sequentialFitBiasDistribution: Fit Bias Distribution Sequentially or in Groups

In EvidenceSynthesis: Synthesizing Causal Evidence in a Distributed Research Network

Fit Bias Distribution Sequentially or in Groups

Description

Learn empirical bias distributions sequentially or in groups; for each sequential step or analysis group, bias distributions is learned by by simultaneously analyzing a large set of negative control outcomes by a Bayesian hierarchical model through MCMC.

Usage

sequentialFitBiasDistribution(LikelihoodProfileList, ...)

Arguments

LikelihoodProfileList	A list of lists, each of which is a set of grid profile likelihoods regarding negative controls, indexed by analysis period ID for sequential analyses or group ID for group analyses.
...	Arguments passed to the fitBiasDistribution() function.

Value

A (long) dataframe with four columns. Column mean includes MCMC samples for the average bias, scale for the sd/scale parameter, bias for predictive samples of the bias, and Id for the period ID or group ID.

See Also

fitBiasDistribution, computeBayesianMetaAnalysis

Examples

# load example data
data("ncLikelihoods")

# fit bias distributions over analysis periods
# NOT RUN
# biasDistributions = sequentialFitBiasDistribution(ncLikelihoods, seed = 42)

EvidenceSynthesis documentation built on May 31, 2023, 9:05 p.m.