Wu, Peng, Xu, Xinyi, Tong, Xingwei, Jiang, Qing, and Lu, Bo. Semiparametric estimation for average causal effects using propensity score-based spline. Retrieved from https://par.nsf.gov/biblio/10249922. Journal of Statistical Planning and Inference 212.C Web. doi:10.1016/j.jspi.2020.10.004.

Wu, Peng, Xu, Xinyi, Tong, Xingwei, Jiang, Qing, & Lu, Bo. Semiparametric estimation for average causal effects using propensity score-based spline. Journal of Statistical Planning and Inference, 212 (C). Retrieved from https://par.nsf.gov/biblio/10249922. https://doi.org/10.1016/j.jspi.2020.10.004

Wu, Peng, Xu, Xinyi, Tong, Xingwei, Jiang, Qing, and Lu, Bo. "Semiparametric estimation for average causal effects using propensity score-based spline". Journal of Statistical Planning and Inference 212 (C). Country unknown/Code not available. https://doi.org/10.1016/j.jspi.2020.10.004. https://par.nsf.gov/biblio/10249922.

@article{osti_10249922,
place = {Country unknown/Code not available}, title = {Semiparametric estimation for average causal effects using propensity score-based spline}, url = {https://par.nsf.gov/biblio/10249922}, DOI = {10.1016/j.jspi.2020.10.004}, abstractNote = {}, journal = {Journal of Statistical Planning and Inference}, volume = {212}, number = {C}, author = {Wu, Peng and Xu, Xinyi and Tong, Xingwei and Jiang, Qing and Lu, Bo}, editor = {null} }