Spatio‐environmental modeling for health outcome data.
- Published in:
- Environmetrics, 2019, v. 30, n. 7, p. N.PAG, doi. 10.1002/env.2600
- By:
- Publication type:
- Article
Works matching IS 11804009 AND DT 2019 AND VI 30 AND IP 7
Results: 7
1
2
A Bayesian spatiotemporal model of panel design data: Airborne particle number concentration in Brisbane, Australia.
- Published in:
- Environmetrics, 2019, v. 30, n. 7, p. N.PAG, doi. 10.1002/env.2597
- By:
- Publication type:
- Article
3
Multivariate air pollution prediction modeling with partial missingness.
- Published in:
- Environmetrics, 2019, v. 30, n. 7, p. N.PAG, doi. 10.1002/env.2592
- By:
- Publication type:
- Article
4
Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near‐road environment.
- Published in:
- Environmetrics, 2019, v. 30, n. 7, p. N.PAG, doi. 10.1002/env.2581
- By:
- Publication type:
- Article
5
Bayesian spatiotemporal modeling for estimating short‐term exposure to air pollution in Santiago de Chile.
- Published in:
- Environmetrics, 2019, v. 30, n. 7, p. N.PAG, doi. 10.1002/env.2574
- By:
- Publication type:
- Article
6
Age‐specific distributed lag models for heat ‐ related mortality.
- Published in:
- Environmetrics, 2019, v. 30, n. 7, p. N.PAG, doi. 10.1002/env.2561
- By:
- Publication type:
- Article
7
Issue Information.
- Published in:
- Environmetrics, 2019, v. 30, n. 7, p. N.PAG, doi. 10.1002/env.2517
- Publication type:
- Article