Bayesian Individual Patient Data Meta-Analysis using 'JAGS'


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Documentation for package ‘bipd’ version 0.2

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bipd-package bipd: A package for individual patient data meta-analysis using 'JAGS'
findMissingPattern Find missing data pattern in a given data
generate_ipdma_example Generate a simulated IPD-MA data for demonstration
generate_ipdnma_example Generate a simualted IPD-NMA data for demonstration
generate_sysmiss_ipdma_example Generate a simulated IPD-MA data with systematically missing covariates
ipd.run Run the model using the ipd object
ipd.run.parallel Run the model using the ipd object with parallel computation
ipdma.impute Impute missing data in individual participant data with two treatments (i.e. placebo and a treatment).
ipdma.model.deft.onestage Make a (deft-approach) one-stage individual patient data meta-analysis object containing data, priors, and a JAGS model code
ipdma.model.onestage Make an one-stage individual patient data meta-analysis object containing data, priors, and a JAGS model code
ipdnma.model.onestage Make an one-stage individual patient data network meta-analysis object containing data, priors, and a JAGS model code
treatment.effect Calculate patient-specific treatment effect