Computes the concentration needed for a upper conf_int prediction of the threshold value.

Computes the concentration needed for a upper conf_int prediction of the threshold value.

compute_conc_for_upper_pred(
  data,
  fit,
  conc_col_name,
  trt_col_name,
  treatment_group,
  threshold = 10,
  conf_int = 0.9
)

Arguments

data

A data frame containing C-QT analysis dataset

fit

An nlme::lme model object from model fitting

conc_col_name

String of concentration (independent variable) column name

trt_col_name

String of treatment group column name

treatment_group

String of treatment group to make prediction for

threshold

Value used as upper CI prediction, default = 10

conf_int

Numeric confidence interval level (default: 0.9)

Value

list of the two potential solutions.

Examples

mod <- fit_prespecified_model(
  cqtkit_data_verapamil %>% preprocess(),
  deltaQTCF,
  ID,
  CONC,
  deltaQTCFBL,
  TRTG,
  TAFD,
  "REML",
  remove_conc_iiv = TRUE
)
compute_conc_for_upper_pred(
  cqtkit_data_verapamil %>% preprocess(),
  mod,
  "CONC",
  "TRTG",
  "Verapamil HCL"
)
#> $lower_conc
#> [1] 365.0433
#> 
#> $upper_conc
#> [1] -1139.494
#>