generate_sysmiss_ipdma_example function

Generate a simulated IPD-MA data with systematically missing covariates

generate_sysmiss_ipdma_example(
  Nstudies = 10,
  Ncov = 5,
  sys_missing_prob = 0.1,
  magnitude = 0.3,
  heterogeneity = 0.1,
  interaction = TRUE
)

Arguments

• Nstudies: number of studies. Default is 10.
• Ncov: number of covariates in total. Options are 5 or 10 studies. Default is set to 5.
• sys_missing_prob: probability of systematically missing studies for each covariates. Default is set to 0.3.
• magnitude: magnitude of the regression estimates (the mean). Default is set to 0.2.
• heterogeneity: heterogeneity of regression estimates across studies. Default is set to 0.1.
• interaction: whether to include treatment indicator and treatment

Returns

returns simulated IPD-MA data with systematically missing covariates

Examples

simulated_dataset <- generate_sysmiss_ipdma_example(Nstudies = 10, Ncov = 5, sys_missing_prob = 0.3, 
magnitude = 0.2, heterogeneity = 0.1)
head(simulated_dataset)