J. Birmingham

2003

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom J. Birmingham trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. James M. Robins
  2. Lars Peter Hansen
  3. D. Scharfstein
  4. Donald B. Rubin
  5. Andrea Rotnitzky
  6. Subir Ghosh
  7. Paul R. Rosenbaum

Who trusts J. Birmingham overall

  1. Qingyuan Zhao
  2. Jacob Dorn
  3. Dylan S. Small

Papers from J. Birmingham's perspective

Ordered by how strongly the researchers J. Birmingham trusts endorse each paper. Same corpus, a different order for every researcher.

  1. LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
  2. Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
  3. Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models
  4. INFERENCE AND MISSING DATA
  5. Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome
  6. Statistical Analysis With Missing Data
  7. Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests (Biometrics)
  8. A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods.
  9. G-Estimation of the Effect of Prophylaxis Therapy for Pneumocystis carinii Pneumonia on the Survival of AIDS Patients
  10. [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

Their papers