Nature计算科学综述:经由准实验,从观察数据中推测因果关系(21)
2023-05-20 来源:飞速影视
59. Lawlor, D. A., Harbord, R. M., Sterne, J. A. C., Timpson, N. & Smith, G. D. Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat. Med. 27, 1133–1163 (2008).
60. Zhao, Q., Chen, Y., Wang, J. & Small, D. S. Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization. Int. J. Epidemiol. 48, 1478–1492 (2019).
61. Moscoe, E., Bor, J. & Bärnighausen, T. Regression discontinuity designs are underutilized in medicine, epidemiology, and public health: a review of current and best practice. J. Clin. Epidemiol. 68, 132–143 (2015).
62. Blake, T., Nosko, C. & Tadelis, S. Consumer heterogeneity and paid search efectiveness: a large-scale feld experiment. Econometrica 83, 155–174 (2015).
63. Dimick, J. B. & Ryan, A. M. Methods for evaluating changes in health care policy: the diference-in-diferences approach. JAMA 312, 2401–2402 (2014).
64. Kallus, N., Puli, A. M. & Shalit, U. Removing hidden confounding by experimental grounding. Adv. Neural Inf. Process. Syst. 31, 10888–10897 (2018).