Structural Nested Mean Models for Assessing Time-Varying Effect Moderation
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- S. Vansteelandt & E. Goetghebeur, 2003. "Causal inference with generalized structural mean models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(4), pages 817-835, November.
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- Wodtke, Geoffrey & Zhou, Xiang, 2019. "Effect Decomposition in the Presence of Treatment-induced Confounding: A Regression-with-residuals Approach," SocArXiv 86d2k, Center for Open Science.
- Changhui Kang & Myoung-jae Lee, 2014. "Estimation of Binary Response Models With Endogenous Regressors," Pacific Economic Review, Wiley Blackwell, vol. 19(4), pages 502-530, October.
- Myoung‐jae Lee & Young‐sook Kim, 2012. "Zero‐Inflated Endogenous Count In Censored Model: Effects Of Informal Family Care On Formal Health Care," Health Economics, John Wiley & Sons, Ltd., vol. 21(9), pages 1119-1133, September.
- Geoffrey T. Wodtke, 2020. "Regression-based Adjustment for Time-varying Confounders," Sociological Methods & Research, , vol. 49(4), pages 906-946, November.
- Geoffrey T. Wodtke & Zahide Alaca & Xiang Zhou, 2020. "Regression‐with‐residuals estimation of marginal effects: a method of adjusting for treatment‐induced confounders that may also be effect modifiers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 311-332, January.
- Vock David Michael & Vock Laura Frances Boehm, 2018. "Estimating the effect of plate discipline using a causal inference framework: an application of the G-computation algorithm," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 14(2), pages 37-56, June.
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