Jing Cheng
Statistics and Probability · with Baiocchi · 2006–2014
A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 29 citations into it; #4,746 of 12,932 by trust here, #5,661 by citations
- Economics and Econometrics — 12 citations into it
- Causal Inference & Discovery — 7 citations into it
Whom Jing Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guido W. Imbens
- Donald B. Rubin
- Charles F. Manski
- Joshua D. Angrist
- Alberto Abadie
- James M. Robins
- Paul R. Rosenbaum
- Alexander Balke
- Judea Pearl
- C. Frangakis
Who trusts Jing Cheng overall
- Kosuke Imai
- Stuart G. Baker
- Lindsay C. Page
- Qingyuan Zhao
- Barnett S. Kramer
- Avi Feller
- K. Lindeman
- Michael T. M. Baiocchi
- Dylan S. Small
- Peng Ding
Papers from Jing Cheng's perspective
Ordered by how strongly the researchers Jing Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- The central role of the propensity score in observational studies for causal effects
- Bounds on Treatment Effects from Studies with Imperfect Compliance
- Identification of Causal effects Using Instrumental Variables
- Principal Stratification in Causal Inference
- Statistics and Causal Inference
- Observational Studies
- A new design for randomized clinical trials.
- INFERENCE AND MISSING DATA
- Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
Their papers
- Bounds on causal effects in three‐arm trials with non‐compliance (2006) — 119 citations
- Tutorial in Biostatistics: Instrumental Variable Methods for Causal Inference* (2014) — 726 citations