synthesizeResults | R Documentation |
Conducts a meta-analysis across PLE result sets
synthesizeResults(
allDbsFolder,
maExportFolder = allDbsFolder,
maxCores = 1,
method = "BayesianNonNormal",
resultsZipPattern = "^Results_.*\\.zip",
addTraditional = TRUE
)
allDbsFolder |
Folder on the local file system containing the individual zip files across databases (i.e., sites) |
maExportFolder |
A local folder where the meta-analysis results will be written. If not specified, results will be written to same directory with all other results. |
maxCores |
Maximum number of CPU cores to be used when computing the meta-analyses. |
method |
The meta-analysis method to use. Possible values are "BayesianNonNormal" (Schumie et al.) or "DL" (DerSimonian-Laird). |
resultsZipPattern |
The pattern of the names of the zip files containing the exported results of each database. |
addTraditional |
Boolean indicating if traditional meta-analysis (i.e., "DL") results should be added to result (if |
Conducts a meta-analysis across result sets generated from a population level effect (PLE) study package. Meta-analysis methodology is based on DerSimonian and Laird (1986) or Schuemie et al. (2021).
Does not return a value, but creates a new zip file in the maExportFolder
for the meta-analyses.
DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986 Sep;7(3):177-88. doi: 10.1016/0197-2456(86)90046-2
Schuemie M, Chen Y, Madigan D, Suchard M, Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts. arXiv: 2101.01551, 2021
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