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Interventional Medicine and Applied Science
Authors: Mojgan Karimi-Zarchi, Mansour Moghimi, Hajar Abbasi, Amaneh Hadadan, Razieh-Sadat Tabatabaei, Atiyeh Javaheri, and Hossein Neamatzadeh

pooled OR estimate of each study was calculated by the fixed-effects model (the Mantel–Haenszel method), otherwise the random effects model (the DerSimonian–Laird method) was utilized. Furthermore, to explore the source of between-study heterogeneity, the

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Interventional Medicine and Applied Science
Authors: Mojgan Karimi-Zarchi, Mansour Moghimi, Hajar Abbasi, Amaneh Hadadan, Razieh-Sadat Tabatabaei, Atiyeh Javaheri, and Hossein Neamatzadeh

pooled OR estimate of each study was calculated by the fixed-effects model (the Mantel–Haenszel method), otherwise the random effects model (the DerSimonian–Laird method) was utilized. Furthermore, to explore the source of between-study heterogeneity, the

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Journal of Behavioral Addictions
Authors: Katajun Lindenberg, Carolin Szász-Janocha, Sophie Schoenmaekers, Ulrich Wehrmann, and Eva Vonderlin

Fixed effects Initial status Intercept (γ 00 ) 28.24 35.45 30

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Fixed Effects estimator is impossible due to the presence of dependent variables with constant values over time and the resulting problem of collinearity. Taking into account the high heterogeneity of the sample and the resulting possibility of the

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errors. The choice between a fixed effects or random effects model was justified by performing a Hausman test. We present the estimation results for each sub-sample in Table 6 . Table 6. Estimation results of panel regression for sub-samples Variable

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Preliminary analyses were conducted to ensure that there was no multicollinearity among the independent variables. The dataset was analyzed using various regression models including the fixed effects and random effects models, but these did not meet the

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, German yields are of the same maturity as periphery yields in the respective equation.) Intercept α is common for all countries (Chow test shows that no country-specific fixed effects are needed in the model). 5 Finally, ϵ denotes the error term. Our

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). Figure 4. DCM results in IGD subjects when actively gaming problematically and during recovery. (A) The nodes that were selected for further analysis. (B) Changes in the fixed effects between the ACC and lentiform

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1+ dependent variables, and the lmer function for expenditure (log dollar value) when respondents reported betting. Both random effects (individual ID) and fixed effects (all other variables) were specified. The unit of analysis was each day for each

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Journal of Behavioral Addictions
Authors: Hyeonseok Jeong, Jin Kyoung Oh, Eun Kyoung Choi, Jooyeon Jamie Im, Sujung Yoon, Helena Knotkova, Marom Bikson, In-Uk Song, Sang Hoon Lee, and Yong-An Chung

, BSCS, BIS/BAS were assessed by linear mixed model. Group, time, and group-by-time interaction terms were included as fixed effects and within-subject factor was considered as a random effect. In addition, within-group changes were examined for each

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