Wang Miao
Statistics and Probability · 2015–2018
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 46 citations into it; #6,176 of 12,932 by trust here, #6,310 by citations
- Economics and Econometrics — 7 citations into it
- Artificial Intelligence — 5 citations into it; #17,236 of 35,345 by trust here, #23,731 by citations
Whom Wang Miao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- James J. Heckman
- Kani Chen
- Chuanhai Liu
- A. Hall
- Sheng Wang
- Marc Lipsitch
- Jing Qin
- Yungtai Lo
- Jun Shao
Who trusts Wang Miao overall
- Yixin Wang
- Nathan Kallus
- Andrew Bennett
- Chaochao Lu
- Simon Washington
- David M. Blei
- Irene Y. Chen
- Guido W. Imbens
- Bernhard Schölkopf
- Xu Shi
Papers from Wang Miao's perspective
Ordered by how strongly the researchers Wang Miao trusts endorse each paper. Same corpus, a different order for every researcher.
- INFERENCE AND MISSING DATA
- Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
- The Interpretation of Interaction in Contingency Tables
- Econometric Analysis of Cross Section and Panel Data
- Sample selection bias as a specification error
- Parametric models for response‐biased sampling
- Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling
- Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies (Epidemiology)
- The central role of the propensity score in observational studies for causal effects
- On Measurement Bias in Causal Inference
Their papers
- Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder (2016) — 385 citations
- A confounding bridge approach for double negative control inference on causal effects (2018) — 95 citations
- Identification and Doubly Robust Estimation of Data Missing Not at Random with an Ancillary Variable (2015) — 10 citations
- Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data (2015) — 122 citations