scholarly journals Evaluating the Variation of Dissolved Metals on a Highway Roadside Using a Generalized Additive Mixed Model (GAMM)

2019 ◽  
Vol 230 (4) ◽  
Author(s):  
Basem Aljoumani ◽  
Björn Kluge ◽  
Josep Sanchez ◽  
Gerd Wessolek
Author(s):  
Koji Miwa ◽  
Harald Baayen

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.


2016 ◽  
Vol 26 (10) ◽  
pp. 698-703.e2 ◽  
Author(s):  
Ming Ding ◽  
Yang Hu ◽  
Joel Schwartz ◽  
Woon-Puay Koh ◽  
Jian-Min Yuan ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Wei Zhang ◽  
Yadan Wang ◽  
Weijie Li ◽  
Guizuo Wang

Background: Two previous studies have shown that increased neutrophil to lymphocyte ratio (NLR) is associated with short-term prognosis in patients with acute respiratory distress syndrome (ARDS), but it is usually assessed as a single threshold value at baseline. We investigated the relationship between the baseline and the early change in NLR and 30-day mortality in patients with ARDS to evaluate the prognostic value of NLR baseline and NLR changes during the first 7 days after ICU admission.Methods: This is a retrospective cohort study, with all ARDS patients diagnosed according to the Berlin definition from the Medical Information Mart for Intensive Care III (MIMIC-III) database. We calculated the NLR by dividing the neutrophil count by the lymphocyte count. The multivariable logistic regression analysis was used to investigate the relationship between the baseline NLR and short-term mortality. Then the generalized additive mixed model was used to compare trends in NLR over time among survivors and non-survivors after adjusting for potential confounders.Results: A total of 1164 patients were enrolled in our study. Multivariable logistic regression analysis showed that after adjusting for confounders, elevated baseline NLR was a significant risk factor predicting 30-day mortality (OR 1.02, 95%CI 1.01, 1.03, P = 0.0046) and hospital mortality (OR 1.02, 95%CI 1.01, 1.03, P = 0.0003). The result of the generalized additive mixed model showed that the NLR decreased in the survival group and increased in the non-survival group gradually within 7 days after ICU admission. The difference between the two groups showed a trend of increase gradually and the difference increased by an average of 0.67 daily after adjusting for confounders.Conclusions: We confirmed that there was a positive correlation between baseline NLR and short-term mortality, and we found significant differences in NLR changes over time between the non-survival group and the survival group. The early increase in NLR was associated with short-term mortality in ARDS patients.


2019 ◽  
Author(s):  
Tiago L Passafaro ◽  
Denise Van de Stroet ◽  
Nora M Bello ◽  
Noel H Williams ◽  
Guilherme J M Rosa

2016 ◽  
Vol 11 (2) ◽  
pp. 190-195 ◽  
Author(s):  
Xin Xu ◽  
Guoyong Ding ◽  
Ying Zhang ◽  
Zhidong Liu ◽  
Qiyong Liu ◽  
...  

AbstractObjectiveStudies quantifying relationships between floods and diarrheal diseases have mainly been conducted in low-latitude regions. It’s therefore increasingly important to examine these relationships in midlatitude regions, where they may have significant public health implications. This study aimed to examine the association between floods and bacillary dysentery in the city of Dalian, China.MethodsA generalized additive mixed model was applied to examine the association between floods and bacillary dysentery. The relative risk (RR) of flood impact on bacillary dysentery was estimated.ResultsA total of 18,976 cases of bacillary dysentery were reported in Dalian during the study period. Two weeks’ lagged effect was detected from the impact of floods on bacillary dysentery. The RR of flood impact on bacillary dysentery was 1.17 (95% CI: 1.03-1.33).ConclusionsFloods have significantly increased the risk of bacillary dysentery in Dalian. More studies should focus on the association between floods and infectious diseases in different regions. Our findings have significant implications for managing the negative health impact of floods in the midlatitude region of China. (Disaster Med Public Health Preparedness. 2017;11:190–195)


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