Sentence examples for variable living from inspiring English sources

This last variable, living conditions prior to stroke, is not coded uniformly across centers and hence we accordingly use only categories that are available.

Another variable, "living in rural regions" (Table 3) was protective for the lower socioeconomic population.

Missing values for the variable "Living with persons under 18 years" were placed in the category "not living with persons under 18".

Would you say you are… 1 Living comfortably, 2 Doing alright, 3 Just about getting by, 4 Finding it quite difficult or 5 finding it very difficult?' Data were recoded into a binary variable; living comfortably/doing alright v not.

For all imputation analyses, imputation models included the complete outcome variable (living at home at wave 9) and the complete auxiliary variable (GHQ at wave 9, included as a 4-level ordinal variable).

The latter item was quantified using a dichotomous proxy variable – living in a brick house (versus shack, hut, backyard dwelling, "wendy house" [simple wooden one-room structure], or apartment) – because it stratifies relative higher income (who could afford to rent or own a brick house) and lower income families within the population surveyed in this study.

The authors prefer this model to analyzing mortality as a binary variable (lived versus died) using binary data analysis techniques such as logistic regression.

Concerning household-related variables, living in a household of three to four members, as well as living in makeshift house and a socioeconomic status index below the median threshold were positively associated with DENV seropositivity (Table 4).

Because the variables "living alone" and "type of housing" were highly correlated, we chose to retain only "living alone".

Six items on type of household were collapsed into three dummy variables: living in a nuclear family, living with extended family, and living with others.

The remaining four variables (living in the former German Democratic Republic, disease duration, age, education) were not significant predictors in any model.