Sas enterprise guide 7

To ensure adequacy of sample size, we performed power calculations using PS Software (Power and Sample Size Calculation version 3.1.6). Based on previous studies examining NEFA release from adipose tissue explants taken from fed versus 16-h fasted C57BL6/J mice with α = 0.01, δ = 100, and σ = 25 (44 (link)), power calculations showed that at least four mice per experimental group were required to ensure sufficient power to reject the null hypothesis with probability (power) 0.9 (β = 0.9). Statistical analyses were performed in SAS Enterprise Guide 7.1 (SAS Institute Inc., Cary, NC). To assess the effect of genotype within diet group on all dependent variables in our animal studies, we used the mixed model procedure. When statistically significant interactions were found, Tukey’s adjustment for multiple comparisons was used to assess the probability of difference between means. For crossover studies, we conducted paired t tests to assess differences between saline and glucagon injections within animals. For ex vivo lipolysis assays, we conducted paired t tests to assess differences between control and treatment incubations within each animal. Independent variables were identified as classification variables in all models. Raw data were plotted in GraphPad PRISM Version 8 for Windows (GraphPad Software, San Diego, CA). All data are presented as means ± SE.

We conducted statistical analysis using SAS Enterprise Guide 7.1 (SAS Institute Inc., Cary, NC, USA). We presented descriptive statistics as percentages or mean (with confidence intervals), as appropriate. We included standardized differences. We used a logistic regression to model the dichotomous outcome variable (whether an individual is a high- or non-high-cost user). The predictor variables of interest were age, sex, income quintile, Charlson score, number of ED and hospital visits before the index admission, as well as presence of the most prevalent comorbidities. P-values of < 0.05 were considered statistically significant.