Generalized Additive Modeling with Implicit Variable Selection by Likelihood-Based Boosting

Biometrics ◽  
2006 ◽  
Vol 62 (4) ◽  
pp. 961-971 ◽  
Author(s):  
Gerhard Tutz ◽  
Harald Binder
Keyword(s):  
Variable Selection ◽  
Generalized Additive Modeling ◽  
Additive Modeling

Nonlinearities in bilingual visual word recognition: An introduction to generalized additive modeling

2021 ◽  
pp. 1-8
Author(s):  
Koji Miwa ◽  
Harald Baayen
Keyword(s):  
Lexical Decision ◽  
Tensor Product ◽  
Nonlinear Interaction ◽  
Mixed Model ◽  
Nonlinear Effects ◽  
Regression Splines ◽  
Generalized Additive Mixed Model ◽  
Generalized Additive Modeling ◽  
Additive Modeling ◽  
Cross Language

Abstract This paper introduces the generalized additive mixed model (GAMM) and the quantile generalized additive mixed model (QGAMM) through reanalyses of bilinguals’ lexical decision data from Dijkstra et al. (2010) and Miwa et al. (2014). We illustrate how regression splines can be used to test for nonlinear effects of cross-language similarity in form as well as for controlling experimental trial effects. We further illustrate the tensor product smooth for a nonlinear interaction between cross-language semantic similarity and word frequency. Finally, we show how the QGAMM helps clarify whether the effect of a particular predictor is constant across distributions of RTs.

scholarly journals Combining probability scores to optimize clinical use of the NICHD Neonatal BPD Outcome Estimator

2021 ◽  
Vol 16 (9) ◽  
pp. 3-13
Author(s):  
Rebekah Leigh ◽  
John B. Tan ◽  
Shirin DeGiorgio ◽  
Minha Cha ◽  
Chelsea Kent ◽  
...  
Keyword(s):  
Outcome Prediction ◽  
Population Distribution ◽  
Clinical Use ◽  
Grid Search ◽  
Optimal Cutoff ◽  
Original Population ◽  
Very Preterm Infants ◽  
Very Preterm ◽  
Generalized Additive Modeling ◽  
Additive Modeling

Objective: Bronchopulmonary dysplasia (BPD) continues to prevail among very preterm infants. While NICHD BPD Outcome Estimator is easy to use, the clinical interpretation remains challenging. This study aims to optimize its use. Study Design: A retrospective study was conducted with 469 infants born between 2015 and 2020. Data were entered into the Estimator to obtain probability scores. Trajectories of the probability scores were modeled using generalized additive modeling. The optimal cutoff number for predicting severe BPD or death was identified by a grid search from a range established by the original population distribution and the ROC curve. Result: Combining probability scores from the severe and death categories and the no-BPD and mild categories may improve BPD outcome prediction. A cutoff of 21% combining outcome probabilities from severe and death categories is predictive of severe BPD or death. Conclusion: Combining probability scores of different categories improves BPD outcome prediction.

scholarly journals The Impact of Vessels on Humpback Whale Behavior: The Benefit of Added Whale Watching Guidelines

2021 ◽  
Vol 8 ◽  
Author(s):  
Jens J. Currie ◽  
Jessica A. McCordic ◽  
Grace L. Olson ◽  
Abigail F. Machernis ◽  
Stephanie H. Stack
Keyword(s):  
Respiration Rate ◽  
Humpback Whale ◽  
Humpback Whales ◽  
Whale Watching ◽  
Modeling Framework ◽  
Marine Tourism ◽  
Generalized Additive Modeling ◽  
The World ◽  
Additive Modeling ◽  
The Impact

The concurrent increase in marine tourism and vessel traffic around the world highlights the need for developing responsible whale watching guidelines. To determine the impact of vessel presence on humpback whale behaviors in Maui Nui, a land-based study was conducted from 2015 to 2018 in Maui, Hawai'i. Theodolite tracks were used to summarize humpback whale swim speed, respiration rate, dive time, and path directness to determine the potential impacts of various types of vessel presence on whale behavior. Vessel presence, proximity, and approach type in conjunction with biological parameters were used in a generalized additive modeling framework to explain changes in whale behaviors. The results presented here show increases in swim speed, respiration rate, and path directness in conjunction with decreasing dive times, which has been shown to be an energetically demanding avoidance strategy. These observations, in conjunction with increasing awareness on the implication of non-lethal effects of human disturbance and changing oceanic environments on humpback whales, highlights the need for a pre-cautionary approach to management. Stricter guidelines on whale watching will limit the level of disturbance to individual humpback whales in Hawai'i and ensure they maintain the fitness required to compensate for varying ecological and anthropogenic conditions.

scholarly journals 1475Effects of climate factors on the dengue fever in Paraguay: generalized additive model in 2014-2020

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Raquel Elizabeth Gomez Gomez
Keyword(s):  
Relative Humidity ◽  
Dengue Fever ◽  
Additive Model ◽  
Climate Factors ◽  
Final Model ◽  
Generalized Additive Modeling ◽  
Increasing Trend ◽  
The Mean ◽  
Additive Modeling ◽  
Dengue Control

Abstract Background Dengue fever is disease transmitted by mostly Aedes spp. This study aims investigate the association between climate factors and dengue incidence in Paraguay, considered as an endemic disease since 2009. Methods We extracted incidence of dengue by week from 2014-2020 national health surveillance, Paraguay. The climate factors, including rainfall, sunshine, minimum temperate, air pressure, relative humidity and wind were extracted from Directorate of Meteorology and Hydrology and aggregated as a weekly data. Generalized additive modeling was performed, adjusted by seasonality and population. Lags between 0-10 weeks were chosen for according to rho statistics of Spearman’s test. Results A total of dengue fever was 40,593 in study period. The mean cumulative incidence per 10,000 populations was 22.37 (standard deviation: 93.27). All six climate factors and seasonality were significant in the final model with the adjusted R-square 18.6%. Rainfall (relative risk [RR]: 0.51), relative humidity (RR: 0.25) and wind (RR: 0.19) showed negative trends with the increase of dengue while atmospheric pressure (RR: 9.32) and sunshine (RR: 0.12) showed positive associations. Minimum temperature showed increasing trend until 15ºC (1ºC increase in 4-fold incidence). The lag of each factor was selected between 2 to 10 weeks. Conclusion Climate factors showed associations with dengue fever in Paraguay. Such climate factors should be considered along with the dengue surveillance in endemic areas for effective dengue control. Key messages Climate factors showed significant dynamic associations with dengue incidence in Paraguay.

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