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) and Tipton (2015) , time-varying sensitivity analysis via the Impact Threshold for a Confounding Variable (ITCV) following Frank (2000) , 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.