Selected article for: "covariance analysis and statistical analysis"
Author: Jefferies, Sarah; Braithwaite, Irene; Walker, Steven; Weatherall, Mark; Jennings, Lance; Luck, Michelle; Barrett, Kevin; Siebers, Robert; Blackmore, Timothy; Beasley, Richard; Perrin, Kyle
Title: Randomized controlled trial of the effect of regular paracetamol on influenza infection
  • Document date: 2015_12_6
    • ID: vj3m50sb_18
    Snippet: Statistical analysis was by intention-to-treat without interim analysis. The primary outcome variable was analyzed by Student's t-test. The adjusted analysis was carried out by analysis of covariance. Categorical variables were analyzed by calculation of relative risks or risk differences together with appropriate CI. The analysis of temperature, symptom score and AUC VAS was by analysis of variance with randomized group, PCR influenza status and.....
    Document: Statistical analysis was by intention-to-treat without interim analysis. The primary outcome variable was analyzed by Student's t-test. The adjusted analysis was carried out by analysis of covariance. Categorical variables were analyzed by calculation of relative risks or risk differences together with appropriate CI. The analysis of temperature, symptom score and AUC VAS was by analysis of variance with randomized group, PCR influenza status and the interaction between the two as predictor variables. The individual temperature profiles were plotted together with locally weighted scatter plot smoothers. Cox proportional hazards survival analysis was used to compare time with symptom resolution. SAS version 9.3 (SAS Institute Inc, Cary, NC, USA) was used.

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