Linbo Wang

发表

Causal Inference with Selection and Confounding Variables

Linbo Wang, 2016 .

Statistica Sinica Preprint No : SS-2016-0325 . R 2 Title Discrete Choice Models for Nonmonotone Nonignorable Missing Data : Identification and Inference

BaoLuo Sun, Linbo Wang, Eric J Tchetgen Tchetgen, 2017 .

Identification and estimation of causal effects with confounders subject to instrumental missingness

P. Ding, Shu Yang, Linbo Wang, 2017 .

Robust Estimation of Propensity Score Weights via Subclassification

T. Richardson, Xiao‐Hua Zhou, Linbo Wang, 2016, 1602.06366.

Congenial Causal Inference with Binary Structural Nested Mean Models

J. Robins, T. Richardson, Linbo Wang, 2017 .

Causal Inference on Non-linear Spaces: Distribution Functions and Beyond

Zhenhua Lin, Linbo Wang, Dehan Kong, 2021 .

Fighting Noise with Noise: Causal Inference with Many Candidate Instruments

Stanislav Volgushev, Linbo Wang, Dehan Kong, 2022, 2203.09330.

Inverse Probability Weighting-based Mediation Analysis for Microbiome Data

J. Hu, S. Shelburne, Jiayi Shen, 2021, 2110.02440.

On Modeling and Estimation for the Relative Risk and Risk Difference

James M. Robins, Thomas S. Richardson, Linbo Wang, 2015, 1510.02430.

Identification and estimation of causal effects with outcomes truncated by death

Thomas S. Richardson, Xiao-Hua Zhou, Linbo Wang, 2016, Biometrika.

Homogeneity in the Instrument-exposure Association and Point Estimation Using Binary Instrumental Variables

F. Hartwig, G. Davey Smith, N. Davies, 2022, Epidemiology.

The Promises of Parallel Outcomes.

Linbo Wang, Dehan Kong, Ying Zhou, 2020, 2012.05849.

Causal inference on distribution functions

Zhenhua Lin, Linbo Wang, Dehan Kong, 2021, Journal of the Royal Statistical Society Series B: Statistical Methodology.

Outcome model free causal inference with ultra-high dimensional covariates.

Wenliang Pan, Linbo Wang, Dehan Kong, 2020 .

Ultra‐high dimensional variable selection for doubly robust causal inference

Wenliang Pan, Linbo Wang, Dehan Kong, 2020, Biometrics.

Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer's Studies

Hongtu Zhu, Dehan Kong, Linbo Wang, 2020 .

Discussion of “Data‐driven confounder selection via Markov and Bayesian networks” by Häggström

James M Robins, Thomas S Richardson, Linbo Wang, 2018, Biometrics.

Causal inference with confounders missing not at random

P. Ding, Shu Yang, Linbo Wang, 2017, Biometrika.

Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables

Eric Tchetgen Tchetgen, Linbo Wang, E. T. Tchetgen Tchetgen, 2016, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Considering strategies for SNP selection in genetic and polygenic risk scores

Lai Jiang, Linbo Wang, J. St-Pierre, 2022, Frontiers in Genetics.

On falsification of the binary instrumental variable model

J. Robins, T. Richardson, Linbo Wang, 2016, Biometrika.

Causal inference in degenerate systems: An impossibility result

Linbo Wang, Yue Wang, 2017, AISTATS.

In Search of Robust Measures of Generalization pdf

Ioannis Mitliagkas, Gintare Karolina Dziugaite, Daniel M. Roy, 2020, NeurIPS.

Estimation of local treatment effects under the binary instrumental variable model

J. Robins, T. Richardson, Linbo Wang, 2020, Biometrika.

Estimation of local treatment under the binary instrumental variable model

James M. Robins, Linbo Wang, Yuexia Zhang, 2020 .

Learning Causal Hazard Ratio with Endogeneity

S. Vansteelandt, T. Martinussen, E. Tchetgen, 2018 .

IV estimation of causal hazard ratio

S. Vansteelandt, T. Martinussen, Linbo Wang, 2018, 1807.05313.

Average Causal Effect Estimation Via Instrumental Variables: the No Simultaneous Heterogeneity Assumption

F. Hartwig, G. Davey Smith, N. Davies, 2020, Epidemiology.

Multiplicative Effect Modeling: The General Case

T. Richardson, Linbo Wang, J. Yin, 2019, 1906.00558.

Causal analysis in multi-arm trials with truncation by death

Thomas S. Richardson, Xiao-Hua Zhou, Linbo Wang, 2015 .

Causal analysis of ordinal treatments and binary outcomes under truncation by death

Thomas S Richardson, Xiao-Hua Zhou, Linbo Wang, 2015, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Nonparametric identification of causal effects with confounders subject to instrumental missingness

P. Ding, Shu Yang, Linbo Wang, 2017 .

Weak signal identification and inference in penalized likelihood models for categorical responses

A. Qu, Zhongyi Zhu, Peibei Shi, 2021, 2108.07940.

Adaptively Exploiting d-Separators with Causal Bandits

Daniel M. Roy, Linbo Wang, Blair Bilodeau, 2022, NeurIPS.

Implementation of Instrumental Variable Bounds for Data Missing Not at Random

Stefan Walter, Kathleen E Wirth, Linbo Wang, 2018, Epidemiology.

Discrete Choice Models for Nonmonotone Nonignorable Missing Data: Identiﬁcation and Inference

Linbo Wang, Baoluo Sun, E. T. Tchetgen, 2022 .

On the boundary between qualitative and quantitative measures of causal effects

Linbo Wang, Yue Wang, 2017, 1711.04466.

Identifiability of causal effects with multiple causes and a binary outcome.

Shu Yang, Linbo Wang, Dehan Kong, 2020, Biometrika.

The synthetic instrument: From sparse association to sparse causation

Linbo Wang, Dehan Kong, Dingke Tang, 2023, 2304.01098.

Coherent modeling of longitudinal causal effects on binary outcomes

J. Robins, T. Richardson, Linbo Wang, 2017, Biometrics.