Suggestions for presenting the results of data analyses

By David R. Anderson, W. Link, Douglas H. Johnson, K. Burnham. 2001

503 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c9144c907de1cd5096d1496058782aa7a05ae52e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Body size and reserve protection affect flight initiation distance in parrotfishes (2009, methodology): “Because the wim values in our best models were <0.9, indicating that the other can- didate models had substantial support as explanation of FID (Anderson et al. 2001; Burnham and Anderson 2002), we performed model averaging.”
Reproductive maturation and senescence in the female brown bear (2003, methodology): “We fit and compared 4 variations of a general model describing reproduction, maturation, and senescence, and used AIC to select the best model (Anderson et al. 2001).”
Home Range and Movements of Boreal Toads in Undisturbed Habitat (2003, methodology): “The information-theoretic approach and AIC is the most appropriate method of analysis, it avoids the use of arbitrary significance (alpha) levels and is based on the principle of parsimony (Anderson et al., 2001).”
What should we do about hypothesis testing (2003, background): “Anderson et al. (2001) stated that "we estimate that there have been a minimum of several thousand P-values ... in every volume of Ecology and JWM [ The Journal of Wildlife Management] ... in recent years."”
Issues in information theory-based statistical inference—a commentary from a frequentist’s perspective (2010, background): “2001) but regularly complement them with measures of effect sizes, point estimates and their standard errors or confidence intervals (e.g. Stoehr 1999; Anderson et al. 2001; Nakagawa and Cuthill 2007; Garamszegi et al. 2009).”
Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation (2006, background): “BBNs belong to the school of Bayesian statistics, which has a history of tension with respect to the traditional "frequentist" school, although there are advantages to be gained by dining at both tables (Anderson et al. 2001).”