Main regression sample (entropy-balanced) 1,290 7,696 Panel B: Pre-treatment covariate balance -- Entropy balancing Empty Cell Before Entropy Balancing After Entropy Balancing Empty Cell Treatment Control Diff.
The results of the logistic regression model considering situational change type and group and interactions of these predictors are displayed in Fig.1b. Significant interactions of situational change type and group were only present for character-character, temporal, large-space and scene changes. In ...
The relationship between MoV and precipitation is complex. Depending on the season, 38% to 41% of land surface showed better predictability with the non-linear Random Forest (RF) models, 26% to 27% with the Linear Regression (LR) models, while in the remaining area (36%), no model met ...
addressing the question whether individual stock momentum is subsumed by country or industry momentum.We examine these issues by introducing a portfolio-based regression approach, which allows to test hypotheses about the existence and relative importance of multiple effects using standard statistical ...
In fact, well-being stud- ies are often intertwined with general mental health studies due to the lack of robust and clear defini- tions. For instance, the terms mental health and mental or psychological well-being are often used interchangeably in early studies (Fusar-Poli et al. 2020). ...
Yet, our coefficients of interest, the environmental measures, the early adoption of smart technologies, and the economic preferences, stay robust and change little in magnitude and significance whether or not education is included in the regression models. Further, Table E.1 indicates that our ...
Linear regression models and SPLS models were performed to examine the relationship between the m/z features and the variables of interest (that is, segmental transit time and pH). The modelling was performed using the SmartPill-derived data and the 24 h postprandial urine metabolome collected ...
(i), the number of changes irrespective of the type of change was counted for each 2s interval and fed into the regression analysis as one predictor (ranging from 0 to 5) and the other predictor was the group (adolescent [0] vs adults [1]). The outcome was if there was a response ...
Regression analysis is a statistical modeling technique that is used to measure a relationship between one dependent variable and one or more independent variables. It predicts the behavior of the dependent variable based on the changes in the independent variabl...
without sentiment variables. For each DV, the difference is greater than 10 (cascade size: 303.43; lifetime: 110.56; structural virality: 170.01), indicating strong support for the corresponding candidate models43. Therefore, the inclusion of sentiment variables in the regression model is to be ...