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The effect of treatment was assessed using a multivariable model, which included treatment group, the visit number and their interaction.
This difference was also observed using a multivariable model (adjusted HR = 3.76; 95% CI 1.05 13.43; P = 0.041).
The relationship between serum glucose variability (SD) and cerebral metabolic distress was assessed using a multivariable model.
We shall analyse our primary outcome, the PSQI, at the level of the patient using a multivariable model which adjusts for baseline PSQI and for the clustering due to practices.
We used linear regression analysis to examine the association between SNPs and log naevus counts using a multivariable model, adjusted for race/ethnicity, sex and Sun Sensitivity Index (Data S2; see Supporting Information).
By using a multivariable model with an interaction term, we were able to estimate the effect of residing in a Q fever-affected area in 2008 2010, and not the already existing differences before the outbreak.
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This work presents the simultaneous synthesis, design and control of an activated sludge process using a Multivariable Model-based Predictive Controller (MPC).
We compared baseline characteristics and used a multivariable model to adjust and compare inhospital all-cause mortality across the Cr-C groups.
We used a multivariable model which added individual-level stress and other individual factors that are potentially associated with ischemic heart disease, including past medical history, smoking status, drinking behavior, and hours of walking per day.
Next, we compared case-control status with nurse rating of risk of near or actual cardiopulmonary arrest, and then used a multivariable model to evaluate relations with the maximum Bedside PEWS score (for the 12 hours of the case-control study), the nurse rating of patient risk, nurse experience and the nurse-patient ratio.
Relationship between ARF etiology and hospital mortality was assessed using a multivariable regression model adjusting for confounders.
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