With increasing numbers of SNP interaction studies, a rigorous comparison of the various variable selection procedures and the impact of the HWFR in LR for detecting SNP–SNP interactions is needed.

A key challenge for monetary policymakers is to predict where inflation is headed. One promising approach involves modifying a typical Phillips curve predictive regression to include an interaction ...

Regressions in a number of recent papers written by staff members of the World Bank and the IMF rely on an interaction variable (IAV) to establish the effects of foreign aid on economic growth or the ...

Statistical interaction corresponds to a departure from the additive effects of two or more variables in a linear model describing the relationship between an outcome and predictor variables.

Note that an interaction is very different from the dependence of the value of one explanatory variable on the value of another. It could well be that age and annual mileage vary independently in the ...

Missing values can be filled in using multiple imputation, but imputation is tricky if the regression includes interactions, squares, or other transformations of the regressors. In this paper, we ...

Overall, abiotic variables had the strongest individual contributions to the distribution of alpine tundra plants, with the importance of horizontal interaction variables exceeding that of vertical ...

Krems (Austria), August 19 th 2021 – How supportive social relationships between adolescents affect their social and emotional development has been captured for the first time in an integrative model.

Science X Science News Wire : New predictive math for problems with many variables and complex interactions -- a press release is provided to you ìas isî with little or no review from Science X staff.