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Showing 1 to 12 of 12 for “"backward selection"”.
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New procedures for visualizing data and diagnosing regression models
… a new diagnostic method for regression called backward selection search. Backward selection search identifies a relevant feature set and a set of influential observations with good accuracy, given the difficulty of the problem, and additionally provides a description, in the form of a set of …
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Interpreting black-box models through sufficient input subsets
… simply implemented using instance-wise backward selection, and able to produce more concise rationales than existing techniques. We demonstrate the utility of our interpretation method on various neural network models trained on text, genomic, and image data.
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Mother-Offspring Relationships in Tibetan Macaques (<i>Macaca thibetana</i>) at Mt. Huangshan, China
… of behaviors. I calculated model optimization by backward selection was to predict the principal components based on the characteristics of the mother (i.e., age, parity, matriline size, and dominance rank) and offspring (i.e., age and sex). From these results, I concluded from mother and …
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Integrated Analysis of Molecular and Clinical Features in Melanoma Patients with Brain Metastases
… with no correlated variables in the model. After backward selection algorithm, the multivariable coxPH model identified low KPS, low T cell signature, and low monocytic lineage signature as independent predictors of shorter survival. Comparative analysis of MBMs from patients with MBMs-only showed …
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Cracking and Roughness of Asphalt Pavements Constructed Using Cement-Treated Base Materials
… are constructed mainly on rural facilities. A backward-selection model development technique was used to develop sets of prediction equations for roughness and cracking. Age, AC thickness, CTB thickness, and cement content were determined to be significant predictors of International Roughness …
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Some Advances in Classifying and Modeling Complex Data
… added. Specifically a group adaptive forward and backward selection (GFoBa) procedure is designed to select the significant adjustment terms.
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Development of an income-based hedonic monetization model for the assessment of aviation-related noise impacts
… explanatory variables were introduced, and a backward selection procedure was used so that the final regression contained only parameters that have a significant effect on WTP. The resulting model expressed WTP for noise abatement as a function of the city-level average personal income and an …
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Near-optimal inversion of incoherent scatter radar measurements: coding schemes, processing techniques, and experiments
… for the optimal design. The model order selection framework is applied to the problem at hand to find the optimal resolution. The results indicate that, compared with a long pulse, amplitude-modulated codes yield finer range resolutions with nearly similar parameter estimation errors or …
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Stroke and non-compliance with the therapeutic regimen among hypertensive men and women in Gaza Strip
… logistic regression model based upon the backward selection procedure and considering interaction terms with two different stress levels showed significant interaction for using excessive salt at meals interacting with low level of stress (LLS) in relation to the development of stroke …
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Predição genômica via redução de dimensionalidade em modelos aditivo dominante
… a Seleção Genômica Ampla (Genome Wide Selection – GWS) cuja abordagem envolve a cobertura completa do genoma utilizando milhares de marcadores SNPs (Single Nucleotide Polymorphisms). O objetivo é estimar o mérito genético dos indivíduos e para tal, as pesquisas realizadas na GWS se …
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Eficacia de la radiofrecuencia convencional vs pulsada sobre el dolor y la funcionalidad en los pacientes con gonartrosis moderada-severa remitidos a la unidad del dolor
… se realiza mediante regresión de Cox (backward selection). *Resultados:* 198 participantes en el ensayo, 10 exclusiones. Las características de los pacientes fueron similares entre los grupos de RFC (n=93) y RFP (n= 95). Obtuvimos un alivio máximo del dolor de 2.6 puntos en escala EVA …
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A Logistic Regression Analysis of Utah Colleges Exit Poll Response Rates Using SAS Software
In this study I examine voter response at an interview level using a dataset of 7562 voter contacts (including responses and nonresponses) in the 2004 Utah Colleges Exit Poll. In 2004, 4908 of the 7562 voters approached responded to the exit poll for an overall response rate of 65 percent. Logistic …