Viechtbauer 2010 - Conducting Meta-Analyses in R with the metafor Package
Routing Summary
This folder fully captures Viechtbauer (2010), Conducting Meta-Analyses in R with the metafor Package (J. Stat. Softw. 36(3)): fixed, random and mixed-effects meta-analysis models, estimators, the Q-test, /, meta-regression, Knapp-Hartung, likelihood-ratio and permutation tests, diagnostics, funnel/forest/radial/Q-Q plots, trim and fill, cumulative meta-analysis, BLUPs and the 13-study BCG vaccine example. It also gives formal statements of DerSimonian-Laird (1986) and Higgins-Thompson (2002). 10 notes.
- Need the paper on one page, headline BCG numbers, or the section-to-note map? → Viechtbauer 2010 - Conducting Meta-Analyses in R with the metafor Package - Overview
- Need the model equations (random, mixed, fixed targets) and the conditional versus unconditional inference distinction? → Viechtbauer 2010 - Fixed, Random and Mixed-Effects Models
- Need DerSimonian-Laird, Cochran’s Q, I-squared, H-squared, the seven estimators, truncation and Fisher scoring? → Viechtbauer 2010 - tau2 Estimators, Q-Test and Heterogeneity Statistics
- Need effect-size formulas (RR, OR, RD, SMD, Fisher z, logit…) and zero-cell handling? → Viechtbauer 2010 - Effect Size Measures and escalc
- Need
rma()syntax, moderators, omnibus test, categorical coding, Knapp-Hartung? → Viechtbauer 2010 - Fitting Models with rma, Moderators and Knapp-Hartung- Need the full BCG analysis with tables and a Python reproduction? → Viechtbauer 2010 - BCG Vaccine Worked Example
- Need residuals, Cook’s distance, leave-one-out, forest/funnel/radial/Q-Q plots, or Table 1 (API map)? → Viechtbauer 2010 - Residuals, Influence Diagnostics and Plots
- Need publication-bias tests, trim and fill, or cumulative meta-analysis? → Viechtbauer 2010 - Publication Bias, Trim-and-Fill and Cumulative Meta-Analysis
- Need LRT, permutation tests, BLUP shrinkage or fit statistics? → Viechtbauer 2010 - LRT, Permutation Tests, BLUPs and Model Fit
- Need assumptions and caveats, validation, the package comparison (Table 2), Mantel-Haenszel/Peto, or the reference map? → Viechtbauer 2010 - Technical Details, Validation and Package Comparison
Concept Map
Notes
- Viechtbauer 2010 - Conducting Meta-Analyses in R with the metafor Package - Overview — CONTAINS: research question, contribution, headline BCG numbers, full Source Map (all sections, Tables 1-2, Figures 1-11 → notes).
- Viechtbauer 2010 - Fixed, Random and Mixed-Effects Models — CONTAINS: Eq. (1)-(5); definitions of the three models; theorem on conditional vs unconditional inference; BCG interpretation.
- Viechtbauer 2010 - tau2 Estimators, Q-Test and Heterogeneity Statistics — CONTAINS: estimator table (HS, HE, DL, SJ, ML, REML, EB); Cochran’s Q; DL theorem with proof of ; Higgins-Thompson , ; Fisher scoring and truncation; BCG check; Python.
- Viechtbauer 2010 - Effect Size Measures and escalc — CONTAINS: all
escalcmeasures with formulas, zero-cell options, formula interface, trial-1 hand computation. - Viechtbauer 2010 - Fitting Models with rma, Moderators and Knapp-Hartung — CONTAINS:
rma.unisignature, moderator specification, omnibus test, categorical coding, Knapp-Hartung definition and verified example, Python meta-regression. - Viechtbauer 2010 - BCG Vaccine Worked Example — CONTAINS: 13-study data table, RE and mixed model outputs, predictions by latitude, categorical moderator, KH, Type I simulation, Python reproduction.
- Viechtbauer 2010 - Residuals, Influence Diagnostics and Plots — CONTAINS: Table 1 (function map), standardized residuals, influence measures, leave-one-out table, forest/funnel/radial/Q-Q plots.
- Viechtbauer 2010 - Publication Bias, Trim-and-Fill and Cumulative Meta-Analysis — CONTAINS: rank/regression asymmetry tests, trim and fill, cumulative forest plot, copas pointer, BCG results.
- Viechtbauer 2010 - LRT, Permutation Tests, BLUPs and Model Fit — CONTAINS: fit statistics, LRT theorem and BCG example, permutation test definition and results, BLUP definition and values, exact sign-permutation Python.
- Viechtbauer 2010 - Technical Details, Validation and Package Comparison — CONTAINS: introduction context, four assumptions, validation, Table 2 comparison, Mantel-Haenszel/Peto, reference map.
Sources
- Viechtbauer W (2010). Conducting Meta-Analyses in R with the metafor Package. Journal of Statistical Software 36(3), 1-48. PDF: Viechtbauer 2010 - Conducting Meta-Analyses in R with the metafor Package