Selected article for: "linear regression and statistical software"

Author: Cereda, Maurizio; Xin, Yi; Hamedani, Hooman; Bellani, Giacomo; Kadlecek, Stephen; Clapp, Justin; Guerra, Luca; Meeder, Natalie; Rajaei, Jennia; Tustison, Nicholas J; Gee, James C; Kavanagh, Brian P; Rizi, Rahim R
Title: Tidal changes on CT and progression of ARDS
  • Document date: 2017_6_20
  • ID: sncded7z_31
    Snippet: The studies were not randomised and no a priori sample size calculation was made. The primary outcome of the analysis was the increase of the fraction of 'severe injury' voxels observed during mechanical ventilation. Comparisons between measured and predicted variables were performed using linear regression and Bland-Altman plots. 18 Analysis of variance with Bonferroni correction was used for comparisons between rats ventilated with protective v.....
    Document: The studies were not randomised and no a priori sample size calculation was made. The primary outcome of the analysis was the increase of the fraction of 'severe injury' voxels observed during mechanical ventilation. Comparisons between measured and predicted variables were performed using linear regression and Bland-Altman plots. 18 Analysis of variance with Bonferroni correction was used for comparisons between rats ventilated with protective versus non-protective ventilation and to compare image landmarks. Image analysis was performed using Matlab R2013a software (Mathworks) applications developed in the authors' laboratory; statistical analysis was performed using 'R' critical care (R Foundation for Statistical Computing, Vienna, Austria, http:// www. R-project. org). An α value of 0.05 was used. All data are expressed as mean±SD.

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