Sentence examples for multiple continuous covariates from inspiring English sources
This approach does not allow considering multiple continuous covariates (i.e. gene expression) and factors (e.g. race, gender, therapy and progression) or interactions simultaneously.
We describe how to (1) gather the required inputs for the sample size calculation, (2) choose appropriate software to perform the calculation, and (3) address practical considerations such as missing data, multiple aims, and continuous covariates.
Additional models using analysis of variance (ANOVA) (to explore the effect of gender), ANOVA (to explore the effect of continuous covariates) or multiple linear regression (to investigate the relative influence of relevant factors and their interactions in a multivariate model) were used to determine the influence of various predictors on cIMT (or other outcome variables of interest).
In order to use the information from the auxiliary variables to improve the marginal survival estimate, Hsu et al. considered a situation of right censored data with possibly multiple time-independent or time-dependent continuous covariates and proposed deriving two risk scores [ 17].
The disadvantages of C&RT lie in having to decide what threshold to use for continuous covariates, and to correct for multiple testing and overfitting.
The Toyoda model utilised a common method for determining the value at which continuous covariates were dichotomised, that is, multiple testing in search of the 'optimal' value.
In this article, we propose to balance continuous covariates based on Kernel density estimations, which keeps the continuity of the covariates.
We extend the discussion to regression models with continuous covariates.
But breakdown of continuous covariates into subcategories often changes the nature of the covariates and makes distributional balance unattainable.
Continuous covariates are typically discretized in order to be included in the randomization scheme.
Also, power loss could be nontrivial if balancing distributions of important continuous covariates were ignored even if adjustment is made in the analysis for important covariates.
