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The main predictor variable of this study is disaster resilience leadership (DRL).
The main predictor variable of interest in our analysis is legal status, which was self-reported by individuals for each year lived outside of Senegal.
A series of logistic regression models were used to assess the association of migraine on a variety of outcome measures in persons with MS. The main predictor variable was migraine status.
"Year" was the main predictor variable as to assess whether the outcome changed over time.
The main predictor variable was patient sex.
The main predictor variable was "observed technique".
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Statistically significant variables such as lack of sun exposure, inadequate dietary intake, season, clothing, comorbidities, low body mass index, age, skin pigmentation, use of antiretroviral therapy and anti-TB drugs, and socioeconomic status were identified as the main predictor variables of vitamin D status.
A priori we chose the following variables as biologically important: the main predictor variables (either appropriate empiric therapy or time to appropriate therapy), methicillin resistance, age and severity of illness score.
Descriptive characteristics of the outcome, main predictor variables and control variable are provided in Table 1.
Anthropometric indices were tested separately in logistic regression models as main predictor variables for each outcome variable (Table 4).
The main predictor variables were the use of home and community-based services and of medical services.
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