Laine E. Thomas
Statistics and Probability · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 10 citations into it
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Papers from Laine E. Thomas's perspective
Ordered by how strongly the researchers Laine E. Thomas trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The central role of the propensity score in observational studies for causal effects
- Matched Sampling for Causal Effects: Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
- Bayesian Inference for Causal Effects: The Role of Randomization
- [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
- Marginal Structural Models and Causal Inference in Epidemiology
- Statistics and Causal Inference
- Semiparametric Efficiency in Multivariate Regression Models with Missing Data
- Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome
- The Economic Costs of Conflict: A Case Study of the
Their papers
- Addressing Extreme Propensity Scores via the Overlap Weights (2018) — 708 citations
- Overlap Weighting: A Propensity Score Method That Mimics Attributes of a Randomized Clinical Trial. (2020) — 632 citations
- Medical Therapy for Heart Failure With Reduced Ejection Fraction: The CHAMP-HF Registry. (2018) — 1,164 citations