S. Seaman
Statistics and Probability · 2004–2021
A researcher in the Science corpus: 10 papers; trusts 39 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 89 citations into it; #4,249 of 12,932 by trust here, #2,965 by citations
- Artificial Intelligence — 33 citations into it
- Economics and Econometrics — 10 citations into it
- Optimization & Training — 7 citations into it
Whom S. Seaman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Patrick Royston
- James M. Robins
- Robert Tibshirani
- Donald B. Rubin
- Ian R. White
- Anastasios A. Tsiatis
- S. van Buuren
- Paul R. Rosenbaum
- Joseph L. Schafer
- Michael P. Jones
Who trusts S. Seaman overall
- Rachael A. Hughes
- Ian R. White
- Shu Yang
- P. Madley-Dowd
- Tobias Schnabel
- J. Heron
- David J. Balding
- K. Tilling
- Linbo Wang
- Adith Swaminathan
Papers from S. Seaman's perspective
Ordered by how strongly the researchers S. Seaman trusts endorse each paper. Same corpus, a different order for every researcher.
- The central role of the propensity score in observational studies for causal effects
- Inference for imputation estimators
- Estimation of Regression Coefficients When Some Regressors are not Always Observed
- Regression Shrinkage and Selection via the Lasso
- INFERENCE AND MISSING DATA
- Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
- Analysis of Incomplete Multivariate Data (Technometrics)
- Semiparametric Theory and Missing Data
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Estimating causal effects of treatments in randomized and nonrandomized studies.
Their papers
- How to develop a more accurate risk prediction model when there are few events (2015) — 644 citations
- Review and evaluation of penalised regression methods for risk prediction in low‐dimensional data with few events (2015) — 340 citations
- Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model (2012) — 463 citations
- Review of inverse probability weighting for dealing with missing data (2013) — 1,536 citations
- Combining Multiple Imputation and Inverse-Probability Weighting (2012) — 303 citations
- Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness (2014) — 67 citations
- Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study (2021) — 720 citations
- Correcting for Optimistic Prediction in Small Data Sets (2014) — 341 citations
- Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment (2004) — 973 citations
- Equivalence of prospective and retrospective models in the Bayesian analysis of case-control studies (2004) — 71 citations