| metainc-package {metainc} | R Documentation |
'metainc': Brief overview of methods and general hints
Description
Assessment of inconsistency in meta-analysis by calculating the Decision Inconsistency index (DI) and the Across-Studies Inconsistency (ASI) index. These indices quantify inconsistency taking into account outcome-level decision thresholds.
Details
The following possibilities are available in 'metainc':
Generating or extracting samples of effect sizes from primary studies included in a meta-analysis (
getsamples)Calculating the Decision Inconsistency and Across-Studies Inconsistency index (
inc)
In addition, the following methods for sensitivity and subset analysis are available:
Sensitivity analysis based on the baseline risk (
sens_br)Sensitivity analysis based on decision thresholds (
sens_dt)Leave-one-out analysis (
sens_inf)Subset analysis (
subset.inc)
Type help(package = "metainc") for a listing of R functions
available in 'metainc'.
Type citation("metainc") on how to cite 'metainc' in
publications.
Author(s)
Bernardo Sousa-Pinto bernardo@med.up.pt, Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
References
Cohen J. (1998). “Statistical Power Analysis in the Behavioral Sciences”, 2nd edition ed. Hillsdale (NJ): Lawrence Erlbaum Associates, Inc.
Schunemann HJ, Higgins JPT, Vist GE, et al. (2019). “Completing ‘Summary of findings’ tables and grading the certainty of the evidence.” Cochrane Handbook for Systematic Reviews of Interventions, 375–402.
Schunemann HJ, Vist GE, Higgins JPT, et al. (2019). “Interpreting results and drawing conclusions.” Cochrane Handbook for Systematic Reviews of Interventions, 403–431.
Skoetz N, Goldkuhle M, van Dalen EC, et al. (2020). “GRADE guidelines 27: how to calculate absolute effects for time-to-event outcomes in summary of findings tables and Evidence Profiles.” Journal of Clinical Epidemiology, 118, 124–131.