Tools for longitudinal meta-analysis where studies contribute effect sizes at multiple follow-up time points. Implements robust variance estimation (RVE) with Tipton small-sample corrections following Hedges, Tipton, and Johnson (2010) <doi:10.1002/jrsm.5> and Tipton (2015) <doi:10.1037/met0000011>, time-varying sensitivity analysis via the Impact Threshold for a Confounding Variable (ITCV) following Frank (2000) <doi:10.1177/0049124100029002003>, benchmark calibration of the ITCV threshold against observed study-level covariates, spline-based nonlinear time-trend modeling with a nonlinearity test, and leave-k-out fragility analysis across the follow-up trajectory. Designed for researchers synthesising evidence from studies with repeated outcome measurement in education, psychology, health, and the social sciences.
Package details |
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| Author | Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>) |
| Maintainer | Subir Hait <haitsubi@msu.edu> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/causalfragility-lab/metaLong |
| Package repository | View on CRAN |
| Installation |
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