Sensitivity Analyses for Unmeasured Confounding in Meta-Analyses
Overview
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.
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- Exported functions with examples
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- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2021-11-02the request of the maintainer
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.3.0
- 1.2.02017-07-09 · diff ↗
- 1.1.02017-06-12 · diff ↗
- 1.0.02017-06-02
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-06-02
- Total releases
- 4 / 9 yrs
- License
- GPL-2 OSI
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