T. Stürmer

Statistics and Probability · 2006–2023

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 38 citations into it; #8,610 of 12,932 by trust here, #1,887 by citations
• Causal Inference & Discovery — 9 citations into it

Whom T. Stürmer trusts overall

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

1. Donald B. Rubin
2. James M. Robins
3. Paul R. Rosenbaum

Who trusts T. Stürmer overall

1. Peter C. Austin
2. Sebastian Schneeweiss
3. M. Alan Brookhart

Papers from T. Stürmer's perspective

Ordered by how strongly the researchers T. Stürmer 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. Confounding and Collapsibility in Causal Inference
3. Doubly Robust Estimation in Missing Data and Causal Inference Models
4. Matching using estimated propensity scores: relating theory to practice.
5. Marginal Structural Models and Causal Inference in Epidemiology
6. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
7. Estimating causal effects from epidemiological data (Journal of Epidemiology and Community Health)
8. Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
9. Adjustment Methods: Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non‐Randomized Control Group
10. Covariate balancing propensity score

Their papers

• Variable selection for propensity score models. (2006) — 2,278 citations
• The active comparator, new user study design in pharmacoepidemiology: historical foundations and contemporary application (2015) — 614 citations
• A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. (2006) — 722 citations
• Doubly robust estimation of causal effects. (2011) — 1,135 citations
• Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection. (2023) — 670 citations
• The role of prediction modeling in propensity score estimation: an evaluation of logistic regression, bCART, and the covariate-balancing propensity score. (2014) — 116 citations