Summarizing Trimmed Means Linear Model fits:

summary method for class "tm".

Usage

# S3 method for tm
summary(object, ...)

Arguments

object

an object of class "tm"

...

user specified arguments

Value

summary.tm returns an list of summary statistics of the fitted trimmed means linear model in object, with components

call

the matched call

n

the number of observations per treatment group

dropout

the proportion of dropout per treatment group

trimfrac

the proportion of data that was trimmed away per treatment group

trimside

specifies if lower or higher value trimming was performed

n_after_trimming

the number of observations per treatment group after trimming

coefficients

an array of coefficients with corresponding p-values and 95% confidence intervals

Analysis_details

reiterates trimming fraction and side, and, for adjest=TRUE specifies if the adjustment was performed on the comparator or treatment group.

SD_outcome

an array of the standard deviation per treatment group, for the observed outcomes and for the trimmed outcomes

See also

tm. The function coef extracts the array of regression coefficients with corresponding p-values and 95% confidence intervals.

Examples

set.seed(123456)
test_dat <- as.data.frame(cbind(c(rep(0,500),rep(1,500)),
                          c(sort(rnorm(500,0,1)),sort(rnorm(500,1,1.5))),
                          rbinom(1000,2,0.4), rnorm(1000,0,1)))
colnames(test_dat) <- c("TR", "Y", "U", "U2")
test_dat$Y[1:200] <- NA
tm_obj <- tm(formula= Y ~ TR + U + U2, GR = "TR", trF = 0.5,
             side = "LOW", n_perm = 1000, adj_est = TRUE, data = test_dat)
summary(tm_obj)
#> 
#> Call:
#> tm(formula = Y ~ TR + U + U2, GR = "TR", trF = 0.5, side = "LOW", 
#>     n_perm = 1000, adj_est = TRUE, data = test_dat)
#> 
#> 
#> Analysis details:
#> Treatment (1) group rescaled for adjusted TM estimate
#> 
#> Coefficients:
#>        Estimate      Pval 95% CI LO 95% CI HI
#> TR     1.354308  0.000000  1.177918     1.531
#> U     -0.071352  0.923000 -0.167223     0.025
#> U2     0.055791  0.047000 -0.008575     0.120
#> TRadj  0.969812  0.000000  0.840809     1.099
#> 
#> 
#> Dropout:
#> 40%
#> 
#> Sample size after trimming:
#> 250
#> 
#> Trimming fraction: 
#> 50% lower value trimming
#> 
coef(tm_obj)
#>          Estimate  Pval    95% CI LO  95% CI HI
#> TR     1.35430808 0.000  1.177917612 1.53069856
#> U     -0.07135247 0.923 -0.167223391 0.02451845
#> U2     0.05579053 0.047 -0.008575234 0.12015629
#> TRadj  0.96981237 0.000  0.840809363 1.09881537