology and plant architecture of beech (Fagus sylvatica L.), maple (Acer pseudoplatanus L.) and ash (Fraxinus excelsior L.) saplings (2008, methodology): “…criteria: the coefficient of determination (R2), which shows the proportion of the total variance explained by the model, and the modified Akaike information criterion (AICc), which is an index to select the best model based on minimizing the Kullback– Liebler distance (Anderson et al. 2000).”
The Hidden Cost of Tourism: Detecting Long-term Effects of Tourism Using Behavioral Information (2004, methodology): “AIC estimate the amount of information a model provides and penalize models for any excess parameters needed to explain the data (Anderson et al. 2000, Caswell 2001).”
MOOSE CALVING STRATEGIES IN INTERIOR MONTANE ECOSYSTEMS (2007, methodology): “%) the strength of competing models using Akaike’s information criterion values corrected for small sample sizes (AICc— Anderson et al. 2000), differences in AICc values ( AICc), and Akaike weights (x).”
Long-term trends of heron and egret populations in Italy, and the effects of climate, human-induced mortality, and habitat on population dynamics (2009, methodology): “for the statistical significance of the models or of the parameter estimates, which are sensitive to the sample size and uninformative for modelling purposes (Johnson 1999; Anderson et al. 2000).”
Seasonal variation in diet composition and similarity of sympatric red deer Cervus elaphus and roe deer Capreolus capreolus (2008, methodology): “We do not rely on an arbitrary a-level of statistical significance and strictly interpret P-value as the strength of the evidence against H0, conditionally to the data at hand (Edgington 1987, Yoccoz 1991, Johnson 1999, Anderson et al. 2000).”