Implications of confounding from unmodeled interactions between explanatory variables when using latent variable regression models to make inferences
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Chemometrics"
DOI: 10.1002/cem.3531
Abstract: With linear dependency between the explanatory variables, partial least squares (PLS) regression is commonly used for regression analysis. If the response variable correlates to a high degree with the explanatory variables, a model with excellent… read more here.
Keywords: explanatory variables; make inferences; implications confounding; confounding unmodeled ... See more keywords
The number needed to treat adjusted for explanatory variables in regression and survival analysis: Theory and application
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9418
Abstract: The number needed to treat (NNT) is an efficacy index commonly used in randomized clinical trials. The NNT is the average number of treated patients for each undesirable patient outcome, for example, death, prevented by… read more here.
Keywords: explanatory variables; regression; number needed; needed treat ... See more keywords
Efficient estimation of multi-level models with strictly exogenous explanatory variables
Sign Up to like & getrecommendations! Published in 2020 at "Economics Letters"
DOI: 10.1016/j.econlet.2020.109667
Abstract: Abstract This paper shows that several moment redundancy results developed for panel data models continue to hold for multi-level models with strict exogenous explanatory variables, which establishes the efficiency of some estimators for multi-level linear… read more here.
Keywords: multi level; level models; efficient estimation; exogenous explanatory ... See more keywords
Spatial configuration of groundwater potential zones using OLS regression method
Sign Up to like & getrecommendations! Published in 2021 at "Journal of African Earth Sciences"
DOI: 10.1016/j.jafrearsci.2021.104147
Abstract: Abstract An attempt has been made in this study to analyze the hotspots and cold spots of groundwater potential zones. First, a total of nine significant factors were identified (Slope, distance to faults, distance to… read more here.
Keywords: groundwater potential; ols regression; explanatory variables; spatial configuration ... See more keywords
On exploratory analytic method for multi-way contingency tables with an ordinal response variable and categorical explanatory variables
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Multivariate Analysis"
DOI: 10.1016/j.jmva.2021.104793
Abstract: Abstract In this paper, we propose a new model-free exploratory method for descriptive modeling that identifies and measures the regression dependence between an ordinal response variable and categorical (ordinal or nominal) explanatory variables in a… read more here.
Keywords: checkerboard copula; response variable; explanatory variables; copula ... See more keywords
Exploring urban land surface temperature using spatial modelling techniques: a case study of Addis Ababa city, Ethiopia
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-55121-6
Abstract: Urban areas worldwide are experiencing escalating temperatures due to the combined effects of climate change and urbanization, leading to a phenomenon known as urban overheating. Understanding the spatial distribution of land surface temperature (LST) and… read more here.
Keywords: land surface; model; explanatory variables; surface temperature ... See more keywords
Spatial heterogeneity and explanatory variables of surface soil moisture changes in the Northwest Shandong Plain, China
Sign Up to like & getrecommendations! Published in 2025 at "Geocarto International"
DOI: 10.1080/10106049.2025.2514238
Abstract: Abstract This study explored the spatial variability of surface soil moisture (SSM) and its explanatory variables during distinct monsoon periods in the Northwest Shandong Plain using geo-statistical techniques and the Optimal Parameters-based Geographical Detector (OPGD)… read more here.
Keywords: soil moisture; explanatory variables; surface soil; northwest shandong ... See more keywords
Analysis of the Explanatory Variables of the Differences in Perceptions of Cyberbullying: A Role-Based-Model Approach
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Interpersonal Violence"
DOI: 10.1177/0886260518772108
Abstract: The controversies that exist regarding the delimitation of the cyberbullying construct demonstrate the need for further research focused on determining the criteria that shape the structure of the perceptions that adolescents have of this phenomenon… read more here.
Keywords: explanatory models; construct; explanatory variables; analysis explanatory ... See more keywords
Step away from stepwise
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Big Data"
DOI: 10.1186/s40537-018-0143-6
Abstract: BackgroundStepwise regression is a popular data-mining tool that uses statistical significance to select the explanatory variables to be used in a multiple-regression model.FindingsA fundamental problem with stepwise regression is that some real explanatory variables that… read more here.
Keywords: big data; regression; away stepwise; explanatory variables ... See more keywords
Using random forest algorithm for glomerular and tubular injury diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.911737
Abstract: Objectives Chronic kidney disease (CKD) is a common chronic condition with high incidence and insidious onset. Glomerular injury (GI) and tubular injury (TI) represent early manifestations of CKD and could indicate the risk of its… read more here.
Keywords: diagnosis; ckd; random forest; explanatory variables ... See more keywords
Key SDG7 Factors Shaping the Future of Clean Coal Technologies: Analysis of Trends and Prospects in Poland
Sign Up to like & getrecommendations! Published in 2024 at "Energies"
DOI: 10.3390/en17164133
Abstract: This article presents the results of an analysis aimed at verifying the relationship between the implementation of SDG Goal 7 and the use of clean coal technologies in Poland. Clean coal technologies in the United… read more here.
Keywords: coal technologies; explanatory variables; energy; coal ... See more keywords