scholarly journals Multipollutant measurement error in air pollution epidemiology studies arising from predicting exposures with penalized regression splines

2016 ◽  
Vol 65 (5) ◽  
pp. 731-753 ◽  
Author(s):  
Silas Bergen ◽  
Lianne Sheppard ◽  
Joel D. Kaufman ◽  
Adam A. Szpiro
Keyword(s):  
Air Pollution ◽  
Measurement Error ◽  
Penalized Regression ◽  
Regression Splines ◽  
Air Pollution Epidemiology ◽  
Penalized Regression Splines ◽  
Epidemiology Studies

scholarly journals Measurement error in two-stage analyses, with application to air pollution epidemiology

2013 ◽  
Vol 24 (8) ◽  
pp. 501-517 ◽  
Author(s):  
Adam A. Szpiro ◽  
Christopher J. Paciorek
Keyword(s):  
Air Pollution ◽  
Measurement Error ◽  
Two Stage ◽  
Air Pollution Epidemiology

scholarly journals Climate sensitivity and resistance under pure- and mixed-stand scenarios in Lower Austria evaluated with distributed lag models and penalized regression splines for tree-ring time series

2019 ◽  
Vol 139 (2) ◽  
pp. 189-211 ◽  
Author(s):  
Arne Nothdurft ◽  
Markus Engel
Keyword(s):  
Tree Ring ◽  
Climate Sensitivity ◽  
European Beech ◽  
Penalized Regression ◽  
Mixed Stand ◽  
Regression Splines ◽  
Mixed Stands ◽  
Distributed Lag ◽  
Distributed Lag Models ◽  
Penalized Regression Splines

Abstract Penalized regression splines and distributed lag models were used to evaluate the effects of species mixing on productivity and climate-related resistance via tree-ring width measurements from sample cores. Data were collected in Lower Austria from sample plots arranged in a triplet design. Triplets were established for sessile oak [Quercus petraea (Matt.) Liebl.] and Scots pine (Pinus sylvestris L.), European beech (Fagus sylvatica L.) and Norway spruce [Picea abies (L.) H. Karst.], and European beech and European larch (Larix decidua Mill.). Mixing shortened the temporal range of time-lagged climate effects for beech, spruce, and larch, but only slightly changed the effects for oak and pine. Beech and spruce as well as beech and larch exhibited contrasting climate responses, which were consequently reversed by mixing. Single-tree productivity was reduced by between − 15% and − 28% in both the mixed oak–pine and beech–spruce stands but only slightly reduced in the mixed beech–larch stands. Measures of climate sensitivity and resistance were derived by model predictions of conditional expectations for simulated climate sequences. The relative climate sensitivity was, respectively, reduced by between − 16 and − 39 percentage points in both the beech–spruce and beech–larch mixed stands. The relative climate sensitivity of pine increased through mixing, but remained unaffected for oak. Mixing increased the resistance in both the beech–larch and the beech–spruce mixed stand. In the mixed oak–pine stand, resistance of pine was decreased and remained unchanged for oak.

scholarly journals Impact of exposure measurement error in air pollution epidemiology: effect of error type in time-series studies

2011 ◽  
Vol 10 (1) ◽  
Author(s):  
Gretchen T Goldman ◽  
James A Mulholland ◽  
Armistead G Russell ◽  
Matthew J Strickland ◽  
Mitchel Klein ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Measurement Error ◽  
Exposure Measurement ◽  
Error Type ◽  
Exposure Measurement Error ◽  
Air Pollution Epidemiology ◽  
Time Series Studies

scholarly journals S-Estimation for Penalized Regression Splines

2010 ◽  
Vol 19 (3) ◽  
pp. 609-625 ◽  
Author(s):  
Kukatharmini Tharmaratnam ◽  
Gerda Claeskens ◽  
Christophe Croux ◽  
Matias Salibián-Barrera
Keyword(s):  
Penalized Regression ◽  
Regression Splines ◽  
Penalized Regression Splines

scholarly journals The importance of the exposure metric in air pollution epidemiology studies: When does it matter, and why?

2015 ◽  
Vol 9 (5) ◽  
pp. 495-502 ◽  
Author(s):  
Kathie L. Dionisio ◽  
Lisa K. Baxter ◽  
Janet Burke ◽  
Halûk Özkaynak
Keyword(s):  
Air Pollution ◽  
Air Pollution Epidemiology ◽  
Epidemiology Studies

scholarly journals Exposure prediction approaches used in air pollution epidemiology studies: Key findings and future recommendations

2013 ◽  
Vol 23 (6) ◽  
pp. 654-659 ◽  
Author(s):  
Lisa K Baxter ◽  
Kathie L Dionisio ◽  
Janet Burke ◽  
Stefanie Ebelt Sarnat ◽  
Jeremy A Sarnat ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Pollution Epidemiology ◽  
Epidemiology Studies
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