5 citations · 7 across the 2 of their papers we have counts for
4 papers
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables
Zhichao Jiang, Peng Ding
In causal inference, principal stratification is a framework for dealing with a posttreatment intermediate variable between a treatment and an outcome, in which the principal strat…
Discussion of "The Blessings of Multiple Causes" by Wang and Blei
Kosuke Imai, Zhichao Jiang
This commentary has two goals. We first critically review the deconfounder method and point out its advantages and limitations. We then briefly consider three possible ways to addr…
Measurement errors in the binary instrumental variable model
Zhichao Jiang, Peng Ding
Instrumental variable methods can identify causal effects even when the treatment and outcome are confounded. We study the problem of imperfect measurements of the binary instrumen…
Robust Modeling Using Non-Elliptically Contoured Multivariate t Distributions
Zhichao Jiang, Peng Ding
Models based on multivariate t distributions are widely applied to analyze data with heavy tails. However, all the marginal distributions of the multivariate t distributions are re…