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Statistical comparisons between intervention and control groups for 24 h urinary sodium and other continuous variables will be made using regression analysis with robust SEs accounting for clustering.
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However, when the calculations are made using regression equations the figures change drastically, to 251.32 t of total biomass, 103.04 t C/ha, and 377.82 t CO2eq/ha.
Correlations were made using regression analysis.
These predictions have mostly been made using regression methods.
Attempts to estimate these quantities have been made, using regression methods or mixture models.
Comparisons between conditions were made using regression analysis or by Student's t tests (Microsoft Excel), as indicated, with a threshold for significance of P < 0.05.
Comparisons between conditions were made using regression analysis or by Student's two sample or one sample t-tests (Microsoft Excel), as indicated, with a threshold for significance of P = 0.05.
Efforts to impute unordered SNP genotype data have been made using regression-based methods such as random forest (RF, Breiman 2001; Stekhoven and Bühlmann 2011) and principal component analysis (PCA -based tools (Stacklies et al. 2007) with the hoPCA -basedoving genomic selectools(Poland et al. 2012; RutkoStacklies. 2013).
Randomised comparisons with 95% confidence intervals will be made using linear regression with robust standard errors, adjusting for the baseline value where appropriate.
Cost data comparisons between the groups will be made using a bootstrap regression model (using 10,000 repetitions).
Comparisons will be made using χ tests and multivariate logistic regression to control for the other modifying factors outlined above.
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