Sentence examples for binary exposure variables were from inspiring English sources

Effects of binary exposure variables were analysed using discordant pairs ratios, comparing each control period separately against the event period.

Under the Bayesian framework, Prescott and Garthwaite (2005) proposed methods for analyzing matched case-control studies in which a binary exposure variable is subject to misclassification.

1– 9 One of the challenges to implementing sensitivity analysis for exposure misclassification of a binary exposure variable is the process of specifying the sensitivity and specificity values.

All exposure variables were treated as linear.

Falls and any rider injury were used as binary variables, and the association with different exposure variables was examined.

Such ecologic exposure variables are the aggregated form of binary exposures on the individual level.

We created a series of binary exposure variables, each equal to 0 if the quantitative exposure was below a specified cutoff value and 1 if the exposure exceeded the cutoff.

From the assessment of being HIV-affected, we derived binary exposure variables for the different ways in which older people could be affected by HIV/AIDS.

However, choosing different cut-points for binary exposure variables yielded similar results for all exposure categories.

Fetal hypoxia status, the binary exposure variable of interest (X), was missing in approximately one half of our study subjects.

An independent study using maternal education as a binary exposure variable suggests that our bootstrap results are consistent with results from the conventional bootstrap method.