All models are wrong.
By S. Shafer. 2012
230 citations recorded by the source corpus.
Subfields: Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine, Developmental Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Anesthesiology and Pain Medicine
- Paul-Gerhard Reinhard
- Mathias Drton
- Julie Foucquier
- C. Gough
- Witold Nazarewicz
- Martyn Plummer
- N. Vaughan
- Jacek Dobaczewski
In Critical Care and Intensive Care Medicine
- Paul-Gerhard Reinhard
- Mathias Drton
- Julie Foucquier
- C. Gough
- Witold Nazarewicz
- Martyn Plummer
- N. Vaughan
- Jacek Dobaczewski
In Developmental Neuroscience
- Paul-Gerhard Reinhard
- Mathias Drton
- Julie Foucquier
- C. Gough
- Witold Nazarewicz
- Martyn Plummer
- N. Vaughan
- Jacek Dobaczewski
Citations in the corpus
- A Bayesian information criterion for singular models (2013, background): “At a high level, they fall into two categories (Yang, 2005; van Erven et al., 2012; Wit et al., 2012).”
- Analysis of drug combinations: current methodological landscape (2015, methodology): “There is to date no universal method that fulfills all the aspects of this task and although useful, “all models are wrong” (Box and Draper 1987; Shafer 2012).”
- Welfare systems without economic growth: A review of the challenges and next steps for the field (2021, background): “The value generated by these activities is largely omitted from GDP statistics (Corlet Walker and Jackson, 2019; Kubiszewski et al., 2013) and it does not depend directly on economic growth.”
- Error Estimates of Theoretical Models: a Guide (2014, methodology): “-model analysis and by comparing with existing data, some information about systematic errors can be deduced. This guide and the references cited contain good illustrations of the seven rules of Ref. [5], quoted in the introduction, when it comes to nuclear modeling. More illuminating examples will ”
- Expert assessment concludes negative emissions scenarios may not deliver (2016, background): “…model users and wider policy and academic communities to better understand and respond to conclusions drawn from model outputs (Smith et al 2015b), in terms of both establishing their role in defining the policy landscape and improving the credibility of model results (Saltelli and Funtowicz 2014).”