Dylan S. Small
Statistics and Probability · 2006–2018
A researcher in the Science corpus: 17 papers; trusts 120 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 214 citations into it; #786 of 12,932 by trust here, #946 by citations
- Genetics — 66 citations into it; #1,193 of 6,854 by trust here, #2,390 by citations
- Economics and Econometrics — 58 citations into it
- Causal Inference & Discovery — 57 citations into it
- Artificial Intelligence — 25 citations into it; #34,871 of 35,345 by trust here, #34,213 by citations
- Statistical Learning Theory — 14 citations into it
- Optimization & Training — 14 citations into it
- Management Science and Operations Research — 13 citations into it; #1,180 of 11,946 by trust here, #3,572 by citations
Whom Dylan S. Small trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guido W. Imbens
- Donald B. Rubin
- Paul R. Rosenbaum
- Joshua D. Angrist
- James M. Robins
- Zhiqiang Tan
- Lars Peter Hansen
- Jerry A. Hausman
- Philippe Huber
- A. Hall
Who trusts Dylan S. Small overall
- José R. Zubizarreta
- J. Bowden
- Paul R. Rosenbaum
- Michael T. M. Baiocchi
- Luke Keele
- Hyunseung Kang
- Ryo Okui
- Stephen Burgess
- Kosuke Imai
- George Davey Smith
Papers from Dylan S. Small's perspective
Ordered by how strongly the researchers Dylan S. Small 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
- [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
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Regression Shrinkage and Selection via the Lasso
- Bounds on Treatment Effects from Studies with Imperfect Compliance
- Statistics and Causal Inference
- INFERENCE AND MISSING DATA
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Identification of Causal effects Using Instrumental Variables
- Principal Stratification in Causal Inference
Their papers
- Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions (2007) — 165 citations
- Defining and Estimating Intervention Effects for Groups that will Develop an Auxiliary Outcome (2006) — 95 citations
- Split Samples and Design Sensitivity in Observational Studies (2009) — 88 citations
- DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION (2012) — 72 citations
- Effect Modification and Design Sensitivity in Observational Studies (2013) — 60 citations
- Randomization Inference in a Group–Randomized Trial of Treatments for Depression (2008) — 92 citations
- Bounds on causal effects in three‐arm trials with non‐compliance (2006) — 119 citations
- Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization (2014) — 328 citations
- Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap (2017) — 169 citations
- Confidence intervals for causal effects with invalid instruments by using two‐stage hard thresholding with voting (2016) — 128 citations
- Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score (2018) — 795 citations
- A review of instrumental variable estimators for Mendelian randomization (2015) — 1,545 citations
- Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples (2017) — 55 citations
- Non‐parametric methods for doubly robust estimation of continuous treatment effects (2015) — 328 citations
- Mediation Analysis Without Sequential Ignorability: Using Baseline Covariates Interacted with Random Assignment as Instrumental Variables (2011) — 50 citations
- War and Wages (2008) — 116 citations
- Marginal regression analysis of longitudinal data with time‐dependent covariates: a generalized method‐of‐moments approach (2007) — 87 citations