Works matching IS 11804009 AND DT 2013 AND VI 24 AND IP 8
Results: 10
We can understand complex models (at least, sometimes).
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- Environmetrics, 2013, v. 24, n. 8, p. 527, doi. 10.1002/env.2244
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- Article
Measurement error in two-stage analyses, with application to air pollution epidemiology.
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- Environmetrics, 2013, v. 24, n. 8, p. 501, doi. 10.1002/env.2233
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- Article
Cross-validation based assessment of a new Bayesian palaeoclimate model.
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- Environmetrics, 2013, v. 24, n. 8, p. 550, doi. 10.1002/env.2248
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Bootstrap rank tests for trend in time series.
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- Environmetrics, 2013, v. 24, n. 8, p. 537, doi. 10.1002/env.2250
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- Article
Measurement error in spatial exposure models: study design implications.
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- Environmetrics, 2013, v. 24, n. 8, p. 518, doi. 10.1002/env.2243
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Rejoinder.
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- Environmetrics, 2013, v. 24, n. 8, p. 531, doi. 10.1002/env.2254
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- Article
Issue Information.
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- Environmetrics, 2013, v. 24, n. 8, p. i, doi. 10.1002/env.2166
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- Article
Measurement error in air pollution epidemiology: guidance for uncertain times.
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- Environmetrics, 2013, v. 24, n. 8, p. 529, doi. 10.1002/env.2242
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- Article
Spatial exposure modeling: reconsidering the data-generating mechanism.
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- Environmetrics, 2013, v. 24, n. 8, p. 525, doi. 10.1002/env.2241
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- Article
Regression calibration in air pollution epidemiology with exposure estimated by spatio-temporal modeling.
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- Environmetrics, 2013, v. 24, n. 8, p. 521, doi. 10.1002/env.2249
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- Article