Michela Bia

Statistics and Probability · 2008–2014

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Michela Bia trusts overall

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

  1. Donald B. Rubin
  2. Guido W. Imbens
  3. Paul R. Rosenbaum
  4. Keisuke Hirano
  5. Sascha O. Becker
  6. Paul Holland
  7. Whitney K. Newey
  8. Andrea Ichino
  9. Jianqing Fan
  10. David Ruppert

Who trusts Michela Bia overall

  1. Carlos A Flores
  2. D. Mears
  3. Marianna Marino
  4. Alfonso Flores-Lagunes
  5. Joshua C. Cochran
  6. Stéphane Lhuillery
  7. Giovanni Cerulli
  8. Arturo González
  9. Sonja E. Siennick
  10. P. Parrotta

Papers from Michela Bia's perspective

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

  1. The central role of the propensity score in observational studies for causal effects
  2. [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
  3. Estimating causal effects of treatments in randomized and nonrandomized studies.
  4. Statistics and Causal Inference
  5. The Role of the Propensity Score in Estimating Dose-Response Functions
  6. INFERENCE AND MISSING DATA
  7. Bayesian Inference for Causal Effects: The Role of Randomization
  8. Local polynomial modelling and its applications
  9. Estimation of Average Treatment Effects Based on Propensity Scores
  10. Kernel Estimation of Partial Means and a General Variance Estimator

Their papers