Simultaneous Selection of Variables and Smoothing Parameters in Geoadditive Regression Models

2007 ◽  
pp. 189-196
Author(s):  
Christiane Belitz ◽  
Stefan Lang
Keyword(s):  
Regression Models ◽  
Selection Of Variables ◽  
Smoothing Parameters ◽  
Simultaneous Selection ◽  
Selection Of

scholarly journals Various Statistical Approaches to Assess and Predict Carcass and Meat Quality Traits

Foods ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 525 ◽  
Author(s):  
Marie-Pierre Ellies-Oury ◽  
Jean-François Hocquette ◽  
Sghaier Chriki ◽  
Alexandre Conanec ◽  
Linda Farmer ◽  
...  
Keyword(s):  
Meat Quality ◽  
Regression Models ◽  
Pareto Front ◽  
Beef Industry ◽  
Variable Clustering ◽  
Trade Offs ◽  
Interesting Approach ◽  
Simultaneous Selection ◽  
Statistical Approaches ◽  
Selection Of

The beef industry is organized around different stakeholders, each with their own expectations, sometimes antagonistic. This article first outlines these differing perspectives. Then, various optimization models that might integrate all these expectations are described. The final goal is to define practices that could increase value for animal production, carcasses and meat whilst simultaneously meeting the main expectations of the beef industry. Different models previously developed worldwide are proposed here. Two new computational methodologies that allow the simultaneous selection of the best regression models and the most interesting covariates to predict carcass and/or meat quality are developed. Then, a method of variable clustering is explained that is accurate in evaluating the interrelationships between different parameters of interest. Finally, some principles for the management of quality trade-offs are presented and the Meat Standards Australia model is discussed. The “Pareto front” is an interesting approach to deal jointly with the different sets of expectations and to propose a method that could optimize all expectations together.

scholarly journals Examination of the association of steroids with fluid accumulation in critically ill patients, considering the possibility of biases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Amit Frenkel ◽  
Ran Abuhasira ◽  
Yoav Bichovsky ◽  
Anton Bukhin ◽  
Victor Novack ◽  
...  
Keyword(s):  
Fluid Balance ◽  
Regression Models ◽  
Positive Fluid Balance ◽  
Fluid Accumulation ◽  
Glucocorticoid Treatment ◽  
The Third ◽  
Icu Stay ◽  
Selection Of Variables ◽  
Mineralocorticoid Activity ◽  
Selection Of

AbstractGlucocorticoids might have significant influence on positive fluid balance, mostly due to their mineralocorticoid effect. We assessed the association between glucocorticoid therapy and fluid balance in septic patients, in the intensive care unit (ICU). We considered two definitions of exposure: daily exposure to glucocorticoids and glucocorticoid treatment at any time. Of 945 patients, 375 were treated with glucocorticoids in the ICU. We applied four regression models. In the first, fluid balance did not differ during days with and without glucocorticoid treatment, among patients treated and not treated with glucocorticoids in the ICU. In our second model, daily fluid balance was increased in patients who were ever treated with glucocorticoids during their ICU stay compared to untreated patients. In the third model, which included only patients treated with glucocorticoids during their ICU stay, glucocorticoid treatment days were not associated with daily fluid balance. In the last model, on "steroid-free days", patients who received glucocorticoid treatment during their ICU stay had a positive fluid balance compared to those who were never treated with steroids. Despite their known mineralocorticoid activity, glucocorticoids themselves appear not to contribute substantially to fluid retention. This work highlights the importance of precise selection of variables to mitigate biases.

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