Web interfaces
3 tools
metabias.io
metabias.io
Sensitivity analyses for publication bias, p-hacking, unmeasured confounding, and their joint effects in meta-analyses. Point-and-click interface that produces publication-ready output.
evalue-calculator.com
E-value calculator
Sensitivity analyses for unmeasured confounding in observational studies. Computes E-values and confidence-interval-based bounds for a range of effect measures.
evalue-calculator.com/meta
E-values for meta-analyses
Sensitivity analyses for unmeasured confounding in meta-analyses. Complements the core E-value calculator with meta-analytic extensions.
R packages
12 packages
R package
miapack
Multiple imputation for missing-not-at-random data with incomplete auxiliary variables. Implements the methods from Mathur, Seaman, Zhang, McGrath & Shpitser.
With McGrath, Mathur
R package
multibiasmeta
Corrections and sensitivity analyses for within-study and across-study biases in meta-analyses.
With Braginsky, Mathur
R package
metabias
Common components — classes, methods, and documentation — for meta-analysis packages.
With Braginsky, Mathur
R package
truncnormbayes
Bayesian estimation of the parameters of a truncated normal distribution.
With Braginsky, King, Mathur
R package
phacking
Sensitivity analysis for p-hacking in meta-analyses.
With Braginsky, Mathur
R package
regmedint
Regression-based causal mediation analysis.
With Yoshida, Li, Mathur
R package
PublicationBias
Sensitivity analyses for publication bias in meta-analyses.
With Mathur, Wang, VanderWeele
R package
MetaUtility
Estimate the proportion of effects stronger than a threshold of scientific importance, effect-size conversions, and meta-analytic inference helpers.
With Mathur, VanderWeele
R package
NRejections
Metrics of outcome-wide evidence strength for studies testing multiple correlated outcomes.
With Mathur, VanderWeele
R package
EValue
Sensitivity analyses for unmeasured confounding or selection bias in observational studies and meta-analyses.
With Mathur, Ding, Smith, VanderWeele
R package
Replicate
Statistical analyses for multisite replication projects.
With Mathur, VanderWeele
R package
SimTimeVar
Simulate a longitudinal dataset with time-varying covariates with user-specified correlation structures across and within clusters.
With Mathur, Kapphahn, Garcia, Desai, Montez-Rath