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The propensity scores were derived by performing a logistic regression.
The propensity score was obtained by performing a logistic regression model with serum potassium ≥5.0 mmol/l as an outcome.
We have attempted to minimise for this by performing a logistic regression; however, we acknowledge the inherent limitations of such a retrospective study design.
Although we corrected for possible confounding by performing a logistic regression analysis and by dividing patients according to operation time, we can not exclude confounders unaccounted for.
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We assessed the fixed effect of trial on move quality by performing a hierarchical logistic regression, controlling for the random effect of participant and instance on the slope and intercept of the regression.
This was done by performing a binary logistic regression analysis.
Subsequently regression coefficient estimates were derived by performing a multivariable logistic regression analysis.
We have carried out so by performing a multivariable logistic regression in one cohort and then validating it in another.
Secondly, we constructed a multivariate model predicting the probability of mortality at 3 months by performing a stepwise logistic regression using baseline risk factors at the time of ICU admission.
The repeated response data at baseline, 7 weeks and 14 weeks were compared between intervention groups by performing a GEE logistic regression analysis implemented using SAS Proc Genmod using an exchangeable correlation structure for the repeated binary responses within participant for each of the HIV knowledge questions.
The propensity score was calculated by performing a binary logistic regression based on liver function and tumor characteristics, which included Child Pugh class, ascites, tumor type, maximum tumor size (>5 cm), tumor volume (>50%), number of tumors (>3), EHS and PVI.
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by performing a random
by performing a direct
by performing a detailed
by performing a full
by performing a numerical
by fitting a logistic
by performing a multivariate
by performing a parametric
by performing a quantitative
by performing a principal
by performing a dynamic
by applying a logistic
by performing a differential
by performing a hierarchical
by performing a new
by using a logistic
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