Cite
Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis.
MLA
Tai, An-Shun, and Sheng-Hsuan Lin. “Complete Effect Decomposition for an Arbitrary Number of Multiple Ordered Mediators with Time-Varying Confounders: A Method for Generalized Causal Multi-Mediation Analysis.” Statistical Methods in Medical Research, vol. 32, no. 1, Jan. 2023, pp. 100–17. EBSCOhost, https://doi.org/10.1177/09622802221130580.
APA
Tai, A.-S., & Lin, S.-H. (2023). Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis. Statistical Methods in Medical Research, 32(1), 100–117. https://doi.org/10.1177/09622802221130580
Chicago
Tai, An-Shun, and Sheng-Hsuan Lin. 2023. “Complete Effect Decomposition for an Arbitrary Number of Multiple Ordered Mediators with Time-Varying Confounders: A Method for Generalized Causal Multi-Mediation Analysis.” Statistical Methods in Medical Research 32 (1): 100–117. doi:10.1177/09622802221130580.