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
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
Investigating Causal Factors of Shallow Landslides in Grassland Regions of Switzerland
Sign Up to like & getrecommendations! Published in 2021 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-2021-198
Abstract: Abstract. Mountainous grassland slopes can be severely affected by soil erosion. To better understand the regional differences of soil erosion patterns, we determine the locations of shallow landslides across different sites and aim at identifying… read more here.
Keywords: shallow landslides; explanatory variables; site; causal factors ... See more keywords
Understanding statistical principles in linear and logistic regression
Sign Up to like & getrecommendations! Published in 2018 at "Medical Journal of Australia"
DOI: 10.5694/mja17.00222
Abstract: HPF 1⁄4 high power field. u A introduce the concept of multivariable regression. A regression model establishes the relationship between one or more exposure, or explanatory, variables (such as height, weight and sex) and an… read more here.
Keywords: principles linear; statistical principles; outcome; regression ... See more keywords