covariate

A variable that may affect the outcome of a clinical trial, either because it has a direct causal relationship to the outcome or because it influences the outcome in a non-causal fashion.

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We checked the balance for each covariate, which provides reasonable assurance on that point.

Estimating the Effects of [PM.sub.2.5] on Life Expectancy Using Causal Modeling Methods

Keywords: career planning, career readiness, STEM initiatives, negative career thinking, covariate adjustment

The Influence of Career Planning on Career Thoughts in STEM-Interested Undergraduates

A common approach is to assume an empirical model for the covariate of interest based on the observed data, such as a linear mixed effects model.

Mixed Effects Models with Censored Covariates, with Applications in HIV/AIDS Studies

The geology map was also used as a covariate input in the predictive models.

Tree-based techniques to predict soil units

Appendix I.--Top 20 models based on AICc weight from post-hoc analyses to evaluate the influence of the detection model on the estimated effect size of the covariate Rock on occupancy.

Winter habitat associations for spotted skunks (Spilogale spp) in South-Central Wyoming

Objective--To determine the pharmacokinetics of voriconazole administered PO with or without food to red-tailed hawks (Buteo jamaicensis) and whether any observed variability could be explained by measured covariates to inform dose adjustments.

Pharmacokinetics of a single dose of voriconazole administered orally with and without food to redtailed hawks (Buteo jamaicensus)

Table-3: Covariate analysis of body mass index (BMI) and the variables.

Obesity and associated risk factors among students of health colleges of King Saud University, Saudi Arabia: A cross-sectional study

Suppose that the failure rate function of two-parameter Weibull distribution of NC machine tools under covariate [X.sub.i] is

Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions

We use the miRNA expression data (Level 3) of 548 patients with GBM downloaded from TCGA (http://cancergenome.nih.gov) in order to illustrate the effectiveness of identifying prognostic miRNAs in glioblastoma using the joint covariate selection method.

Joint Covariate Detection on Expression Profiles for Selecting Prognostic miRNAs in Glioblastoma

Use instead the spreadsheet compare two group means, even though that spreadsheet as yet allows adjustment for only one covariate. I have also provided more analyses and comments in relevant cells for SDs representing individual responses.

Spreadsheets for Analysis of Controlled Trials, Crossovers and Time Series

###Covariance###With the Covariate###Without the Covariate

Analysis of Random Intercept and Slope Model (RISM) for Data of Repeated Measures from Hy-Line White Laying Hens

In cases where the covariate was associated significantly with the response variable, the relationship was assessed graphically on scatter plots with linear regression used to plot a trend line.

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