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Correlation between the individual one-bite volume and the number of chews per volume was analyzed using Spearman's rank correlation coefficient.
Correlation between measured ΔEELV using spirometry and ΔEELV calculated as change in PEEP divided by lung elastance (determined as the difference in airway and pleural driving pressure divided by tidal volume) was analyzed using linear regression analysis.
Tumor volume was analyzed using caliper measurement.
Red blood cell volume was analyzed using chromium-51-tagged erythrocytes (RBC Cr).
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Mean ischemic lesion volume were analyzed using the Student's t-test.
Data on parasitaemia, survival day, body weight and packed cell volume were analyzed using Windows SPSS version 20.1.
Median tumor volume were analyzed using two-way analysis (ANOVA: Treatment and Time) of variance with repeated measures on factor Time (post hoc analysis of Treatment effect at fixed Time levels with Dunnett test).
Signal intensity was analyzed using rectangular volume tool in Quantity One Analysis Software (Bio-Rad, Hercules, CA, USA) with global background subtraction.
Functional volumes were analyzed using Statistical Parametric Mapping 5 (SPM5-http://www.fil.ion.ucl.ac.uk/spm) implemented in MATLAB.
Hippocampal volumes were analyzed using the GRID program, which is based on a manual point-counting method and allows for semi-automated determination of region of interest volumes.
The pressure value percentages in each category and the air bubble numbers and volumes were analyzed using the unpaired t-test.
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