T. D. Cook
Statistics and Probability · 2001–2018
A researcher in the Science corpus: 11 papers; trusts 39 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 63 citations into it; #1,146 of 12,932 by trust here, #1,211 by citations
- Education — 41 citations into it; #1,957 of 11,309 by trust here, #2,057 by citations
- Causal Inference & Discovery — 18 citations into it
- Economics and Econometrics — 16 citations into it
- Safety Research — 15 citations into it
- Sociology and Political Science — 14 citations into it; #1,712 of 22,756 by trust here, #7,219 by citations
- Gender Studies — 13 citations into it
- Management Science and Operations Research — 8 citations into it
Whom T. D. Cook trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- C. Anderson‐Cook
- R. Lalonde
- Erich Battistin
- William G. Howell
- Joshua D. Angrist
- Jeffrey A. Smith
- Brian A. Jacob
- W. Shadish
- Wilbert van der Klaauw
Who trusts T. D. Cook overall
- Guido W. Imbens
- John Antonakis
- Douglas H. Clements
- M. D. Cattaneo
- Luke Keele
- W. S. Barnett
- W. Shadish
- Howard S. Bloom
- R. Mccall
- Sebastian Calonico
Papers from T. D. Cook's perspective
Ordered by how strongly the researchers T. D. Cook trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistics and Causal Inference
- The central role of the propensity score in observational studies for causal effects
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Using Maimonides' Rule to Estimate the Effect of Class Size on Student Achievement
- Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
- Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs
- Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation
- Semiparametric Efficiency in Multivariate Regression Models with Missing Data
- Matched Sampling for Causal Effects: Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
- USING MAIMONIDES’ RULE TO ESTIMATE THE EFFECT OF CLASS SIZE ON SCHOLASTIC ACHIEVEMENT*
Their papers
- "Waiting for Life to Arrive": A history of the regression-discontinuity design in Psychology, Statistics and Economics (2008) — 316 citations
- Analyzing Regression-Discontinuity Designs With Multiple Assignment Variables (2013) — 139 citations
- Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within‐study comparisons (2008) — 654 citations
- THE INTERNAL AND EXTERNAL VALIDITY OF THE REGRESSION DISCONTINUITY DESIGN: A META‐ANALYSIS OF 15 WITHIN‐STUDY COMPARISONS (2018) — 70 citations
- The Validity and Precision of the Comparative Interrupted Time-Series Design (2016) — 55 citations
- On the Importance of Reliable Covariate Measurement in Selection Bias Adjustments Using Propensity Scores (2011) — 154 citations
- E. Regression Discontinuity Design: An Effectiveness-Based Evaluation of Five State Pre-Kindergarten Programs (2008) — 329 citations
- Friendship Influences during Early Adolescence: The Special Role of Friends' Grade Point Average. (2007) — 133 citations
- Randomized Experiments in Educational Policy Research: A Critical Examination of the Reasons the Educational Evaluation Community has Offered for not Doing Them (2002) — 243 citations
- Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2001) — 13,809 citations
- Objecting to the objections to using random assignment in educational research (2001) — 136 citations