Compute Exposure Predictions

Predicts dQTC over range of concentration values with contrast. To help keep the predictions quick, the concentration values to predict at are done at an order of magnitude of concentration values, if max(conc) = 7340, then by = 100.

Usage

compute_exposure_predictions(
  data,
  fit,
  conc_col,
  treatment_predictors,
  control_predictors = NULL,
  cmaxes = NULL,
  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

An unquoted column name for concentration measurements used to fit the model

treatment_predictors

List of a values for contrast. conc will update

control_predictors

List of b values for contrast

cmaxes

Vector of Cmax for each dose

conf_int

Numeric confidence interval level (default: 0.9)

Value

A tibble with concentration, predicted deltaQTc, and lower/upper confidence bounds for exposure-response predictions

Examples

data_proc <- preprocess(cqtkit_data_verapamil)

fit <- nlme::lme(
   fixed = deltaQTCF ~ 1 + CONC,
   random = ~ 1 | ID,
   method = "REML",
   data = data_proc
)

compute_exposure_predictions(
  data_proc,
  fit,
  CONC,
  list(CONC = 10)
)
#> Error in eval(Call$data, env): object 'data_proc' not found