訳), 朝倉書店 IBM_SPSS_Statistics_Core_System_User_Guide.pdf IBM_SPSS_Statistics_Base.pdf IBM_SPSS_Regression.pdf IBM_SPSS_Statistics_Algorithms.pdf Austin, P. C. (2008) A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003 (with discussion). Statistics in Medicine, 27, 2037-2069. Cohen,J. (1988). Statistical power analysis for the behavior sciences (2nd edn.). Hillsdale, NJ:Lawrence Erlbaum Associates. Guido W. Imbens , Donald B. Rubin (2015). Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction, Cambridge University Press. Haiyan Bai, M.H. Clark (2019) Propensity Score Methods and Applications, SAGE Publications, Inc. Ho, D. E., Imai, K., King, G. and Stuart, E. A. (2007) Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis, 15, 199-236. Imbens GW, Rubin D. B. (2015): Causal inference for statistics, social, and biomedical sciences; an introduction. Cambridge University Press Nguyen, T.-L., Collins, G.S., Spence, J., Daures, J.-P., Devereaux, P.J., Landais, P., and Manach, Y.L. (2017). Double-adjustment in propensity score matching analysis: Choosing a threshold for considering residual imbalance, BMC Medical Research Methodology, 17, 1-8 Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. (1996) A simulation study of the number of events per variable in logistic regression analysis.: J Clin Epidemiol. 1996 Dec; 49 (12) :1373-9. Rosenbaum, P. R. and Rubin D. B. (1983), The central role of the propensity score in observational studies for causal effects. Biometrika, 70: 41─55. Rosenbaum, P.R. (2002). Observational studies. In Observational studies (2nd ed., pp.1-17). New York: Springer. Xu, S., Ross, C., Raebel, M. A., Shetterly, S., Blanchette, C., & Smith, D. Use of stabilized inverse propensity scores as weights to directly estimate relative risk and its confidence intervals. Value Health. 2010; 13 (2): 273–277 岩崎 学 (2015). 統計的因果推論, 朝倉書店 大久保 将貴・黒川 博文(訳) (2023). 計量分析One Point 傾向スコア(Haiyan Bai and M.H. Clark (2019) の邦訳), 共立出版 高橋 将宜 (2022). 統計的因果推論の理論と実装, 共立出版 津川 友介(2020). 世界一わかりやすい「医療政策」の教科書, 医学書院 康永 秀生, 笹渕 裕介, 道端 伸明, 山名 隼人 (2018). できる!傾向スコア分析 SPSS・Stata・Rを用いた必勝マニュアル, 金原出版株式会社 星野 崇宏 (2009). 調査観察データの統計科学:因果推論・選択バイアス・データ融合, 岩波書店 星野 崇宏, 繁桝 算男(監訳) (2023). 統計的因果推論(上)(下) (Guido W. Imbens and Donald B. Rubin (2015) の邦StatsGuild Inc. 参考文献 参考文献 173
元のページ ../index.html#5