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After receiving the last block from the relay, the destination applies backward decoding to jointly decode the messages.
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As in the original game, subjects need to apply backward analysis in order to solve the games.
The fixed structure of the model was established by applying backward selection using the likelihood ratio test obtained by Maximum Likelihood (ML).
The fixed structure of the model was established by applying backward selection using the likelihood ratio (L-ratio) test obtained by Maximum Likelihood (ML).
One model applied forward and the other applied backward parsing.
For model building, we applied backward introduction of selected variables from univariate analysis (P-entry = 0.20).
We applied backward elimination with p < 0.05 to determine the variables to retain in the final model.
bModel 2 applied backward elimination to Model 1. aModel 1 included all functioning and symptom scales and items of the EORTC QLQ-C30 as explanatory variables.
We then applied backward elimination (cut-off p = 0.0001), AIC and AICc to select among the full set of fixed-effect models (Table 5).
and involved including all variables retained from stage one into a multivariable model and applying backward elimination (removal set at p > 0.05).
Applying backward conditional Cox regression showed that MRIPH did not pose a significant risk of contralateral stroke or myocardial infarction during the follow-up period (p = 0.95).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com