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For example, if there were large differences in performance between PPTs and CBTs, then the addition of CBT to the model would decrease the total variance.
Firstly, in terms of finite difference simulations, researchers consider that the introduction of the low-velocity (V p = 1500 m/s) water layer into the velocity model would decrease the maximum grid size and time step and increase the computation time and number of time steps, ultimately causing numerical instabilities.
The paper, which Sherman co-authored and which was published in Harm Reduction Journal in 2017, found that the model would decrease overdose medical care, increase medication-assisted treatment and would save the city a net $5.98 million per year.
Moreover, adding these covariates to the model would decrease its sensitivity to the other covariates.
Since insulin is not routinely measured, we tested whether its removal from the model would decrease the accuracy of the estimate.
Since skinfolds are not routinely measured, we tested whether their removal from the model would decrease the accuracy of the estimate.
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It was hypothesised that the caseload model of care would decrease the caesarean section rate from 19%to14%4%.
A simpler model would potentially decrease variation between animals and facilitate efficient animal use.
If all socio-demographic determinants were set to the most favourable value in a predictive model, combined perinatal morbidity would decrease with 15 to 39%% in these municipalities.
When comparing RLAI and OLAI, the model predicts that OLAI would decrease 5-year costs by €2,940 (Standard Deviation between replications 300.83), and result in a QALY and LY gains of 0.07 (SD 0.019) and 0.04 (SD 0.025), respectively.
Age was not included in this model because as a continous variable it would decrease the reliability of the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com