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Several research adopts SFR model for adjusting UFLS [19, 20].
Literature suggests that the shortcomings in the completeness of reporting of parities may be achieved by using the P/F ratio method of the relational Gompertz model for adjusting upwards the underreporting for births, after correcting for defective parities using the el-Badry technique (United Nations 1983, 2004; Moultrie et al. 2013).
The random effect was entered into this model for adjusting the clustered data structure.
Different blocks of variables were tested to find the best model for adjusting for potential confounding.
The model for adjusting clonality showed that BaP induction was 121-fold higher than control.
For timed endpoints such as mortality we will use the Kaplan-Meier survival analysis followed by multivariable Cox proportional hazards model for adjusting for baseline variables.
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For both end points, the same model for adjusted Cox regression with multiple imputation of systolic blood pressure as additional covariate was applied.
Interestingly, in our model for adjusted education minutes the bedside minutes predictor displayed a negative association.
The multivariable model for adjusted bedside minutes detected five significant associations presented in Table 5.
The model for adjusted bedside minutes captured a positive association with each additional participant in rounds.
To this end, we developed and compared 10 computational models for adjusting the decision threshold.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com