Bayesian perspectives for epidemiological research: I. Foundations and basic methods.
By Sander Greenland. International Journal of Epidemiology, 2006
342 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/675c47ae06896c57abe39cfa9afbd7fffafc5375
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Håvard Rue
- Michela Cameletti
- Gianluca Baio
- Marta Blangiardo
- Leonhard Held
- Manuela Ott
- F. Oswald
- Michael Zyphur
In Statistics and Probability
- Håvard Rue
- Leonhard Held
- Michela Cameletti
- Manuela Ott
- Gianluca Baio
- Marta Blangiardo
- R. Maclehose
- F. Oswald
Citations in the corpus
- Spatial and spatio-temporal models with R-INLA. (2013, neutral): “, 2011), to health economic assessment (Baio, 2012) to the social sciences (Jackman, 2009), to epidemiology (Greenland, 2006).”
- Good practices for quantitative bias analysis. (2014, background): “Probabilistic bias analysis found that more credible interval estimates could easily include the null (no effect),(28) as well as very large effects that were inconsistent with surveillance data.(40) Thus, bias analysis showed that the evidence provided by the conventional meta-analysis should be do”
- Spatial and spatio-temporal models with R-INLA. (2013, background): “During the last three decades, Bayesian methods have developed greatly and are now widely established in many research areas, from clinical trials (Berry et al., 2011), to health economic assessment (Baio, 2012) to the social sciences (Jackman, 2009), to epidemiology (Greenland, 2006).”
- Bayesian Estimation and Inference (2015, methodology): “…new to organizational research, Bayesian methods exist in many disciplines, such as physics (Dose, 2003; von Toussaint, 2011), atmospheric science (Wilks, 2011), geology (Curtis & Wood, 2004), biomedicine (Ashby, 2006; Greenland, 2006, 2007), and economics (Chib, Griffiths, Koop, & Terrell, 2008).”
- How the Maximal Evidence of P-Values Against Point Null Hypotheses Depends on Sample Size (2016, positive): “Several authors have recently suggested to use a reverse-Bayes analysis to check the plausibility of scientific findings (Matthews 2001; Greenland 2006, 2011).”