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The potential confounders were added to the model in a stepwise order according to their effect on the risk estimate but were kept in the model only if the exclusion changed risk estimate at least 5%.
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This limited polyUb chain synthesis occurred nonprocessively; i.e., reaction products appear in stepwise order and subsequently disappear in conjunction with the appearance of the next slower-migrating band.
Variables that showed significant association with the outcome were included in the multivariate Cox proportional-hazard model in a stepwise method, in order to determine the independent predictors for morbidity and oncological outcome.
Each keyword will be brought into the model in a stepwise manner in an order determined by their correlation coefficient and then use a partial F test to evaluate goodness of fit after each keyword is brought into the model (this will be repeated until the goodness of fit stops improving).
Finally, with this parameter as a target variable, logistic regression models were fitted, first including all parameters measured and then in a stepwise forward selection procedure in order to identify other possible independent variables.
Subsequently, the multivariate survival model was further developed in a stepwise fashion according to the rank order of the level of significance (P < 0.05) and only covariates which remained significant were retained in the model.
Nonsignificant predictors were taken out of the analysis in a stepwise fashion, starting from the highest order interaction, until no predictors could be removed without significant loss of fit.
IGENT_stepwise selects higher-order interactions in a stepwise manner.
For this part of the KIX backbone, average order parameters vary in a stepwise manner upon binding ligands, with Savg2 values of 0.64 in the free form of the protein and 0.85 in the ternary complex KIX·MLL·pKID and intermediate levels of dynamics for binary complexes KIX·MLL and KIX·pKID (Savg2 of 0.80 and 0.71, respectively).
It employs a sequential clustering algorithm, in which local topological relationships are identified in order of similarity, and the phylogenetic tree is built in a stepwise manner.
The model building process was performed in a stepwise fashion, starting from the previously published RIF PK enzyme turn-over model in order to account for RIF autoinduction [ 5].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com