Participant’s average target image RT (0ms = start of visual stimuli) for each condition across all participants, Group 1, and Group 2. by Howe Yuan Zhu (17283139)

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The grand average Pz channel ERP response epoched (-400ms to 800ms) around the target stimuli (0ms) for each condition across all participants, Group 1, and Group 2. by Howe Yuan Zhu (17283139)

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The grand average EEG Scalp Map topography for each condition averaged between 300ms to 500ms (0ms at the start of target stimuli). by Howe Yuan Zhu (17283139)

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The grand average ERSP response for the PZ channel for each group and condition. by Howe Yuan Zhu (17283139)

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Fig 2 - by Howe Yuan Zhu (17283139)

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This figure shows the average RT difference between the conditions <i>GG</i> and <i>PH</i>(<i>PH</i>-<i>GG</i>) for each participant. by Howe Yuan Zhu (17283139)

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Participant’s RT and SAM correlation plot by the average value of each subject. by Howe Yuan Zhu (17283139)

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Adjusted and unadjusted odds ratios for mortality with fluid administration. by Brian Rice (4393609)

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Patient characteristics pre- and post-propensity score matching. by Brian Rice (4393609)

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Patient flow. by Brian Rice (4393609)

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Unmatched and matched data logistic regression analysis: Complete case analysis and multiple imputation. by Brian Rice (4393609)

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Subgroup mortality analysis for patients meeting FEAST inclusion/exclusion criteria. by Brian Rice (4393609)

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Matching support and variable balance after matching. by Brian Rice (4393609)

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Analyzing the clinical benefit of newer therapies for advanced or metastatic non-small-cell lung cancer: application of the ESMO-magnitude of clinical benefit scale v1.1 by Ricardo García-Fumero (11042247)

“…</p> <p>Almost half of the RCTs showing a statistically significant result favoring the experimental arm, failed to demonstrate a substantial clinical benefit according to the ESMO framework.…”

Economic evaluation of the process. by Fabrizio Schettini (12009517)

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Budget impact analysis. by Fabrizio Schettini (12009517)

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Effectiveness indicators. by Fabrizio Schettini (12009517)

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Regression model for costs. by Fabrizio Schettini (12009517)

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A focus on the development of adverse events. by Fabrizio Schettini (12009517)

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S1 Data - by Fabrizio Schettini (12009517)

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