Calculates the estimate, adjusted standard error, degrees of freedom, t statistic and p-value for one-dimensional contrast.
Arguments
- object
(
mmrm
)
the MMRM fit.- contrast
(
numeric
)
contrast vector. Note that this should not include elements for singular coefficient estimates, i.e. only refer to the actually estimated coefficients.
Examples
object <- mmrm(
formula = FEV1 ~ RACE + SEX + ARMCD * AVISIT + us(AVISIT | USUBJID),
data = fev_data
)
contrast <- numeric(length(object$beta_est))
contrast[3] <- 1
df_1d(object, contrast)
#> $est
#> [1] 5.643565
#>
#> $se
#> [1] 0.6656093
#>
#> $df
#> [1] 157.1382
#>
#> $t_stat
#> [1] 8.478795
#>
#> $p_val
#> [1] 1.564869e-14
#>