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Causal evidence is needed to act and it is often enough for the evidence to point towards a direction of the effect of an action.
Smoking and lung cancer: recent evidence and a discussion of some questions
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Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. (1974) · 1974
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Discussion of ”randomization analysis of experimental data in the Fisher randomization test” by D. Basu
Rubin, D. (1980) · 1980
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Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome
Rosenbaum, P. and Rubin, D. (1983) · 1983
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Semiparametric estimation of index coefficients
Powell, J., Stock, J., and Stoker, T. (1989) · 1989
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On the application of probability theory to agricultural experiments
Splawa-Neyman, J., Dabrowska, D., and Speed, T. (1990) · 1990
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Equivalence of direct, indirect, and slope estimators of average derivatives
Stoker, T. M. (1991) · 1991
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The asymptotic variance of semiparametric estimators
Newey, W. (1994) · 1994
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Identification of causal effects using instrumental variables
Angrist, J., Imbens, G., and Rubin, D. (1996) · 1996
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Asymptotic statistics
Van der Vaart, A. (2000) · 2000
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Causal discovery from changes
Tian, J. and Pearl, J. (2001) · 2001
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Observational studies
Rosenbaum, P. (2002) · 2002
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The propensity score with continuous treatments
Hirano, K. and Imbens, G. (2004) · 2004
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Varieties of causal intervention
Korb, K., Hope, L., Nicholson, A., and Axnick, K. (2004) · 2004
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Doubly robust estimation in missing data and causal inference models
Bang, H. and Robins, J. (2005) · 2005
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Microeconometrics: methods and applications
Cameron, A. and Trivedi, P. (2005) · 2005
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Unobserved heterogeneity and estimation of average partial effects
Wooldridge, J. (2005) · 2005
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Interventions and causal inference
Eberhardt, F. and Scheines, R. (2007) · 2007
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Transcription factors bind thousands of active and inactive regions in the drosophila blastoderm
Li, X., MacArthur, S., Bourgon, R., Nix, D., Pollard, D., Iyer, V., Hechmer, A., Simirenko, L., Stapleton, M., Hendriks, C., et al. (2008) · 2008
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Better LATE than nothing: Some comments on Deaton (2009) and Heckman and Urzua (2009)
Imbens, G. (2010) · 2009
Inference on treatment effects after selection among high-dimensional controls
Belloni, A., Chernozhukov, V., and Hansen, C. (2014) · 2014
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Confidence intervals and hypothesis testing for high-dimensional regression
Javanmard, A. and Montanari, A. (2014) · 2014
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External validity: From do-calculus to transportability across populations
Pearl, J. and Bareinboim, E. (2014) · 2014
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On asymptotically optimal confidence regions and tests for high-dimensional models
Van de Geer, S., Bühlmann, P., Ritov, Y., and Dezeure, R. (2014) · 2014
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Confidence intervals for low dimensional parameters in high dimensional linear models
Zhang, C.-H. and Zhang, S. (2014) · 2014
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Developmental roles of 21 drosophila transcription factors are determined by quantitative differences in binding to an overlapping set of thousands of genomic regions
MacArthur, S., Li, X., Li, J., Brown, J., Chu, H., Zeng, L., Grondona, B., Hechmer, A., Simirenko, L., Keränen, S., et al. (2009) · 2009
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P-values for high-dimensional regression
Meinshausen, N., Meier, L., and Bühlmann, P. (2009) · 2009
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Causal inference
Hernan, M. A. and Robins, J. M. (2010) · 2010
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Statistics for High-Dimensional Data: Methods, Theory and Applications
Bühlmann, P. and van de Geer, S. (2011) · 2011
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Population intervention causal effects based on stochastic interventions
Muñoz, I. and van der Laan, M. (2012) · 2012
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Concentration inequalities: A nonasymptotic theory of independence
Boucheron, S., Lugosi, G., and Massart, P. (2013) · 2013
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High-dimensional inference in misspecified linear models
Bühlmann, P. and van de Geer, S. (2015) · 2015
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Causal inference in statistics, social, and biomedical sciences
Imbens, G. and Rubin, D. (2015) · 2015
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Finite-sample optimal estimation and inference on average treatment effects under unconfoundedness
Armstrong, T. and Kolesár, M. (2018) · 2018
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Nonparametric causal effects based on incremental propensity score interventions
Kennedy, E. (2018) · 2018
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Double/de-biased machine learning using regularized Riesz representers
Chernozhukov, V., Newey, W., and Robins, J. (2019) · 2019
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Augmented minimax linear estimation
Hirshberg, D. A. and Wager, S. (2019) · 2019
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hdi: High-Dimensional Inference
Meier, L. (2019) · 2019
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Overlap in observational studies with high-dimensional covariates
D’Amour, A., Ding, P., Feller, A., Lei, L., and Sekhon, J. (2020) · 2020
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