Sample simulated data for exposure-response models with covariates

Usage

erglm_data

Format

A data frame with columns:

id: Identifier
sex: Sex
age: Age
weight: Weight
dose: Nominal dose, units not specified
treatment: Treatment
aucss: AUCss
cmaxss: Cmax,ss
ae1: Binary response 1 value (for binomial models)
ae2: Binary response 2 value (for binomial models)
ae_count: Count response (for poisson models)
biomarker_change: Continuous response, can be negative (for gaussian models)
ae_duration: Continuous, strictly positive, right-skewed response (for Gamma models)

Details

This simulated dataset is entirely synthetic You can find the data generating code in the package source code

Examples

erglm_data
#> # A tibble: 300 × 13
#>       id sex      age weight  dose treatment aucss cmaxss   ae1   ae2 ae_count
#>    <int> <fct>  <int>  <dbl> <dbl> <fct>     <dbl>  <dbl> <dbl> <dbl>    <int>
#>  1     1 Male      35     79   200 Drug       673.   97.3     0     1        1
#>  2     2 Female    22     58   200 Drug      2806.  301.      1     1        6
#>  3     3 Female    28     58     0 Placebo      0     0       0     0        1
#>  4     4 Female    18     57   100 Drug      1169.  198.      1     1        0
#>  5     5 Male      28     77   100 Drug       377.   51.4     0     0        0
#>  6     6 Female    19     76   200 Drug       327.   25.4     1     0        0
#>  7     7 Male      30     70     0 Placebo      0     0       0     0        0
#>  8     8 Female    34     60   100 Drug      1208.  133.      1     1        1
#>  9     9 Male      21     89     0 Placebo      0     0       0     0        0
#> 10    10 Female    34     56   200 Drug       254.   31.0     0     0        1
#> # ℹ 290 more rows
#> # ℹ 2 more variables: biomarker_change <dbl>, ae_duration <dbl>