Simulated Single-Level Clinical Trial Data

A simulated dataset representing a two-arm clinical trial with 200 subjects, one continuous covariate, and two binary outcomes. It serves as the underlying data for bglm_fit and can be used to illustrate bglm.

Usage

bglm_data

Format

A data frame with 200 rows and 4 columns:

group

Character. Treatment arm: "placebo" (n = 100) or "drug" (n = 100).

age

Numeric. Continuous covariate drawn from \(N(50,\,10^2)\).

y1

Integer (0/1). First binary outcome.

y2

Integer (0/1). Second binary outcome.

Details

Data were generated with set.seed(2024) using logistic models: $$ P(y_1 = 1) = \text{logit}^{-1}(-0.50 + 0.75\,\text{drug} + 0.10\,\text{age}/10) $$ $$ P(y_2 = 1) = \text{logit}^{-1}(-0.50 + 0.80\,\text{drug} + 0.05\,\text{age}/10) $$ where drug is 1 for the drug arm and 0 for placebo. See data-raw/generate_examples.R for the full script.

See also

bglm, bglm_fit, bglmm_data

Examples

head(bglm_data)
#>     group      age y2 y1
#> 1 placebo 59.81969  1  1
#> 2 placebo 54.68715  1  0
#> 3 placebo 48.92029  0  0
#> 4 placebo 47.87122  1  1
#> 5 placebo 61.58098  1  0
#> 6 placebo 62.92355  0  1
table(bglm_data$group, bglm_data$y1)
#>          
#>            0  1
#>   drug    34 66
#>   placebo 48 52