Tablulates exposure predictions at therapeutic and supratherapuetic Cmax.

Tablulates exposure predictions at therapeutic and supratherapuetic Cmax.

tabulate_exposure_predictions(
  data,
  fit,
  conc_col,
  treatment_predictors,
  control_predictors = NULL,
  doses,
  cmaxes,
  qtc_label = "QTc (ms)",
  conc_units = "ng/mL",
  conf_int = 0.9,
  decimals = 2,
  scientific = TRUE,
  title = NULL,
  ...
)

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

A list of a values for contrast. conc will update

control_predictors

A list of b values for contrast

doses

A vector of doses to show prediction at

cmaxes

A vector of Cmax for each dose

qtc_label

A label for QTc column name, default QTc (ms)

conc_units

Units for concentration default ng/mL

conf_int

Numeric confidence interval level (default: 0.9)

decimals

Number of decimals to format numbers to. default is 2

scientific

Boolean for converting to scientific notation

title

Optional string for table title. Wrapped in gt::md()

...

Optional additional args to gt::tab_options

Value

a gt table of predicted dQTc/ddQTc values and their CI at tpx and or stpx dose/Cmax

Examples

data_proc <- preprocess(cqtkit_data_verapamil)

fit <- fit_prespecified_model(
  data_proc,
  deltaQTCF,
  ID,
  CONC,
  deltaQTCFBL,
  TRTG,
  TAFD,
  "REML",
  TRUE
)
pk_df <- compute_pk_parameters(
  data_proc %>% dplyr::filter(DOSE != 0),
  ID,
  DOSEF,
  CONC,
  NTLD
)

tabulate_exposure_predictions(
  data_proc,
  fit,
  CONC,
  list(
    CONC = 10,
    deltaQTCFBL = 0,
    TRTG = "Verapamil HCL",
    TAFD = "2 HR"),
  list(
    CONC = 0,
    deltaQTCFBL = 0,
    TRTG = "Placebo",
    TAFD = "2 HR"),
  doses <- c(120),
  cmaxes <- c(pk_df[[1, "Cmax_gm"]])
)


  
Dose
      
Cmax (ng/mL)
      
Δ Δ QTc (ms)
      
[90% CI]
    
1.20 × 102
1.14 × 102
3.67
[2.47, 4.87]