Improve Research Reproducibility A Bio-protocol resource
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3.2. Statistical analysis

DC David Chachkhiani
MI Marine Isakadze
NV Nicole R. Villemarette-Pittman
DD Deidre J. Devier
JL Jesus F. Lovera
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We used SAS and Microsoft Excel to generate summary tables. To analyze length of hospital stay or death, we fitted a competing risk proportional hazards model for time to discharge or death using the Proc Phreg [16] of the SAS® software, Version 9.4 for Windows. (Copyright © 2016 SAS Institute Inc. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc., Cary, NC, USA). The competing risks model allows the analysis of hospital stay, considering that censoring due to death is not random. For each model, we determined baseline demographic and clinical variables predictive of the outcomes and generated adjusted models.

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