Marshall Joffe's Contributions to Causal Inference, Biostatistics, and Epidemiology.
Isenberg D, Kennedy EH, Landis JR, Mitra N, Robins JM, Roy J, Stephens-Shields AJ, Yang W, Small DS.
Am J Epidemiol. 2024 Apr 08. 193(4):563-576. PMID: 37943689
Primary Faculty
James M. Robins
Other Positions
Faculty Affiliate in the Department of Biostatistics
Biostatistics
Harvard T.H. Chan School of Public Health
Bibliography
Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness.
Li G, Gerlovin H, Figueroa Muñiz MJ, Wise JK, Madenci AL, Robins JM, Aslan M, Cho K, Gaziano JM, Lipsitch M, Casas JP, Hernán MA, Dickerman BA.
Epidemiology. 2024 Mar 01. 35(2):137-149. PMID: 38109485
Video article: the subtemporal extradural approach to cavernous sinus tumour.
Robins JMW, Chumas PD, Tyagi AK.
Childs Nerv Syst. 2023 Dec. 39(12):3593. PMID: 37498336
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population.
Dahabreh IJ, Robins JM, Haneuse SJA, Saeed I, Robertson SE, Stuart EA, Hernán MA.
Stat Med. 2023 06 15. 42(13):2029-2043. PMID: 36847107
A formal causal interpretation of the case-crossover design.
Shahn Z, Hernán MA, Robins JM.
Biometrics. 2023 06. 79(2):1330-1343. PMID: 36001285
Rejoinder: A formal causal interpretation of the case-crossover design.
Shahn Z, Hernán MA, Robins JM.
Biometrics. 2023 06. 79(2):1351-1358. PMID: 36184798
Coherent modeling of longitudinal causal effects on binary outcomes.
Wang L, Meng X, Richardson TS, Robins JM.
Biometrics. 2023 06. 79(2):775-787. PMID: 35506445
Quantitative and functional visual field outcomes after endoscopic trans-sphenoidal pituitary adenectomy.
Parikh D, Robins JMW, Garretty T, Sheikh AJ, Tyagi AK, Nix PA, Phillips NI.
Acta Neurochir (Wien). 2022 06. 164(6):1605-1614. PMID: 35426509
MULTIPLY ROBUST ESTIMATORS OF CAUSAL EFFECTS FOR SURVIVAL OUTCOMES.
Wen L, Hernán MA, Robins JM.
Scand Stat Theory Appl. 2022 Sep. 49(3):1304-1328. PMID: 36033967
A generalized theory of separable effects in competing event settings.
Stensrud MJ, Hernán MA, Tchetgen Tchetgen EJ, Robins JM, Didelez V, Young JG.
Lifetime Data Anal. 2021 10. 27(4):588-631. PMID: 34468923
News
Better data, better health
CAUSALab investigates how to use data to support better decisions in medicine, public health, and policy.
Getting to know… Dongzhengyang "Ray" An, SM ’20
Biostatistics student Dongzhengyang "Ray" An discussed his path from China to Harvard Chan School, the draw of causal inference and machine learning, and how the pandemic has helped him reconnect with family and friends.
At 170th Cutter Lecture, James Robins discusses the 'causal revolution'
At 170th Cutter Lecture, James Robins, Mitchell L. and Robin LaFoley Dong Professor of Epidemiology, discusses the "causal revolution."
James Robins receives Nathan Mantel Lifetime Achievement Award
August 13, 2013 -- James Robins, whose work at the intersection of statistical science and epidemiology aims to estimate causal effects of exposures or drug treatments—as opposed to just associations—has received the 2013 Nathan Mantel Lifetime Achievement Award in…
