Compute Model Fit Parameters

Converts tTable of summary(model_fit) to tibble and adds CIs.

Usage

compute_model_fit_parameters(
  fit,
  trt_col_name = "TRTG",
  tafd_col_name = "TAFD",
  id_col_name = "ID",
  conf_int = 0.95
)

Arguments

fit

An nlme::lme model object from model fitting

trt_col_name

String of column name of trt used in model fitting

tafd_col_name

String of column name of tafd used in model fitting

id_col_name

String of column name of the id used in model fitting for random effects

conf_int

Numeric confidence interval level (default: 0.9)

Value

A tibble with fixed effect estimates, standard errors, degrees of freedom, t-values, p-values, confidence intervals, and random effect variances

Examples

data_proc <- preprocess(cqtkit_data_verapamil)

fit <- fit_prespecified_model(
  data_proc,
  deltaQTCF,
  ID,
  CONC,
  deltaQTCFBL,
  TRTG,
  TAFD,
  "REML",
  TRUE
)
compute_model_fit_parameters(fit)
#> # A tibble: 20 × 8
#>    Parameters        Value Std.Error    DF `t-value` `p-value`       CIl     CIu
#>    <chr>             <dbl>     <dbl> <dbl>     <dbl>     <dbl>     <dbl>   <dbl>
#>  1 Intercept      -8.75      2.36      604    -3.70   2.36e- 4 -13.4     -4.10  
#>  2 CONC            0.00785   0.00838   604     0.936  3.49e- 1  -0.00861  0.0243
#>  3 deltaQTCFBL    -0.649     0.0400    604   -16.2    2.53e-49  -0.727   -0.570 
#>  4 Verapamil HCL   2.77      0.648     604     4.28   2.18e- 5   1.50     4.05  
#>  5 1 HR            4.08      1.34      604     3.05   2.39e- 3   1.45     6.71  
#>  6 1.5 HR          2.25      1.33      604     1.69   9.17e- 2  -0.367    4.87  
#>  7 2 HR            6.67      1.33      604     5.00   7.38e- 7   4.05     9.29  
#>  8 2.5 HR          5.60      1.34      604     4.19   3.21e- 5   2.98     8.23  
#>  9 3 HR            2.96      1.34      604     2.21   2.78e- 2   0.324    5.59  
#> 10 3.5 HR         -0.416     1.35      604    -0.309  7.58e- 1  -3.07     2.23  
#> 11 4 HR            1.50      1.36      604     1.10   2.70e- 1  -1.17     4.17  
#> 12 5 HR           -0.494     1.36      604    -0.363  7.17e- 1  -3.17     2.18  
#> 13 6 HR            1.16      1.37      604     0.849  3.96e- 1  -1.53     3.85  
#> 14 7 HR           -0.203     1.37      604    -0.148  8.83e- 1  -2.90     2.49  
#> 15 8 HR           -0.859     1.38      604    -0.624  5.33e- 1  -3.56     1.85  
#> 16 12 HR          -4.18      1.38      604    -3.02   2.60e- 3  -6.90    -1.47  
#> 17 14 HR          -2.98      1.38      604    -2.15   3.19e- 2  -5.70    -0.258 
#> 18 24 HR           1.62      1.40      604     1.16   2.46e- 1  -1.12     4.37  
#> 19 IIV(Intercept) 10.1      NA          NA    NA     NA          7.22    14.0   
#> 20 Residual Error  6.18     NA          NA    NA     NA          5.84     6.54