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Also, the authors evaluated potential risk factors among these patients by applying a multivariable logistic regression model.
The impact of independent variables on hypothyroidism was estimated as crude and adjusted odds ratios with 95% confidence intervals by applying a multivariable logistic regression model.
The aim of this study was to present among others the clinical and laboratory characteristics of a significantly large population of children presenting with BM, and to identify independent prognostic factors for sequelae, by applying a multivariable analysis approach.
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It was very unlikely that a satisfactory match to the observed properties would be obtained before applying a multivariable nonlinear regression process.
The variables significantly associated with the outcome on analysis (P ≤ 0.2) were included in the multivariable analysis by applying a multiple logistic regression based on backward elimination of data.
Once such a set of cutpoints has been found, the final multivariable model is often determined by applying a standard algorithm, such as stepwise selection of variables, to the candidate predictors.
For the final multivariable model, we included variables that individually changed the effect estimate by at least 3%% (n = 9) and added additional variables that changed the estimate by 1%% by applying a forward selection procedure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com