definition of favorable responsepredictor variableAims: Selection of patients who are viable candidates for cardiac resynchronization therapy (CRT), prediction of the response to CRT as well as an optimal definition of a favorable response, all require further exploration. The purpose of this study ...
where the outcomeYiis coded 0 or 1 for study subjecti,andxiis that subject's value of the predictor variable. Once again,ais a constant, in this case related to theprobabilityof the disease when the predictor is equal to zero, andbsummarizes the strength of the association; in this case...
Definitions of predictor variable noun a variable that can be used to predict the value of another variable (as in statistical regression) see more Cite this entry Style: MLA "Predictor variable." Vocabulary.com Dictionary, Vocabulary.com, https://www.vocabulary.com/dictionary/predictor variable...
predictor variable Predictory predigest predigested predigestion predikant predilect predilection predinner predischarge Prediscover prediscovery Predisponency Predisponent Predisponent causes predispose predisposed predisposing Predisposing causes predisposition ...
A function applied to the conditional expectation of the response variable before this is equated to the linear predictor (in a generalized linear model). Examples are the identity, log, and logit link functions. Cluster-specific coefficient of a covariate in a regression model for clustered data...
Answer and Explanation:1 Suppose x is a predictor variable used for predicting the explanatory or response variable. Then standard deviation of the predictor variable is... Learn more about this topic: Predictor Variable Overview, Definition & Examples ...
“Methods 2.5”. The primary outcomes measured in this task are the number of perseverative errors and the reaction time (RT). Reaction time refers to the interval between the presentation of a stimulus and the participant’s response to it. Measuring RT allows us to assess the speed of ...
in order to better characterize the important features for children obesity. We tried both RF and GBM models, in order to assess the robustness of the estimated ranks, and derived a consensus variable importance score for all the predictors by combining the predictions of the two models. This ...
However, the assumption in a Poisson regression model that the logarithm of the expected value of the response variable varies with a linear combination of the predictors may not be optimal hence we also fit a linear regression model to our data. These have been used successfully in previous ...
Understanding the Variability of Your Data: Dependent Variable Two "Sources" of Variability in DV (Response Variable) –Independent (Predictor/Explanatory) Variable(s) –Extraneous Variables Understanding the Variability of Your Data: Dependent Variable Two Types of Variability in DV –Unsystematic: chang...