Details
While printing the summary of (mmrm
)
object, the following will be displayed:
Formula. The formula used in the model.
Data. The data used for analysis, including number of subjects, number of valid observations.
Covariance. The covariance structure and number of variance parameters.
Method. Restricted maximum likelihood(REML) or maximum likelihood(ML).
Model selection criteria. AIC, BIC, log likelihood and deviance.
Coefficients. Coefficients of the covariates.
-
Covariance estimate. The covariance estimate(for each group).
If the covariance structure is non-spatial, the covariance matrix of all categorical time points available in data will be displayed.
If the covariance structure is spatial, the covariance matrix of two time points with unit distance will be displayed.
confint
is used to obtain the confidence intervals for the coefficients.
Please note that this is different from the confidence interval of difference
of least square means from emmeans
.
Functions
summary(mmrm)
: summarizes the MMRM fit results.print(summary.mmrm)
: prints the MMRM fit summary.confint(mmrm)
: obtain the confidence intervals for the coefficients.
See also
mmrm_tmb_methods
, mmrm_tidiers
for additional methods.
Examples
formula <- FEV1 ~ RACE + SEX + ARMCD * AVISIT + us(AVISIT | USUBJID)
object <- mmrm(formula, fev_data)
# Summary:
summary(object)
#> mmrm fit
#>
#> Formula: FEV1 ~ RACE + SEX + ARMCD * AVISIT + us(AVISIT | USUBJID)
#> Data: fev_data (used 537 observations from 197 subjects with maximum 4
#> timepoints)
#> Covariance: unstructured (10 variance parameters)
#> Method: Satterthwaite
#> Vcov Method: Asymptotic
#> Inference: REML
#>
#> Model selection criteria:
#> AIC BIC logLik deviance
#> 3406.4 3439.3 -1693.2 3386.4
#>
#> Coefficients:
#> Estimate Std. Error df t value Pr(>|t|)
#> (Intercept) 30.77748 0.88656 218.80000 34.715 < 2e-16
#> RACEBlack or African American 1.53050 0.62448 168.67000 2.451 0.015272
#> RACEWhite 5.64357 0.66561 157.14000 8.479 1.56e-14
#> SEXFemale 0.32606 0.53195 166.13000 0.613 0.540744
#> ARMCDTRT 3.77423 1.07415 145.55000 3.514 0.000589
#> AVISITVIS2 4.83959 0.80172 143.88000 6.037 1.27e-08
#> AVISITVIS3 10.34211 0.82269 155.56000 12.571 < 2e-16
#> AVISITVIS4 15.05390 1.31281 138.47000 11.467 < 2e-16
#> ARMCDTRT:AVISITVIS2 -0.04193 1.12932 138.56000 -0.037 0.970439
#> ARMCDTRT:AVISITVIS3 -0.69369 1.18765 158.17000 -0.584 0.559996
#> ARMCDTRT:AVISITVIS4 0.62423 1.85085 129.72000 0.337 0.736463
#>
#> (Intercept) ***
#> RACEBlack or African American *
#> RACEWhite ***
#> SEXFemale
#> ARMCDTRT ***
#> AVISITVIS2 ***
#> AVISITVIS3 ***
#> AVISITVIS4 ***
#> ARMCDTRT:AVISITVIS2
#> ARMCDTRT:AVISITVIS3
#> ARMCDTRT:AVISITVIS4
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Covariance estimate:
#> VIS1 VIS2 VIS3 VIS4
#> VIS1 40.5537 14.3960 4.9747 13.3867
#> VIS2 14.3960 26.5715 2.7855 7.4745
#> VIS3 4.9747 2.7855 14.8979 0.9082
#> VIS4 13.3867 7.4745 0.9082 95.5568
#>
# Confidence Interval:
confint(object)
#> 2.5 % 97.5 %
#> (Intercept) 29.0301757 32.524775
#> RACEBlack or African American 0.2977051 2.763294
#> RACEWhite 4.3288700 6.958261
#> SEXFemale -0.7241923 1.376316
#> ARMCDTRT 1.6512897 5.897170
#> AVISITVIS2 3.2549236 6.424253
#> AVISITVIS3 8.7170213 11.967204
#> AVISITVIS4 12.4581459 17.649651
#> ARMCDTRT:AVISITVIS2 -2.2748504 2.190998
#> ARMCDTRT:AVISITVIS3 -3.0393757 1.652005
#> ARMCDTRT:AVISITVIS4 -3.0375371 4.285991