Exact(1)
Using a backward masking paradigm, we asked young-old (aged 59 70), old-old (aged 70+) and younger adults (18 31 years) to perform a go/no-go task, in which they had to respond to images of animals whilst ignoring images of landscapes.
Similar(59)
These covariates were selected using a backward stepwise procedure.
The model was optimized using a backward stepwise regression.
Prognostic factors were identified using a backward selection procedure.
Variables were selected using a backward stepwise process.
Non-significant predictors were eliminated using a backward elimination method.
A backward masking paradigm was used.
A backward masking task was used to test performance under strong time constraints [31].
This was true even when probe stimuli were applied before movement onset [12], suggesting a backward masking effect.
We used a backward stepwise approach.
We used a backward selection procedure to identify significant confounders.
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