Hua Yun Chen
Statistics and Probability · 2002–2004
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 11 citations into it; #11,021 of 12,932 by trust here, #12,077 by citations
Whom Hua Yun Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- James M. Robins
- Arthur P. Dempster
- Roderick J. A. Little
- Andrea Rotnitzky
- Nan M. Laird
- Lue Ping Zhao
- Thomas Mikosch
- Alastair Scott
- Yaacov Ritov
Who trusts Hua Yun Chen overall
Papers from Hua Yun Chen's perspective
Ordered by how strongly the researchers Hua Yun Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.
- INFERENCE AND MISSING DATA
- Regression with Missing X's: A Review
- Marginal Structural Models versus Structural nested Models as Tools for Causal inference
- Estimation of Regression Coefficients When Some Regressors are not Always Observed
- Bounds on Treatment Effects from Studies with Imperfect Compliance
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- [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
- Surrogate endpoints in clinical trials: definition and operational criteria.
- Missing Data, Imputation, and the Bootstrap
Their papers
- Double-Semiparametric Method for Missing Covariates in Cox Regression Models (2002) — 56 citations
- Nonparametric and Semiparametric Models for Missing Covariates in Parametric Regression (2004) — 63 citations