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Linbo Wang

Showing results (1-10 of 194) with videos related to

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Statistics in Medicine|January 5, 2017
On the concordant survivorship assumptionLinbo Wang, Thomas Richardson
Journal of the Royal Statistical Society. Series B, Statistical Methodology|July 24, 2018
Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variablesLinbo Wang, Eric Tchetgen Tchetgen
Biometrika|March 10, 2022
Identifiability of causal effects with multiple causes and a binary outcomeDehan Kong, Shu Yang, Linbo Wang
Frontiers in Plant Science|March 14, 2019
Angiosperm-Wide and Family-Level Analyses of <i>AP2</i>/<i>ERF</i> Genes Reveal Differential Retention and Sequence Divergence After Whole-Genome DuplicationLinbo Wang, Hong Ma, Juan Lin
Biometrika|March 6, 2018
On falsification of the binary instrumental variable modelLinbo Wang, James M Robins, Thomas S Richardson
Biometrika|February 13, 2018
Identification and estimation of causal effects with outcomes truncated by deathLinbo Wang, Xiao-Hua Zhou, Thomas S Richardson
Statistica Sinica|May 17, 2021
Discrete Choice Models for Nonmonotone Nonignorable Missing Data: Identification and InferenceEric J Tchetgen Tchetgen, Linbo Wang, BaoLuo Sun
Journal of the Royal Statistical Society. Series B, Statistical Methodology|May 2, 2017
Causal analysis of ordinal treatments and binary outcomes under truncation by deathLinbo Wang, Thomas S Richardson, Xiao-Hua Zhou
Biometrics|January 19, 2022
Ultra-high dimensional variable selection for doubly robust causal inferenceDingke Tang, Dehan Kong, Wenliang Pan, et al.
Biometrics|November 3, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by HäggströmThomas S Richardson, James M Robins, Linbo Wang
Pageof 20

Showing results (1-10 of 194) with videos related to

Sort By:
Pageof 20
Statistics in Medicine|January 5, 2017
On the concordant survivorship assumptionLinbo Wang, Thomas Richardson
Journal of the Royal Statistical Society. Series B, Statistical Methodology|July 24, 2018
Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variablesLinbo Wang, Eric Tchetgen Tchetgen
Biometrika|March 10, 2022
Identifiability of causal effects with multiple causes and a binary outcomeDehan Kong, Shu Yang, Linbo Wang
Frontiers in Plant Science|March 14, 2019
Angiosperm-Wide and Family-Level Analyses of <i>AP2</i>/<i>ERF</i> Genes Reveal Differential Retention and Sequence Divergence After Whole-Genome DuplicationLinbo Wang, Hong Ma, Juan Lin
Biometrika|March 6, 2018
On falsification of the binary instrumental variable modelLinbo Wang, James M Robins, Thomas S Richardson
Biometrika|February 13, 2018
Identification and estimation of causal effects with outcomes truncated by deathLinbo Wang, Xiao-Hua Zhou, Thomas S Richardson
Statistica Sinica|May 17, 2021
Discrete Choice Models for Nonmonotone Nonignorable Missing Data: Identification and InferenceEric J Tchetgen Tchetgen, Linbo Wang, BaoLuo Sun
Journal of the Royal Statistical Society. Series B, Statistical Methodology|May 2, 2017
Causal analysis of ordinal treatments and binary outcomes under truncation by deathLinbo Wang, Thomas S Richardson, Xiao-Hua Zhou
Biometrics|January 19, 2022
Ultra-high dimensional variable selection for doubly robust causal inferenceDingke Tang, Dehan Kong, Wenliang Pan, et al.
Biometrics|November 3, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by HäggströmThomas S Richardson, James M Robins, Linbo Wang
Pageof 20