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Adjusted hazard ratios derived from Cox's proportional hazards model and adjusted conditional survival curves were presented.
The figure also shows the difference between results from the initial velocity model and adjusted velocity model.
Unknown samples were compared to concurrently run standards using a one-site competition model and adjusted for extraction efficiency.
We used a linear repeated measure mixed model and adjusted for study, age, gender, baseline MMSE, baseline CDR and APOE e4 status.
Results from a linear mixed model and adjusted for age, gender and BMI.
All covariates were subsequently entered into the model and adjusted RR values were calculated.
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After casting, FITTINGS are held to match each LOOK to a model and adjust the clothes accordingly.
Segregating and non-segregating mixtures have been used to test the model and adjust unknown parameters.
We then use Matlab/SimPowerSystem™ to develop a simulation model and adjust the model parameters using experimental data.
All models estimated with a linear probability model and adjust for personal characteristics, and lagged state and year fixed effects.
Several models were developed: unadjusted (model 1) and adjusted by age (model 2).
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