Empirical Bayes estimation smoothing of relative risks in disease mapping
By J. Meza. 2003
72 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Epidemiology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9b78d9a0da6a39339472fef82af7593f866060ac
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
- Partha Lahiri
- Jiming Jiang
- Peter Hall
- Tapabrata Maiti
- M. José Lombardía
- Domingo Morales
- Ferry Butar Butar
- Danny Pfeffermann
In Epidemiology
In Statistics and Probability
- Partha Lahiri
- Jiming Jiang
- Peter Hall
- Tapabrata Maiti
- M. José Lombardía
- Domingo Morales
- Danny Pfeffermann
- Ferry Butar Butar
Citations in the corpus
- Mixed model prediction and small area estimation (2006, background): “See, for example, Breslow and Clayton (1993), Lee and Nelder (1996), Christiansen and Morris (1997), Malec et al. (1997), Ghosh et al. (1998), Lahiri and Maiti (2002) and Meza (2003).”
- On measures of uncertainty of empirical Bayes small-area estimators (2003, background): “However, for nonlinear models the leading term could be area speci>c (see Meza, 2003).”
- On parametric bootstrap methods for small area prediction (2006, methodology): “Much of the existing small area bootstrap work, e.g. that of Butar Butar and Lahiri (2003) and Meza (2003), is founded on empirical Bayes arguments, whereas the approach that is suggested in this paper is distinctly frequentist.”