d_sim_binom_cov {BayesERtools} | R Documentation |
Sample simulated data for exposure-response with binary endpoint.
Description
Sample simulated data for exposure-response with binary endpoint.
Usage
d_sim_binom_cov
d_sim_binom_cov_hgly2
Format
A data frame with columns:
- ID
Subject ID
- AETYPE
Adverse event type: hgly2 (Gr2+ hyperglycemia), dr2 (Gr2+ Diarrhea), ae_covsel_test (hypothetical AE for covariate selection function test)
- AEFLAG
Adverse event flag: 0 - no event, 1 - event
- Dose_mg
Dose in mg: 200, 400
- AUCss
Steady-state area under the curve
- Cmaxss
Steady-state maximum (peak) concentration
- Cminss
Steady-state minimum (trough) concentration
- BAGE
Baseline age in years
- BWT
Baseline weight in kg
- BGLUC
Baseline glucose in mmol/L
- BHBA1C
Baseline HbA1c in percentage
- RACE
Race: White, Black, Asian
- VISC
Visceral disease: No, Yes
- AUCss_1000
AUCss/1000
- BAGE_10
BAGE/10
- BWT_10
BWT/10
- BHBA1C_5
BHBA1C/5
An object of class tbl_df
(inherits from tbl
, data.frame
) with 500 rows and 17 columns.
Details
This simulated dataset is very loosely inspired by ER analysis of ipatasertib by Kotani (2022) at:
https://doi.org/10.1007/s00280-022-04488-2
You can find the data generating code in the package source code,
under data-raw/d_sim_binom_cov.R
.
d_sim_binom_cov_hgly2 is a subset of this dataset with only hgly2 AE type and some columns added for testing.
Examples
d_sim_binom_cov
d_sim_binom_cov_hgly2