Therefore, a practitioner may wish to choose a less accurate model for content recommendation that does not place high importance in features related to “clickbait” articles (which may hurt user retention), even if exploiting such features increases the accuracy of the model in cross validation. ...
In this editorial, I point out that correlations can serve two independent purposes: they can be measures of effect size in themselves and their function as regression coefficients can be used to estimate proportion of variance in one measure for which another measure accounts. Using examples ...
Pearson correlation coefficients, independent t-test, one-way analysis of variance and multiple linear regression model were used to analyze the data. Results The average total score of sexual self-care in reproductive age women participating in the research was 70.66% ± 12.52%. In ...
Data was resampled 5000 times using a bootstrapping approach to construct 95% confidence intervals (CIs) for the indirect effects (those that do not include zero indicate that an indirect effect is statistically significant). The path coefficients are the beta coefficients that represent the ...
In order to use SLISE you need to have your data in a numerical matrix (or something that can be cast to a matrix), and the response as a numerical vector. Below is an example of SLISE being used for robust regression: library(slise) library(ggplot2) set.seed(42)x<-seq(-1,1,...
The adjustment cost coefficients c+ and c− affect the autocorrelation and volatility of the firm-level investment rate. I set c+ to 0.12 and c− to 4, capturing the effect that it is much more costly to disinvest than to make a positive capital expenditure. These two adjustment cost ...
For instance, reviewers might be less likely to write textual reviews in winter months, as they might be wearing gloves. Similarly, some fountains might be switched off during winter, leading reviewers to complain. Note that we prefer a negative binomial regression model over a zero-inflated ...
(AMO). The model provides a robust way of estimating the response coefficients by considering pooling of information across groups of states that belong toTornado Alley,Dixie Alley, andOther States, thereby reducing their uncertainty. The influence of the anthropogenic factors and the large-scale ...
These models employ spatial random effects and regression coefficients that allow us to incorporate an origin function, a destination function, a worker attributes component, and spatial structure to explain the variation in the origin–destination flows. To facilitate computation and search, over the ...
Pearson's or Spearman's correlation coefficients were calculated to screen independent variables potentially associated with the DFLE65s. Then, multivariate linear regression analyses were conducted for the selected 24 independent variables after adjusting for the proportion of older people (65 years or ...