Linbo Wang
Linbo Wang
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Titolo
Citata da
Citata da
Anno
Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables
L Wang, ET Tchetgen
Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2018
482018
On modeling and estimation for the relative risk and risk difference
TS Richardson, JM Robins, L Wang
Journal of the American Statistical Association 112 (519), 1121-1130, 2017
242017
On falsification of the binary instrumental variable model
L Wang, JM Robins, TS Richardson
Biometrika 104 (1), 229-236, 2017
172017
Identification and estimation of causal effects with outcomes truncated by death
L Wang, XH Zhou, TS Richardson
Biometrika 104 (3), 597-612, 2017
162017
Discrete choice models for nonmonotone nonignorable missing data: Identification and inference
EJT Tchetgen, L Wang, BL Sun
Statistica Sinica 28 (4), 2069-2088, 2018
142018
Causal analysis of ordinal treatments and binary outcomes under truncation by death
L Wang, TS Richardson, XH Zhou
Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2017
92017
Causal inference with confounders missing not at random
S Yang, L Wang, P Ding
Biometrika 106 (4), 875-888, 2019
82019
Implementation of instrumental variable bounds for data missing not at random
JR Marden, L Wang, EJT Tchetgen, S Walter, MM Glymour, KE Wirth
Epidemiology (Cambridge, Mass.) 29 (3), 364, 2018
72018
Congenial causal inference with binary structural nested mean models
L Wang, TS Richardson, JM Robins
arXiv preprint arXiv:1709.08281, 2017
52017
Multi-cause causal inference with unmeasured confounding and binary outcome
D Kong, S Yang, L Wang
arXiv preprint arXiv:1907.13323, 2019
32019
Learning causal hazard ratio with endogeneity
L Wang, ET Tchetgen, T Martinussen, S Vansteelandt
arXiv preprint arXiv:1807.05313, 2018
32018
Discussion of “Data-driven confounder selection via Markov and Bayesian networks” by Häggström
TS Richardson, JM Robins, L Wang
Biometrics 74 (2), 403, 2018
32018
Nonparametric identification of causal effects with confounders subject to instrumental missingness
S Yang, L Wang, P Ding
arXiv preprint arXiv:1702.03951, 2017
32017
Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer's Studies
D Yu, L Wang, D Kong, H Zhu
arXiv preprint arXiv:2007.04558, 2020
22020
Robust Estimation of Propensity Score Weights via Subclassification
L Wang, Y Zhang, TS Richardson, XH Zhou
arXiv preprint arXiv:1602.06366, 2016
12016
Identifiability of causal effects with multiple causes and a binary outcome
D Kong, S Yang, L Wang
Biometrika, 2021
2021
Estimation of local treatment effects under the binary instrumental variable model
L Wang, Y Zhang, TS Richardson, JM Robins
Biometrika, 2021
2021
Causal Inference on Non-linear Spaces: Distribution Functions and Beyond
Z Lin, D Kong, L Wang
arXiv preprint arXiv:2101.01599, 2021
2021
The Promises of Parallel Outcomes
Y Zhou, D Kong, L Wang
arXiv preprint arXiv:2012.05849, 2020
2020
Average causal effect estimation via instrumental variables: the no simultaneous heterogeneity assumption
FP Hartwig, J Bowden, L Wang, GD Smith, NM Davies
arXiv preprint arXiv:2010.10017, 2020
2020
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