M. Alan Brookhart

Statistics and Probability · 2003–2014

A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 40 citations into it; #6,009 of 12,932 by trust here, #1,432 by citations
• Causal Inference & Discovery — 10 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom M. Alan Brookhart trusts overall

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

1. Donald B. Rubin
2. Paul R. Rosenbaum
3. James M. Robins
4. Keisuke Hirano
5. Guido W. Imbens
6. T. Stürmer
7. Miguel A. Hern'an
8. Peter C. Austin
9. Kosuke Imai
10. Sebastian Schneeweiss

Who trusts M. Alan Brookhart overall

1. Peter C. Austin
2. Elizabeth A. Stuart
3. Gary King
4. Sudeepa Roy
5. W. Shadish
6. Stijn Vansteelandt
7. Erica E. Moodie
8. Douglas F. Prawitt
9. D. Westreich
10. Maarten Bekaert

Papers from M. Alan Brookhart's perspective

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

Their papers

• Variable selection for propensity score models. (2006) — 2,278 citations
• Evaluating uses of data mining techniques in propensity score estimation: a simulation study (2008) — 301 citations
• High-dimensional propensity score adjustment in studies of treatment effects using health care claims data (2009) — 1,091 citations
• Doubly robust estimation of causal effects. (2011) — 1,135 citations
• Risk of death in elderly users of conventional vs. atypical antipsychotic medications. (2005) — 972 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
• Black children and foster care placement in California (2003) — 107 citations