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All factors were analysed as binary or continuous variables unless otherwise stated.
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We also performed multivariate analyses considering the joint presence of low eGFR and cataract surgery and similarly observed a positive association with pentosidine levels (either as a binary or continuous variable) even after adjustment for age and other covariates (Supplementary Tables S2 and S3).
Odds ratios (OR) of binary, categorical, or continuous variables were determined by logistic regression (multivariate or univariate) and adjusted to age and sex if indicated.
PHQ8 was employed as either a binary (≥10) or continuous variable.
Chi-square tests were used to assess associations of categorical variables, and t-tests or Mann-Whitney U tests were used to assess associations between binary and continuous variables.
Cost vectors associated with binary and continuous variables.
The results indicate that reasonable solutions have been generated for both binary and continuous variables.
The model is analyzed with respect to the required numbers of binary variables, continuous variables, and constraints for a problem with n jobs and m machines.
The above optimization problem is a mixed binary integer programming problem, since it involves both binary and continuous variables.
Unlike usual approaches using nonlinear equations, the model uses a linear objective function and linear constraints, binary and continuous variables.
The mathematical modeling of the superstructure has a mixed set of binary and continuous variables and results in a mixed-integer optimization model.
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