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Spatio-temporal models with errors in covariates: Mapping Ohio lung cancer mortality
Hong Xia
, Brad Carlin
Pulmonary, Allergy, Critical Care and Sleep Medicine
Biostatistics
Research output
:
Contribution to journal
›
Article
›
peer-review
82
Scopus citations
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Dive into the research topics of 'Spatio-temporal models with errors in covariates: Mapping Ohio lung cancer mortality'. Together they form a unique fingerprint.
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Mathematics
Spatio-temporal Model
100%
Lung Cancer
91%
Mortality
75%
Covariates
56%
Smoothing
40%
Model Evaluation
33%
Hierarchical Bayes
32%
Bayes Method
32%
Morbidity
32%
Equity
31%
Smoking
30%
Mortality Rate
29%
Hierarchical Model
26%
Markov Chain Monte Carlo Methods
25%
Model Selection
22%
Posterior distribution
22%
Mean Value
22%
Economics
19%
Model
14%
Framework
12%
Estimate
10%
Medicine & Life Sciences
Lung Neoplasms
53%
Monte Carlo Method
48%
Uranium
48%
Markov Chains
46%
Population Density
38%
Economic Status
37%
Mortality
33%
Datasets
26%
Smoking
24%
Morbidity
19%
Population
13%