Babette A. Brumback
Statistics and Probability · 2000–2010
A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 104 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 24 citations into it; #431 of 12,932 by trust here, #342 by citations
- Causal Inference & Discovery — 9 citations into it; #36 of 364 by trust here, #32 by citations
Whom Babette A. Brumback trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James M. Robins
- Hans R. Künsch
- Paul Holland
- Donald B. Rubin
- Judea Pearl
- Paul R. Rosenbaum
- Sander Greenland
Who trusts Babette A. Brumback overall
- James A. Evans
- Konstantinos Fokianos
- M. J. van der Laan
- Peter C. Austin
- Ioana Bica
- Stephen R. Cole
- Sander Greenland
- James M. Robins
- Kosuke Imai
- Pierre Azoulay
Papers from Babette A. Brumback's perspective
Ordered by how strongly the researchers Babette A. Brumback trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistics and Causal Inference
- Marginal Structural Models versus Structural nested Models as Tools for Causal inference
- Bayesian Inference for Causal Effects: The Role of Randomization
- Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models
- The Jackknife and the Bootstrap for General Stationary Observations
- Observational Studies
- The Interpretation of Interaction in Contingency Tables
- [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
- INFERENCE AND MISSING DATA
- Bounds on Treatment Effects from Studies with Imperfect Compliance
Their papers
- Marginal Structural Models and Causal Inference in Epidemiology (2000) — 5,693 citations
- Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments (2001) — 526 citations
- An overview of relations among causal modelling methods. (2002) — 409 citations
- Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. (2000) — 1,846 citations
- Transitional Regression Models, with Application to Environmental Time Series (2000) — 179 citations
- Adjusting for confounding by cluster using generalized linear mixed models (2010) — 65 citations