maive_funnel_plot_helpers

<p>Components provided:
- `get_funnel_plot()` as the public high-level entrypoint
- internal helpers to validate and map `(dat, result)` into plot inputs
- an internal base-graphics engine that draws onto the current device</p>

internal

Meta-analysis traditionally assigns more weight to studies with lower standard errors,
assuming higher precision. However, in observational research, precision must be
estimated and is vulnerable to manipulation, such as p-hacking, to achieve statistical
significance. This can lead to spurious precision, invalidating inverse-variance
weighting and bias-correction methods like funnel plots. Common methods for addressing
publication bias, including selection models, often fail or exacerbate the problem.
This package introduces an instrumental variable approach to limit bias caused by
spurious precision in meta-analysis. Methods are described in 'Irsova et al.' (2025)
<doi:10.1038/s41467-025-63261-0>.

Petr Cala

MAIVE

Meta Analysis Instrumental Variable Estimator

Zuzana Irsova

Pedro R. D. Bom

Tomas Havranek

Heiko Rachinger

maive_funnel_plot_helpers function

Funnel plot (base graphics) — maive_funnel_plot_helpers

Funnel plot (base graphics)

maive_funnel_plot_helpers: Funnel plot (base graphics)

Description

Arguments

Details