1. There are 4 groups of patients, separated by study ID:
  1. ADDED: log transform ll37_1borre
  2. The overall F test for ll37_1borre was borderline significant;
  3. Tukey’s post-hoc pairwise comparisons shows borderline significance for K versus J;
  4. If we don’t apply penalty for multiple testing, comparison between K and J is statistically significant, even without log transformation.
## Analysis of Variance Table
## 
## Response: log_ll37_1borre
##            Df Sum Sq Mean Sq F value  Pr(>F)  
## group       3  2.880 0.95994  2.5843 0.05722 .
## Residuals 104 38.631 0.37145                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##   Tukey multiple comparisons of means
##     95% family-wise confidence level
## 
## Fit: aov(formula = fit1)
## 
## $group
##            diff          lwr       upr     p adj
## D-C -0.15970818 -0.624904997 0.3054886 0.8067138
## J-C -0.21245915 -0.659141564 0.2342233 0.6017757
## K-C  0.18680940 -0.256814454 0.6304333 0.6906241
## J-D -0.05275097 -0.483693999 0.3781921 0.9886430
## K-D  0.34651759 -0.081254368 0.7742895 0.1551014
## K-J  0.39926856 -0.008292415 0.8068295 0.0570939
## 
##  Welch Two Sample t-test
## 
## data:  log_ll37_1borre by group
## t = -2.4847, df = 58.781, p-value = 0.01583
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.72083606 -0.07770106
## sample estimates:
## mean in group J mean in group K 
##        6.018324        6.417592
## 
##  Welch Two Sample t-test
## 
## data:  ll37_1borre by group
## t = -2.3177, df = 52.059, p-value = 0.02443
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -455.15707  -32.74099
## sample estimates:
## mean in group J mean in group K 
##         495.800         739.749