metaLong: Longitudinal Meta-Analysis with Robust Variance Estimation and
Sensitivity Analysis
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.
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