toyMeta

<p>A simple simulated meta-analysis of 50 studies with exponentially distributed population effects.</p>

datasets

Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019) <doi:10.1093/aje/kwz133>; Smith & VanderWeele (2021) <arXiv:2005.02908>). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b) <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect modification (Mathur et al., under review).

Maya Mathur

EValue

Sensitivity Analyses for Unmeasured Confounding and Other Biases
in Observational Studies and Meta-Analyses

Maya B. Mathur

Louisa H. Smith

Peng Ding

Tyler J. VanderWeele

toyMeta function

<p>An object of class <code>data.frame</code> with 50 rows and 2 columns.</p>

Format

An example meta-analysis — toyMeta

An example meta-analysis

toyMeta: An example meta-analysis

Description

Usage

Arguments

Format

Details