My other recommendations would be blood pressure measurement (once every year) and screening for colorectal cancer (at variable intervals).
Fetuin-A concentration was entered into models as a first-order continuous variable after screening for thresholds and curvilinear associations.
Note that, when disease status is included as a fixed effect, simultaneously inspecting R while screening for clustering can provoke univariate variable selection.
Potential covariates were screened for surrogate exposure variables that were not associated with the outcome, and any such variables were excluded from the propensity score model.
A full factorial design was used to screen for important design variables (i.e. carrier electrolyte concentration, pH, and separation temperature), and a modified simplex was employed in a final optimisation step.
Because our telephone questionnaire needed to screen for all relevant variables (age, native language, MRI safety issues, etc)., it contained only a very abbreviated assessment of belief.
Univariate logistic regression analysis was used to screen for potential predictor variables, and a stepwise selection process was used to generate a multivariate model for potential predictors of infusion reactions.
Univariate logistic analysis was used to screen for potential predictive variables, and a stepwise selection process was used for the multivariate regression model for identifying the risk factors for serious infections, interstitial lung disease (ILD), hepatic function abnormalities, cardiac disorders and death.
Empirically, we screened for predictivity using variables previously associated (p < 0.15) with lymphocyte distributions in cord blood (Hertz-Picciotto et al. 2002), including season, length of labor, parity, number of previous stillbirths, medication during delivery, working status of mother, maternal education, and exposure to active and secondhand smoke.
Each variable was screened for missing values; those variables with more than 30% of values missing were dropped from the analysis to restrict the model to include only routinely measured variables.
