Sentence examples for binary variables indicate the from inspiring English sources

Besides gender, nationality (German or other), and whether respondents have children, additional binary variables indicate the existence or non-existence of an acute or chronic disease as well as the presence of a serious illness among friends or family members.

State-level variables include the state population and binary variables indicating the political affiliation of the Governor.10 Equation (1) also includes an indicator variable denoting whether any of the household's members receives a scholarship or transfer from Prospera.

This is because the sign doublets transform the expression values into binary variables indicating the order of expression level between the genes in the gene pairs and the transformed binary values do not retain enough information to compute the class probability used for classification.

Lastly, binary variables indicated the presence/absence of internalizing and externalizing disorders.

We fit a model that contained standard prognostic variables and binary variables indicating the location of the metastasis.

Let variables x ∈ { 0, 1 } | A ′ | be binary variables indicating the presence/absence of arcs in a solution.

The list of binary variables indicating the presence of corresponding comorbidities, and key demographic variables along with their descriptions are presented in the additional file (see Appendix Tables C.1-C.4 in Additional file 1).

Also included was a set of binary variables indicating the urbanization level of a patient's NHI registration location that was measured according to population density and the local industrial pattern [ 10].

At the individual-level, we constructed binary variables indicating the dentist's gender (reference group: female) and year of graduation from dental school during 2001 2009 (reference group: before 2001).

The most common method to control for potential confounding by underlying comorbidity is to include a set of binary variables indicating the presence or absence of each individual comorbid condition of interest, potentially resulting in inadequate statistical power because estimation of more variables requires more degrees of freedom.

It also made sense to us to include a count of chronic conditions as well as binary variables indicating the presence of each chronic condition as a count of chronic conditions can be considered as a proxy for severity or the existence of comorbidities while different chronic conditions present different types and quantities of health care need.