James M. Robins

MathematicsEconomics, Econometrics and Finance

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 15 papers. Top paper: “Minimax rates for heterogeneous causal effect estimation”.

Minimax rates for heterogeneous causal effect estimation

The Annals of Statistics(2024)10.1214/24-aos2369

N/A

0.373DataRank · unranked

11 citations

Sivaraman Balakrishnan, James M. Robins, L. H. Wasserman, Edward H. Kennedy

Potential outcome and decision theoretic foundations for statistical causality

Journal of Causal Inference(2023)10.1515/jci-2022-0012

N/A

0.330DataRank · unranked

8 citations

James M. Robins, Thomas S. Richardson

Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators

Journal of Econometrics(2023)10.1016/j.jeconom.2023.105500

N/A

0.312DataRank · unranked

7 citations

Rajarshi Mukherjee, James M. Robins, Lin Liu

Using observational data to emulate a randomized trial of dynamic treatment switching strategies

UNC Libraries(2020)10.17615/snzq-mt88

N/A

0DataRank · unranked

0 citations

Ashley Olson, Michael S Saag, Sophie Abgrall, Lauren E. Cain, Marie-Anne Vandenhende +50 more

A NEW PROJECTION-TYPE SPLIT-SAMPLE SCORE TEST IN LINEAR INSTRUMENTAL VARIABLES REGRESSION

UNC Libraries(2021)10.17615/zeyf-jr41

N/A

0DataRank · unranked

0 citations

Thomas Richardson, Eric Zivot, Saraswata Chaudhuri, James M. Robins

A Formal Causal Interpretation of the Case-Crossover Design

Biometrics(2022)10.1111/biom.13749

N/A

0DataRank · unranked

18 citations

Miguel A. Hernán, James M. Robins, Zach Shahn

Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes

Biometrics(2022)10.1111/biom.13687

N/A

0DataRank · unranked

1 citations

Xiangyu Meng, Thomas S. Richardson, James M. Robins, Linbo Wang

Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population

Statistics in Medicine(2023)10.1002/sim.9550

N/A

0DataRank · unranked

32 citations

James M. Robins, Sebastien Haneuse, Iman Saeed, Sarah E. Robertson, Elizabeth A. Stuart +2 more

Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness

Epidemiology(2023)10.1097/ede.0000000000001709

N/A

0DataRank · unranked

20 citations

Hanna Gerlovin, Michael J. Figueroa Muñiz, Jessica K. Wise, Arin L. Madenci, James M. Robins +8 more

Grace periods in comparative effectiveness studies of sustained treatments

Journal of the Royal Statistical Society Series A (Statistics in Society)(2024)10.1093/jrsssa/qnae002

N/A

0DataRank · unranked

13 citations

Aaron L. Sarvet, Lan Wen, Jason P. Block, Sheryl L. Rifas‐Shiman, James M. Robins +2 more

Using negative controls to identify causal effects with invalid instrumental variables

Biometrika(2024)10.1093/biomet/asae064

N/A

0DataRank · unranked

5 citations

David B. Richardson, Zach Shahn, James M. Robins, Eric J. Tchetgen Tchetgen, Oliver Dukes

Separable Effects for Causal Inference in the Presence of Competing Events

Journal of the American Statistical Association(2020)10.1080/01621459.2020.1765783

N/A

0DataRank · unranked

105 citations

Jessica G. Young, Vanessa Didelez, James M. Robins, Miguel A. Hernán, Mats Julius Stensrud

On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations

Biometrika(2025)10.1093/biomet/asaf067

N/A

0DataRank · unranked

0 citations

James M. Robins, A Rotnitzky, Ezequiel Smucler

Study Designs for Extending Causal Inferences From a Randomized Trial to a Target Population

American Journal of Epidemiology(2020)10.1093/aje/kwaa270

N/A

0DataRank · unranked

18 citations

Sebastien J-P.A. Haneuse, James M. Robins, Sarah E. Robertson, Ashley Buchanan, Elizabeth A Stuart +2 more

Potential biases arising from epidemic dynamics in observational seroprotection studies

medRxiv(2020)10.1101/2020.05.02.20088765

N/A

0DataRank · unranked

5 citations

Lee Kennedy‐Shaffer, Yonatan H. Grad, James M. Robins, Marc Lipsitch, Rebecca Kahn