Fetching the paper…
Reading the bibliography…
Unmeasured confounding is a threat to causal inference in observational studies.
The generalised inverse
James, M. (1978) · 1978
Earlier work this paper cites.
A new approach to causal inference in mortality studies with a sustained exposure period – application to control of the healthy worker survivor effect
Robins, J. (1986) · 1986
Earlier work this paper cites.
Analog Estimation Methods in Econometrics: Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Manski, C. F. (1988) · 1988
Earlier work this paper cites.
The role of known effects in observational studies
Rosenbaum, P. R. (1989) · 1989
Earlier work this paper cites.
Semiparametric efficiency bounds
Newey, W. K. (1990) · 1990
Earlier work this paper cites.
Detecting bias with confidence in observational studies
Rosenbaum, P. R. (1992) · 1992
Earlier work this paper cites.
Efficient and adaptive inference in semiparametric models
Bickel, P. J., Klaassen, C., Ritov, Y., and Wellner, J. (1993) · 1993
Earlier work this paper cites.
Large sample estimation and hypothesis testing
Newey, W. K. and McFadden, D. (1994) · 1994
Earlier work this paper cites.
Correcting for non-compliance in randomized trials using structural nested mean models
Robins, J. M. (1994) · 1994
Earlier work this paper cites.
Estimation of regression coefficients when some regressors are not always observed
Robins, J. M., Rotnitzky, A., and Zhao, L. P. (1994) · 1994
Earlier work this paper cites.
Asymptotic statistics
Van der Vaart, A. W. (1998) · 1998
Earlier work this paper cites.
Robust estimation in sequentially ignorable missing data and causal inference models
Robins, J. M. (2000) · 1999
Earlier work this paper cites.
Adjusting for nonignorable drop-out using semiparametric nonresponse models
Scharfstein, D. O., Rotnitzky, A., and Robins, J. M. (1999) · 1999
Earlier work this paper cites.
The theory of matrices
Gantmakher, F. R. (2000) · 2000
Earlier work this paper cites.
Comment on “Inference for semiparametric models: Some questions and an answer” by P.J. Bickel and J. Kwon
Robins, J. M. and Rotnitzky, A. (2001) · 2001
Earlier work this paper cites.
Weiss, N. S. (2002) · 2002
Earlier work this paper cites.
Unified methods for censored longitudinal data and causality
Van der Laan, M. J. and Robins, J. M. (2003) · 2003
Earlier work this paper cites.
Doubly robust estimation in missing data and causal inference models
Bang, H. and Robins, J. M. (2005) · 2005
Cited alongside, same era.
Evidence of bias in estimates of influenza vaccine effectiveness in seniors
Jackson, L. A., Jackson, M. L., Nelson, J. C., Neuzil, K. M., and Weiss, N. S. (2005) · 2005
Cited alongside, same era.
A distributional approach for causal inference using propensity scores
Tan, Z. (2006) · 2006
Cited alongside, same era.
Semiparametric theory and missing data
Tsiatis, A. (2007) · 2007
Cited alongside, same era.
Assessing intrauterine influences on offspring health outcomes: can epidemiological studies yield robust findings?
Davey Smith, G. (2008) · 2008
Cited alongside, same era.
Generalized inverse computation based on an orthogonal decomposition methodology
Gómez, P., Lacruz, B., and Pruneda, R. E. (2008) · 2008
Single world intervention graphs (SWIGs): A unification of the counterfactual and graphical approaches to causality
Richardson, T. S. and Robins, J. M. (2013) · 2013
Later among the works it cites.
The control outcome calibration approach for causal inference with unobserved confounding
Tchetgen Tchetgen, E. J. (2013) · 2013
Later among the works it cites.
Experimental design for biologists
Glass, D. J. (2014) · 2014
Later among the works it cites.
Measurement bias and effect restoration in causal inference
Kuroki, M. and Pearl, J. (2014) · 2014
Later among the works it cites.
Interpreting observational studies: why empirical calibration is needed to correct p-values
Schuemie, M. J., Ryan, P. B., DuMouchel, W., Suchard, M. A., and Madigan, D. (2014) · 2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Multiply robust inference for statistical interactions
Vansteelandt, S., VanderWeele, T. J., Tchetgen Tchetgen, E. J., and Robins, J. M. (2008) · 2008
Cited alongside, same era.
Bootstrap consistency for general semiparametric M-estimation
Cheng, G., Huang, J. Z., et al. (2010) · 2010
Cited alongside, same era.
Negative controls: a tool for detecting confounding and bias in observational studies
Lipsitch, M., Tchetgen Tchetgen, E. J., and Cohen, T. (2010) · 2010
Cited alongside, same era.
A method for detection of residual confounding in time-series and other observational studies
Flanders, W. D., Klein, M., Darrow, L. A., Strickland, M. J., Sarnat, S. E., Sarnat, J. A., Waller, L. A., Winquist, A., and Tolbert, P. E. (2011) · 2011
Cited alongside, same era.
Targeted learning: causal inference for observational and experimental data
Van der Laan, M. J. and Rose, S. (2011) · 2011
Cited alongside, same era.
Negative control exposures in epidemiologic studies. Comments on “Negative controls: a tool for detecting confounding and bias in observational studies”
Davey Smith, G. (2012) · 2012
Cited alongside, same era.
Chernozhukov, V., Escanciano, J. C., Ichimura, H., Newey, W. K., and Robins, J. M. (2016) · 2016
Later among the works it cites.
On negative outcome control of unobserved confounding as a generalization of difference-in-differences
Sofer, T., Richardson, D. B., Colicino, E., Schwartz, J., and Tchetgen Tchetgen, E. J. (2016) · 2016
Later among the works it cites.
Athey, S. and Wager, S. (2017) · 2017
Later among the works it cites.
Selecting the number of principal components: Estimation of the true rank of a noisy matrix
Choi, Y., Taylor, J., Tibshirani, R., et al. (2017) · 2017
Later among the works it cites.
A new method for partial correction of residual confounding in time-series and other observational studies
Flanders, W. D., Strickland, M. J., and Klein, M. (2017) · 2017
Later among the works it cites.
Invited commentary: Bias attenuation and identification of causal effects with multiple negative controls
Miao, W. and Tchetgen Tchetgen, E. J. (2017) · 2017
Later among the works it cites.
On the multiply robust estimation of the mean of the g-functional
Rotnitzky, A., Robins, J., and Babino, L. (2017) · 2017
Later among the works it cites.
Confounder adjustment in multiple hypothesis testing
Wang, J., Zhao, Q., Hastie, T., Owen, A. B., et al. (2017) · 2017
Later among the works it cites.
Identifying causal effects with proxy variables of an unmeasured confounder
Miao, W., Geng, Z., and Tchetgen Tchetgen, E. J. (2018) · 2018
Closest in time.
A confounding bridge approach for double negative control inference on causal effects
Miao, W. and Tchetgen, E. T. (2018) · 2018
Closest in time.
Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables
Wang, L. and Tchetgen Tchetgen, E. (2018) · 2018
Closest in time.