d_sim_binom_cov: Sample simulated data for exposure-response with binary...

In BayesERtools: Bayesian Exposure-Response Analysis Tools

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

BayesERtools documentation built on June 8, 2025, 1:26 p.m.