Statistical Methods in Spatial Epidemiology
By A. Lawson. 2001
565 citations recorded by the source corpus.
Subfields: Epidemiology
View Paper: https://www.semanticscholar.org/paper/fd3e890e159b6ea76c01a3487a06f1e82aa3dc80
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In Epidemiology
- William H. Woodall
- M. Desprez-Loustau
- J. Michael Oakes
- Daniel P. Simpson
- David Bock
- B. Fabre
- Dominique Piou
- Håvard Rue
Citations in the corpus
- A review and discussion of prospective statistical surveillance in public health (2003, background): “In a comment (Lawson, 2001b) on Kulldorff (2001) and Rogerson (2001) it was pointed out that the surveillance methodology in this area must be developed to reduce the expected delay in the detection.”
- Local spatial interaction modelling based on the geographically weighted regression approach (2001, methodology): “Using this function we can expect that the estimators of local parameters shrink to global values if there is little data inside the kernel like Bayesian estimators in disease mapping (Clayton and Kaldor, 1987; Lawson, 2001 ) so that the localised estimator should be robust.”
- Can the emergence of pine Diplodia shoot blight in France be explained by changes in pathogen pressure linked to climate change? (2011, methodology): “The methodology used was adapted from what is done in medical epidemiology (Lawson, 2001).”
- The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. (2004, methodology): “Yet another alternative is to apply techniques that capitalize on spatial autocorrelation, such as those used in spatial statistics (Doreian, 1981; Haining, 1990; Lawson, 2001).”
- The Use of Control Charts in Health-Care and Public-Health Surveillance (2006, methodology): “The detection of clusters of disease under this situation was discussed by Raubertas (1989), Leung et al. (1999), and Rogerson and Yamada (2004).”
- A World Malaria Map: Plasmodium falciparum Endemicity in 2007 (2009, methodology): “MBG provides a formal statistical interpretation of classical geostatistical tools for spatial prediction [39–41] and allows the incorporation of Bayesian methods of statistical inference [42,43].”
- Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors (2014, background): “the sequence of base models interpretable and the parameters more orthogonal. Mapping disease incidence is a huge field within public health and epidemiology, and good introductions to the field exist (Lawson, 2006, 2013; Wakefield et al., 2000; Waller and Carlin, 2010). 13 1.0 10 Lag-one correlation D”
- Twelve Practical Suggestions for Achieving Multicultural Competence (2004, background): “Equally erroneous is the “atomistic fallacy [that] arises when an individual’s . . . experience is used to impute average characteristics for a population group” ( Lawson, 2001, p. 207 ).”