drugDemand (version 0.1.3)

f_dose_ongoing_cpp: Dosing Date Imputation for Ongoing Patients

Description

Imputes the dosing dates after cutoff for ongoing patients with dosing records.

Usage

f_dose_ongoing_cpp(usubjid, V, C, D, model_ki, theta_ki, model_ti, theta_ti)

Value

A data frame with two variables:

• usubjid: The unique subject ID.

• day: The dosing visit date relative to randomization.

Arguments

usubjid

The unique subject ID.

V

The last dosing visit date relative to randomization.

C

The cutoff date relative to randomization.

D

The discontinuation date relative to randomization.

model_ki

The model for the number of skipped visits between two consecutive drug dispensing visits. Options include "constant", "poisson", "zero-inflated poisson", and "negative binomial".

theta_ki

The model parameters for the number of skipped visits between two consecutive drug dispensing visits.

model_ti

The model for the gap time between two consecutive drug dispensing visits. Options include "least squares" and "least absolute deviations".

theta_ti

The model parameters for the gap time between two consecutive drug dispensing visits.

Author

Kaifeng Lu,

Examples

set.seed(314)

f_dose_ongoing_cpp(
  usubjid = "A001", V = 297, C = 329, D = 569,
  model_ki = "zero-inflated poisson", theta_ki = c(0.4, 2.5),
  model_ti = "least squares", theta_ti = c(21, 2.3))