Fetching the paper…
Reading the bibliography…
Contrasting marginal counterfactual survival curves across treatment arms is an effective and popular approach for inferring the causal effect of an intervention on a right-censored time-to-event outcome.
1911
Earlier work this paper cites.
Robins, J. M. (1986), ‘A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect’, Mathematical Modelling
1986
Earlier work this paper cites.
Robins, J. M. (1987), ‘A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods’, Journal of Chronic Diseases
1987
Earlier work this paper cites.
Lin, D. Y., Wei, L.-J. & Ying, Z. (1993), ‘Checking the cox model with cumulative sums of martingale-based residuals’, Biometrika
1993
Earlier work this paper cites.
Connors, A. F., Speroff, T., Dawson, N. V., Thomas, C., Harrell, F. E., Wagner, D., Desbiens, N., Goldman, L., Wu, A. W., Califf, R. M. et al. (1996), ‘The effectiveness of right heart catheterization in the initial care of critically iii patients’, Jama
1996
Earlier work this paper cites.
Van Der Vaart, A. W., van der Vaart, A. W., van der Vaart, A. & Wellner, J. (1996), Weak convergence and empirical processes: with applications to statistics
1996
Earlier work this paper cites.
Robins, J. M. & Finkelstein, D. M. (2000), ‘Correcting for noncompliance and dependent censoring in an aids clinical trial with inverse probability of censoring weighted (ipcw) log-rank tests’, Biometrics
2000
Earlier work this paper cites.
Scharfstein, D. O. & Robins, J. M. (2002), ‘Estimation of the failure time distribution in the presence of informative censoring’, Biometrika
2002
Earlier work this paper cites.
Van der Laan, M. J., Laan, M. & Robins, J. M. (2003), Unified methods for censored longitudinal data and causality
2003
Earlier work this paper cites.
Rotnitzky, A. & Robins, J. (2005), ‘Inverse probability weighted estimation in survival analysis’, Encyclopedia of biostatistics
2005
Earlier work this paper cites.
Tan, Z. (2006), ‘A distributional approach for causal inference using propensity scores’, Journal of the American Statistical Association
2006
Earlier work this paper cites.
Tsiatis, A. A. (2006), ‘Semiparametric theory and missing data’
2006
Earlier work this paper cites.
Carrasco, M., Florens, J.-P. & Renault, E. (2007), ‘Linear inverse problems in structural econometrics estimation based on spectral decomposition and regularization’, Handbook of econometrics
2007
Earlier work this paper cites.
2009
Cited alongside, same era.
2011
Cited alongside, same era.
2012
Cited alongside, same era.
Li, J., Fine, J. & Brookhart, A. (2015), ‘Instrumental variable additive hazards models’, Biometrics
2015
Cited alongside, same era.
Tchetgen Tchetgen, E. J., Walter, S., Vansteelandt, S., Martinussen, T. & Glymour, M. (2015), ‘Instrumental variable estimation in a survival context’, Epidemiology (Cambridge, Mass.)
Tan, Z. (2020 a
2020
Later among the works it cites.
Tan, Z. (2020 b
2020
Later among the works it cites.
2021
Later among the works it cites.
Cui, Y., Michael, H., Tanser, F. & Tchetgen Tchetgen, E. (2021), ‘Instrumental variable estimation of the marginal structural Cox model for time-varying treatments’, Biometrika
2021
Later among the works it cites.
2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2015
Cited alongside, same era.
Vermeulen, K. & Vansteelandt, S. (2015), ‘Bias-reduced doubly robust estimation’, Journal of the American Statistical Association
2015
Cited alongside, same era.
Chan, K. C. G. (2016), ‘Reader reaction: Instrumental variable additive hazards models with exposure-dependent censoring’, Biometrics
2016
Cited alongside, same era.
Martinussen, T., Vansteelandt, S., Tchetgen Tchetgen, E. J. & Zucker, D. M. (2017), ‘Instrumental variables estimation of exposure effects on a time-to-event endpoint using structural cumulative survival models’, Biometrics
2017
Cited alongside, same era.
Miao, W., Geng, Z. & Tchetgen Tchetgen, E. J. (2018), ‘Identifying causal effects with proxy variables of an unmeasured confounder’, Biometrika
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Ying, A., Xu, R. & Murphy, J. (2019), ‘Two-stage residual inclusion for survival data and competing risks—an instrumental variable approach with application to seer-medicare linked data’, Statistics in Medicine
2019
Cited alongside, same era.
Deaner, B. (2020), ‘Proxy controls and panel data’, arXiv preprint arXiv:1810.00283v6
2020
Cited alongside, same era.
2021
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.