A sparse random projection-based test for overall qualitative treatment effects
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- Baqun Zhang & Anastasios A. Tsiatis & Eric B. Laber & Marie Davidian, 2012. "A Robust Method for Estimating Optimal Treatment Regimes," Biometrics, The International Biometric Society, vol. 68(4), pages 1010-1018, December.
- Minsu Chang & Sokbae Lee & Yoon‐Jae Whang, 2015. "Nonparametric tests of conditional treatment effects with an application to single‐sex schooling on academic achievements," Econometrics Journal, Royal Economic Society, vol. 18(3), pages 307-346, October.
- S. A. Murphy, 2003. "Optimal dynamic treatment regimes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(2), pages 331-355, May.
- Fan J. & Li R., 2001. "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1348-1360, December.
- Yingqi Zhao & Donglin Zeng & A. John Rush & Michael R. Kosorok, 2012. "Estimating Individualized Treatment Rules Using Outcome Weighted Learning," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 1106-1118, September.
- repec:bla:biomet:v:71:y:2015:i:4:p:895-904 is not listed on IDEAS
- Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Kato, Kengo, 2015.
"Some new asymptotic theory for least squares series: Pointwise and uniform results,"
Journal of Econometrics, Elsevier, vol. 186(2), pages 345-366.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2012. "Some New Asymptotic Theory for Least Squares Series: Pointwise and Uniform Results," Papers 1212.0442, arXiv.org, revised Jun 2015.
- Xianyang Zhang & Guang Cheng, 2017. "Simultaneous Inference for High-Dimensional Linear Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 757-768, April.
- Yu‐Chin Hsu, 2017.
"Consistent tests for conditional treatment effects,"
Econometrics Journal, Royal Economic Society, vol. 20(1), pages 1-22, February.
- Yu-Chin Hsu, 2013. "Consistent Tests for Conditional Treatment Effects," IEAS Working Paper : academic research 13-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Sep 2015.
- Stuart G. Baker & Nancy R. Cook & Andrew Vickers & Barnett S. Kramer, 2009. "Using relative utility curves to evaluate risk prediction," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 729-748, October.
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More about this item
Keywords
high-dimensional testing; optimal treatment regime; precision medicine; qualitative treatment effects; sparse random projection;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ORE-2020-04-27 (Operations Research)
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