Sentence examples for risk covariates from inspiring English sources

Under the QNM prior for β, the Bayes factor is simply B F (y ) = p + T p (1 + I τ ^ ) p / 2 + 1 exp (T 2 ), (3)where T = I τ σ ^ 2 (1 + I τ ^ ) β ^ ′ Σ ^ β − 1 β ^, β ^ is the maximum likelihood estimate of β, adjusted by other risk covariates when necessary, Σ ^ β − 1 is the corresponding covariance matrix estimate and τ ^ and σ ^ 2 are the empirical Bayes estimates.

Using logistic regression, we calculated each individual's propensity to have joint precipitation of MSU crystals based on all relevant cardiovascular risk covariates available at baseline.

The coefficients from this model will be used as weights to create an asthma risk score for each subject, which is the weighted sum of these risk covariates.

DSPN is a symmetrical, length-dependent sensorimotor polyneuropathy attributableto metabolic and microvessel alterations as a result of chronic hyperglycemia exposure (diabetes) and cardiovascular risk covariates.

No matter the number of risk covariates, many will re-enter a hospital; and as risk factors increase so too does the likelihood of a readmission.

Overall, controlling for diabetes risk covariates did not alter the significance of the relationship, although various factors did alter the magnitude of impact of PM2.5 on diabetes.

Total hyperglycemic exposure is perhaps the most important risk covariate (5, 7).

Covariate specific predictions show great differences in the probabilities for sick leave, disability and work for patients with assumed high risk and low risk covariate characteristics.

Results from covariate adjusted analyses show great differences in sickness absence and work for patients with assumed high risk and low risk covariate characteristics, for example based on age, type of work, income, health score and type of diagnosis.

Our findings, however, should not allay concerns about IG as a risk covariate for macro- and microvessel complications since IG usually leads to T2DM, which is known to cause such complications.

To amplify these concerns, in established T2DM, chronic hyperglycemia is a strong risk covariate for DSPN with models of exponents of A1C, duration of diabetes (years), and type of diabetes or age of onset of diabetes correlating with and predicting the severity of DSPN (25– 25).