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The models were built using a backward manual procedure performed on a maximal model including the type of units (forced variable) and all factors that were associated with mortality with p < 0.05 in univariate logistic regression.
The multivariate model with backward manual selection of statistically significant variables was carried out (P<0.05).
A backward manual selection procedure was used to lead to the final model by removing non-significant variables (p > 5%).
All bivariate associations between the independent and dependent variables were investigated, and the final multivariate model was derived using backward manual stepwise elimination of variables.
The most parsimonious models were derived using the backward manual elimination method, and the best-fitting model was chosen based on the c-statistic.
We analysed our dataset using the χ test and backward manual stepwise logistic regression analyses with p<0.05 as significance level.
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tests, how well children recalled a list of names and whether they could repeat the names backward, their manual dexterity, and whether they stuttered or had tics.
The final multivariable model was constructed by performing a backward stepwise manual selection method.
Using stepwise, backward, and manual selection procedures, several possible variable sets were generated.
The search was supplemented by forward and backward citation, manual exploration of references and by contacting experts in the field to refer us to any other relevant studies.
Do not attempt to read the manual backward or underwater.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com