stronger_than

True effect size that is the threshold for "scientific significance"

Pooled point estimate from meta-analysis

Estimated variance of pooled point estimate from meta-analysis

.vyr

Estimated heterogeneity (tau^2) from meta-analysis

Estimated variance of tau^2 from meta-analysis

.vt2

CI.level

<code>above</code> for the proportion of effects above <code>.q</code>; <code>below</code> for
the proportion of effects below <code>.q</code>.

.tail

This is a wrapper for <code>confounded_meta</code> that estimates, without any 
adjustment for confounding bias, the proportion of effect sizes above or
below a specified threshold. Effect sizes may be of any type (they need not
be relative risks).

Conducts sensitivity analyses for unmeasured confounding in
random-effects meta-analysis per Mathur & VanderWeele (in preparation).
Given output from a random-effects meta-analysis with a relative risk
outcome, computes point estimates and inference for: (1) the proportion
of studies with true causal effect sizes more extreme than a specified threshold
of scientific significance; and (2) the minimum bias factor and confounding
strength required to reduce to less than a specified threshold the proportion
of studies with true effect sizes of scientifically significant size.
Creates plots and tables for visualizing these metrics across a range of bias values.
Provides tools to easily scrape study-level data from a published forest plot or
summary table to obtain the needed estimates when these are not reported.

stronger_than: Estimate proportion of population effect sizes above or below a threshold

Description

Usage

Arguments