Individual participant data meta‐analysis to examine linear or non‐linear treatment‐covariate interactions at multiple time‐points for a continuous outcome
(2024)
Journal Article
Hattle, M., Ensor, J., Scandrett, K., van Middelkoop, M., van der Windt, D. A., Holden, M. A., & Riley, R. D. (2024). Individual participant data meta‐analysis to examine linear or non‐linear treatment‐covariate interactions at multiple time‐points for a continuous outcome. Research Synthesis Methods, https://doi.org/10.1002/jrsm.1750
Individual participant data (IPD) meta‐analysis projects obtain, harmonise, and synthesise original data from multiple studies. Many IPD meta‐analyses of randomised trials are initiated to identify treatment effect modifiers at the individual level,... Read More about Individual participant data meta‐analysis to examine linear or non‐linear treatment‐covariate interactions at multiple time‐points for a continuous outcome.